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Latest Thesis and Research Topics in Software Engineering

Unique software engineering research topics for students.

more software engineers are needed as a result of the growing reliance on technology in both personal and professional spheres of life. Software engineering research topics are essential for solving complicated issues, increasing productivity, and fostering innovation. While software engineering is so important, it is equally difficult for students to get their degree in Software engineering.

Being said that many students struggle to keep up academically because software engineering is one of the most desired degrees. The final year thesis or dissertation is the most challenging assignment; many students are on the edge of losing their minds over it. While writing a thesis is one duty, coming up with an original and creative software engineering research topic is the first and most challenging step. Students with their assignments and activities don’t have enough time or energy to build a topic that is exactly right for them, finding a topic that is feasible and corresponds with your interests requires a lot of effort.

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List of Free Software Engineering Research Topics

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Automated software testing and quality control:

The study aims to improve programming testing and quality control through the execution of mechanized testing methods.

Objectives:

To efficiently detect software defeat and ensure complete test coverage, create an automated testing framework.
To determine which automated testing frameworks and tools are best suited to software development.
To analyze key metrics, and contrast them with the manual testing method to investigate the effects.

Impact of DevOps practices on software development:

The study aims to examine how DevOps practices affect software development productivity and efficiency.

To encourage cross-functional teams to collaborate, share information, and jointly advanced the development process.
To automate testing procedures like unit root tests, integration tests, and regression tests.
To change the activities for quality assurance and testing in the development process.

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Role of upgrading software security to enhance protection:

The aim of upgrading programming security through weakness identification and enhancing protection from possible breach

To find security flaws and weaknesses early on, employ, methods like vulnerability scanning, code reviews, and penetration testing.
To reduce the likelihood of being exploited, establish a procedure for resolving vulnerabilities as soon as possible.
To provide extensive security awareness and training programs, an organization can foster a security-conscious culture.

Adoption and effectiveness of continuous development:

The study aims to identify how effectively software engineering can be used for continuous development along with integration practices

To determine the benefit of implementing continuous deployment practices in numbers.
To evaluate the effect of computerizing the arrangement cycle, including code joining, testing, and delivery to the executive.
To analyze the impact of continuous integration practices on software development lifecycle enhancement.
To analyze how team communication and collaboration are affected by adopting software engineering practices and continuous development.

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Planning and assess client-driven approaches in software programming:

The study aims to plan and assess client driven approaches to programing necessities and designing.

To identify the beneficial client-driven approaches necessary for programming and designing.
To ensure the successful implementation of these approaches in an organization.
To investigate the outcomes of these approaches in the success or failure of an organization.

Analyzing software metrics and their applications:

The study aims to analyze software metrics and their application to predictive software quality assurance.

To evaluate a comprehensive set of software metrics that can shed light on software product quality.
To create predictive models that make use of the software metrics that have been identified to predict potential risk and quality issues.
To compare the predictions made by the predictive models to actual software quality outcomes.

Applying Block chain Innovation:

The study aims to investigate how the distinctive characteristics of Block chain technology can be used to enhance software development and deployment process

To assess the potential use cases and advantages of coordinating block chain innovation into the product advancement lifecycle.
To investigate the application of block chain for transparent deployment histories, and decentralized package management.
To influence block chain’s straightforwardness to work with reviewing and consistence process in programming advancement.

Investigation of augmented and Virtual Reality into Software Engineering Methods and Tools:

The study aims to deeply analyse the integration of Augmented and Virtual Reality into Software Engineering Methods and tools to enhance the efficiency

To measure the impact of the integration of AR and VR technologies on software engineering
To examine the practical and technical obstacles to incorporate to incorporating augmented reality and virtual reality into existing software engineering techniques and tools.
To analyze existing frameworks and solution that make it possible to integrate AR and VR Software.

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Computer Science Thesis Topics

This page provides a comprehensive list of computer science thesis topics , carefully curated to support students in identifying and selecting innovative and relevant areas for their academic research. Whether you are at the beginning of your research journey or are seeking a specific area to explore further, this guide aims to serve as an essential resource. With an expansive array of topics spread across various sub-disciplines of computer science, this list is designed to meet a diverse range of interests and academic needs. From the complexities of artificial intelligence to the intricate designs of web development, each category is equipped with 40 specific topics, offering a breadth of possibilities to inspire your next big thesis project. Explore our guide to find not only a topic that resonates with your academic ambitions but also one that has the potential to contribute significantly to the field of computer science.

1000 Computer Science Thesis Topics and Ideas

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Internet Of Things (IoT) Thesis Topics

Machine Learning Thesis Topics

Neural networks thesis topics, programming thesis topics, quantum computing thesis topics, robotics thesis topics, software engineering thesis topics, web development thesis topics.

Ethical Implications of AI in Decision-Making Processes
The Role of AI in Personalized Medicine: Opportunities and Challenges
Advances in AI-Driven Predictive Analytics in Retail
AI in Autonomous Vehicles: Safety, Regulation, and Technology Integration
Natural Language Processing: Improving Human-Machine Interaction
The Future of AI in Cybersecurity: Threats and Defenses
Machine Learning Algorithms for Real-Time Data Processing
AI and the Internet of Things: Transforming Smart Home Technology
The Impact of Deep Learning on Image Recognition Technologies
Reinforcement Learning: Applications in Robotics and Automation
AI in Finance: Algorithmic Trading and Risk Assessment
Bias and Fairness in AI: Addressing Socio-Technical Challenges
The Evolution of AI in Education: Customized Learning Experiences
AI for Environmental Conservation: Tracking and Predictive Analysis
The Role of Artificial Neural Networks in Weather Forecasting
AI in Agriculture: Predictive Analytics for Crop and Soil Management
Emotional Recognition AI: Implications for Mental Health Assessments
AI in Space Exploration: Autonomous Rovers and Mission Planning
Enhancing User Experience with AI in Video Games
AI-Powered Virtual Assistants: Trends, Effectiveness, and User Trust
The Integration of AI in Traditional Industries: Case Studies
Generative AI Models in Art and Creativity
AI in LegalTech: Document Analysis and Litigation Prediction
Healthcare Diagnostics: AI Applications in Radiology and Pathology
AI and Blockchain: Enhancing Security in Decentralized Systems
Ethics of AI in Surveillance: Privacy vs. Security
AI in E-commerce: Personalization Engines and Customer Behavior Analysis
The Future of AI in Telecommunications: Network Optimization and Service Delivery
AI in Manufacturing: Predictive Maintenance and Quality Control
Challenges of AI in Elderly Care: Ethical Considerations and Technological Solutions
The Role of AI in Public Safety and Emergency Response
AI for Content Creation: Impact on Media and Journalism
AI-Driven Algorithms for Efficient Energy Management
The Role of AI in Cultural Heritage Preservation
AI and the Future of Public Transport: Optimization and Management
Enhancing Sports Performance with AI-Based Analytics
AI in Human Resources: Automating Recruitment and Employee Management
Real-Time Translation AI: Breaking Language Barriers
AI in Mental Health: Tools for Monitoring and Therapy Assistance
The Future of AI Governance: Regulation and Standardization
AR in Medical Training and Surgery Simulation
The Impact of Augmented Reality in Retail: Enhancing Consumer Experience
Augmented Reality for Enhanced Navigation Systems
AR Applications in Maintenance and Repair in Industrial Settings
The Role of AR in Enhancing Online Education
Augmented Reality in Cultural Heritage: Interactive Visitor Experiences
Developing AR Tools for Improved Sports Coaching and Training
Privacy and Security Challenges in Augmented Reality Applications
The Future of AR in Advertising: Engagement and Measurement
User Interface Design for AR: Principles and Best Practices
AR in Automotive Industry: Enhancing Driving Experience and Safety
Augmented Reality for Emergency Response Training
AR and IoT: Converging Technologies for Smart Environments
Enhancing Physical Rehabilitation with AR Applications
The Role of AR in Enhancing Public Safety and Awareness
Augmented Reality in Fashion: Virtual Fitting and Personalized Shopping
AR for Environmental Education: Interactive and Immersive Learning
The Use of AR in Building and Architecture Planning
AR in the Entertainment Industry: Games and Live Events
Implementing AR in Museums and Art Galleries for Interactive Learning
Augmented Reality for Real Estate: Virtual Tours and Property Visualization
AR in Consumer Electronics: Integration in Smart Devices
The Development of AR Applications for Children’s Education
AR for Enhancing User Engagement in Social Media Platforms
The Application of AR in Field Service Management
Augmented Reality for Disaster Management and Risk Assessment
Challenges of Content Creation for Augmented Reality
Future Trends in AR Hardware: Wearables and Beyond
Legal and Ethical Considerations of Augmented Reality Technology
AR in Space Exploration: Tools for Simulation and Training
Interactive Shopping Experiences with AR: The Future of Retail
AR in Wildlife Conservation: Educational Tools and Awareness
The Impact of AR on the Publishing Industry: Interactive Books and Magazines
Augmented Reality and Its Role in Automotive Manufacturing
AR for Job Training: Bridging the Skill Gap in Various Industries
The Role of AR in Therapy: New Frontiers in Mental Health Treatment
The Future of Augmented Reality in Sports Broadcasting
AR as a Tool for Enhancing Public Art Installations
Augmented Reality in the Tourism Industry: Personalized Travel Experiences
The Use of AR in Security Training: Realistic and Safe Simulations
The Role of Big Data in Improving Healthcare Outcomes
Big Data and Its Impact on Consumer Behavior Analysis
Privacy Concerns in Big Data: Ethical and Legal Implications
The Application of Big Data in Predictive Maintenance for Manufacturing
Real-Time Big Data Processing: Tools and Techniques
Big Data in Financial Services: Fraud Detection and Risk Management
The Evolution of Big Data Technologies: From Hadoop to Spark
Big Data Visualization: Techniques for Effective Communication of Insights
The Integration of Big Data and Artificial Intelligence
Big Data in Smart Cities: Applications in Traffic Management and Energy Use
Enhancing Supply Chain Efficiency with Big Data Analytics
Big Data in Sports Analytics: Improving Team Performance and Fan Engagement
The Role of Big Data in Environmental Monitoring and Sustainability
Big Data and Social Media: Analyzing Sentiments and Trends
Scalability Challenges in Big Data Systems
The Future of Big Data in Retail: Personalization and Customer Experience
Big Data in Education: Customized Learning Paths and Student Performance Analysis
Privacy-Preserving Techniques in Big Data
Big Data in Public Health: Epidemiology and Disease Surveillance
The Impact of Big Data on Insurance: Tailored Policies and Pricing
Edge Computing in Big Data: Processing at the Source
Big Data and the Internet of Things: Generating Insights from IoT Data
Cloud-Based Big Data Analytics: Opportunities and Challenges
Big Data Governance: Policies, Standards, and Management
The Role of Big Data in Crisis Management and Response
Machine Learning with Big Data: Building Predictive Models
Big Data in Agriculture: Precision Farming and Yield Optimization
The Ethics of Big Data in Research: Consent and Anonymity
Cross-Domain Big Data Integration: Challenges and Solutions
Big Data and Cybersecurity: Threat Detection and Prevention Strategies
Real-Time Streaming Analytics in Big Data
Big Data in the Media Industry: Content Optimization and Viewer Insights
The Impact of GDPR on Big Data Practices
Quantum Computing and Big Data: Future Prospects
Big Data in E-Commerce: Optimizing Logistics and Inventory Management
Big Data Talent: Education and Skill Development for Data Scientists
The Role of Big Data in Political Campaigns and Voting Behavior Analysis
Big Data and Mental Health: Analyzing Patterns for Better Interventions
Big Data in Genomics and Personalized Medicine
The Future of Big Data in Autonomous Driving Technologies
The Role of Bioinformatics in Personalized Medicine
Next-Generation Sequencing Data Analysis: Challenges and Opportunities
Bioinformatics and the Study of Genetic Diseases
Computational Models for Understanding Protein Structure and Function
Bioinformatics in Drug Discovery and Development
The Impact of Big Data on Bioinformatics: Data Management and Analysis
Machine Learning Applications in Bioinformatics
Bioinformatics Approaches for Cancer Genomics
The Development of Bioinformatics Tools for Metagenomics Analysis
Ethical Considerations in Bioinformatics: Data Sharing and Privacy
The Role of Bioinformatics in Agricultural Biotechnology
Bioinformatics and Viral Evolution: Tracking Pathogens and Outbreaks
The Integration of Bioinformatics and Systems Biology
Bioinformatics in Neuroscience: Mapping the Brain
The Future of Bioinformatics in Non-Invasive Prenatal Testing
Bioinformatics and the Human Microbiome: Health Implications
The Application of Artificial Intelligence in Bioinformatics
Structural Bioinformatics: Computational Techniques for Molecular Modeling
Comparative Genomics: Insights into Evolution and Function
Bioinformatics in Immunology: Vaccine Design and Immune Response Analysis
High-Performance Computing in Bioinformatics
The Challenge of Proteomics in Bioinformatics
RNA-Seq Data Analysis and Interpretation
Cloud Computing Solutions for Bioinformatics Data
Computational Epigenetics: DNA Methylation and Histone Modification Analysis
Bioinformatics in Ecology: Biodiversity and Conservation Genetics
The Role of Bioinformatics in Forensic Analysis
Mobile Apps and Tools for Bioinformatics Research
Bioinformatics and Public Health: Epidemiological Studies
The Use of Bioinformatics in Clinical Diagnostics
Genetic Algorithms in Bioinformatics
Bioinformatics for Aging Research: Understanding the Mechanisms of Aging
Data Visualization Techniques in Bioinformatics
Bioinformatics and the Development of Therapeutic Antibodies
The Role of Bioinformatics in Stem Cell Research
Bioinformatics and Cardiovascular Diseases: Genomic Insights
The Impact of Machine Learning on Functional Genomics in Bioinformatics
Bioinformatics in Dental Research: Genetic Links to Oral Diseases
The Future of CRISPR Technology and Bioinformatics
Bioinformatics and Nutrition: Genomic Insights into Diet and Health
Blockchain for Enhancing Cybersecurity in Various Industries
The Impact of Blockchain on Supply Chain Transparency
Blockchain in Healthcare: Patient Data Management and Security
The Application of Blockchain in Voting Systems
Blockchain and Smart Contracts: Legal Implications and Applications
Cryptocurrencies: Market Trends and the Future of Digital Finance
Blockchain in Real Estate: Improving Property and Land Registration
The Role of Blockchain in Managing Digital Identities
Blockchain for Intellectual Property Management
Energy Sector Innovations: Blockchain for Renewable Energy Distribution
Blockchain and the Future of Public Sector Operations
The Impact of Blockchain on Cross-Border Payments
Blockchain for Non-Fungible Tokens (NFTs): Applications in Art and Media
Privacy Issues in Blockchain Applications
Blockchain in the Automotive Industry: Supply Chain and Beyond
Decentralized Finance (DeFi): Opportunities and Challenges
The Role of Blockchain in Combating Counterfeiting and Fraud
Blockchain for Sustainable Environmental Practices
The Integration of Artificial Intelligence with Blockchain
Blockchain Education: Curriculum Development and Training Needs
Blockchain in the Music Industry: Rights Management and Revenue Distribution
The Challenges of Blockchain Scalability and Performance Optimization
The Future of Blockchain in the Telecommunications Industry
Blockchain and Consumer Data Privacy: A New Paradigm
Blockchain for Disaster Recovery and Business Continuity
Blockchain in the Charity and Non-Profit Sectors
Quantum Resistance in Blockchain: Preparing for the Quantum Era
Blockchain and Its Impact on Traditional Banking and Financial Institutions
Legal and Regulatory Challenges Facing Blockchain Technology
Blockchain for Improved Logistics and Freight Management
The Role of Blockchain in the Evolution of the Internet of Things (IoT)
Blockchain and the Future of Gaming: Transparency and Fair Play
Blockchain for Academic Credentials Verification
The Application of Blockchain in the Insurance Industry
Blockchain and the Future of Content Creation and Distribution
Blockchain for Enhancing Data Integrity in Scientific Research
The Impact of Blockchain on Human Resources: Employee Verification and Salary Payments
Blockchain and the Future of Retail: Customer Loyalty Programs and Inventory Management
Blockchain and Industrial Automation: Trust and Efficiency
Blockchain for Digital Marketing: Transparency and Consumer Engagement
Multi-Cloud Strategies: Optimization and Security Challenges
Advances in Cloud Computing Architectures for Scalable Applications
Edge Computing: Extending the Reach of Cloud Services
Cloud Security: Novel Approaches to Data Encryption and Threat Mitigation
The Impact of Serverless Computing on Software Development Lifecycle
Cloud Computing and Sustainability: Energy-Efficient Data Centers
Cloud Service Models: Comparative Analysis of IaaS, PaaS, and SaaS
Cloud Migration Strategies: Best Practices and Common Pitfalls
The Role of Cloud Computing in Big Data Analytics
Implementing AI and Machine Learning Workloads on Cloud Platforms
Hybrid Cloud Environments: Management Tools and Techniques
Cloud Computing in Healthcare: Compliance, Security, and Use Cases
Cost-Effective Cloud Solutions for Small and Medium Enterprises (SMEs)
The Evolution of Cloud Storage Solutions: Trends and Technologies
Cloud-Based Disaster Recovery Solutions: Design and Reliability
Blockchain in Cloud Services: Enhancing Transparency and Trust
Cloud Networking: Managing Connectivity and Traffic in Cloud Environments
Cloud Governance: Managing Compliance and Operational Risks
The Future of Cloud Computing: Quantum Computing Integration
Performance Benchmarking of Cloud Services Across Different Providers
Privacy Preservation in Cloud Environments
Cloud Computing in Education: Virtual Classrooms and Learning Management Systems
Automation in Cloud Deployments: Tools and Strategies
Cloud Auditing and Monitoring Techniques
Mobile Cloud Computing: Challenges and Future Trends
The Role of Cloud Computing in Digital Media Production and Distribution
Security Risks in Multi-Tenancy Cloud Environments
Cloud Computing for Scientific Research: Enabling Complex Simulations
The Impact of 5G on Cloud Computing Services
Federated Clouds: Building Collaborative Cloud Environments
Managing Software Dependencies in Cloud Applications
The Economics of Cloud Computing: Cost Models and Pricing Strategies
Cloud Computing in Government: Security Protocols and Citizen Services
Cloud Access Security Brokers (CASBs): Security Enforcement Points
DevOps in the Cloud: Strategies for Continuous Integration and Deployment
Predictive Analytics in Cloud Computing
The Role of Cloud Computing in IoT Deployment
Implementing Robust Cybersecurity Measures in Cloud Architecture
Cloud Computing in the Financial Sector: Handling Sensitive Data
Future Trends in Cloud Computing: The Role of AI in Cloud Optimization
Advances in Microprocessor Design and Architecture
FPGA-Based Design: Innovations and Applications
The Role of Embedded Systems in Consumer Electronics
Quantum Computing: Hardware Development and Challenges
High-Performance Computing (HPC) and Parallel Processing
Design and Analysis of Computer Networks
Cyber-Physical Systems: Design, Analysis, and Security
The Impact of Nanotechnology on Computer Hardware
Wireless Sensor Networks: Design and Optimization
Cryptographic Hardware: Implementations and Security Evaluations
Machine Learning Techniques for Hardware Optimization
Hardware for Artificial Intelligence: GPUs vs. TPUs
Energy-Efficient Hardware Designs for Sustainable Computing
Security Aspects of Mobile and Ubiquitous Computing
Advanced Algorithms for Computer-Aided Design (CAD) of VLSI
Signal Processing in Communication Systems
The Development of Wearable Computing Devices
Computer Hardware Testing: Techniques and Tools
The Role of Hardware in Network Security
The Evolution of Interface Designs in Consumer Electronics
Biometric Systems: Hardware and Software Integration
The Integration of IoT Devices in Smart Environments
Electronic Design Automation (EDA) Tools and Methodologies
Robotics: Hardware Design and Control Systems
Hardware Accelerators for Deep Learning Applications
Developments in Non-Volatile Memory Technologies
The Future of Computer Hardware in the Era of Quantum Computing
Hardware Solutions for Data Storage and Retrieval
Power Management Techniques in Embedded Systems
Challenges in Designing Multi-Core Processors
System on Chip (SoC) Design Trends and Challenges
The Role of Computer Engineering in Aerospace Technology
Real-Time Systems: Design and Implementation Challenges
Hardware Support for Virtualization Technology
Advances in Computer Graphics Hardware
The Impact of 5G Technology on Mobile Computing Hardware
Environmental Impact Assessment of Computer Hardware Production
Security Vulnerabilities in Modern Microprocessors
Computer Hardware Innovations in the Automotive Industry
The Role of Computer Engineering in Medical Device Technology
Deep Learning Approaches to Object Recognition
Real-Time Image Processing for Autonomous Vehicles
Computer Vision in Robotic Surgery: Techniques and Challenges
Facial Recognition Technology: Innovations and Privacy Concerns
Machine Vision in Industrial Automation and Quality Control
3D Reconstruction Techniques in Computer Vision
Enhancing Sports Analytics with Computer Vision
Augmented Reality: Integrating Computer Vision for Immersive Experiences
Computer Vision for Environmental Monitoring
Thermal Imaging and Its Applications in Computer Vision
Computer Vision in Retail: Customer Behavior and Store Layout Optimization
Motion Detection and Tracking in Security Systems
The Role of Computer Vision in Content Moderation on Social Media
Gesture Recognition: Methods and Applications
Computer Vision in Agriculture: Pest Detection and Crop Analysis
Advances in Medical Imaging: Machine Learning and Computer Vision
Scene Understanding and Contextual Inference in Images
The Development of Vision-Based Autonomous Drones
Optical Character Recognition (OCR): Latest Techniques and Applications
The Impact of Computer Vision on Virtual Reality Experiences
Biometrics: Enhancing Security Systems with Computer Vision
Computer Vision for Wildlife Conservation: Species Recognition and Behavior Analysis
Underwater Image Processing: Challenges and Techniques
Video Surveillance: The Evolution of Algorithmic Approaches
Advanced Driver-Assistance Systems (ADAS): Leveraging Computer Vision
Computational Photography: Enhancing Image Capture Techniques
The Integration of AI in Computer Vision: Ethical and Technical Considerations
Computer Vision in the Gaming Industry: From Design to Interaction
The Future of Computer Vision in Smart Cities
Pattern Recognition in Historical Document Analysis
The Role of Computer Vision in the Manufacturing of Customized Products
Enhancing Accessibility with Computer Vision: Tools for the Visually Impaired
The Use of Computer Vision in Behavioral Research
Predictive Analytics with Computer Vision in Sports
Image Synthesis with Generative Adversarial Networks (GANs)
The Use of Computer Vision in Remote Sensing
Real-Time Video Analytics for Public Safety
The Role of Computer Vision in Telemedicine
Computer Vision and the Internet of Things (IoT): A Synergistic Approach
Future Trends in Computer Vision: Quantum Computing and Beyond
Advances in Cryptography: Post-Quantum Cryptosystems
Artificial Intelligence in Cybersecurity: Threat Detection and Response
Blockchain for Enhanced Security in Distributed Networks
The Impact of IoT on Cybersecurity: Vulnerabilities and Solutions
Cybersecurity in Cloud Computing: Best Practices and Tools
Ethical Hacking: Techniques and Ethical Implications
The Role of Human Factors in Cybersecurity Breaches
Privacy-preserving Technologies in an Age of Surveillance
The Evolution of Ransomware Attacks and Defense Strategies
Secure Software Development: Integrating Security in DevOps (DevSecOps)
Cybersecurity in Critical Infrastructure: Challenges and Innovations
The Future of Biometric Security Systems
Cyber Warfare: State-sponsored Attacks and Defense Mechanisms
The Role of Cybersecurity in Protecting Digital Identities
Social Engineering Attacks: Prevention and Countermeasures
Mobile Security: Protecting Against Malware and Exploits
Wireless Network Security: Protocols and Practices
Data Breaches: Analysis, Consequences, and Mitigation
The Ethics of Cybersecurity: Balancing Privacy and Security
Regulatory Compliance and Cybersecurity: GDPR and Beyond
The Impact of 5G Technology on Cybersecurity
The Role of Machine Learning in Cyber Threat Intelligence
Cybersecurity in Automotive Systems: Challenges in a Connected Environment
The Use of Virtual Reality for Cybersecurity Training and Simulation
Advanced Persistent Threats (APT): Detection and Response
Cybersecurity for Smart Cities: Challenges and Solutions
Deep Learning Applications in Malware Detection
The Role of Cybersecurity in Healthcare: Protecting Patient Data
Supply Chain Cybersecurity: Identifying Risks and Solutions
Endpoint Security: Trends, Challenges, and Future Directions
Forensic Techniques in Cybersecurity: Tracking and Analyzing Cyber Crimes
The Influence of International Law on Cyber Operations
Protecting Financial Institutions from Cyber Frauds and Attacks
Quantum Computing and Its Implications for Cybersecurity
Cybersecurity and Remote Work: Emerging Threats and Strategies
IoT Security in Industrial Applications
Cyber Insurance: Risk Assessment and Management
Security Challenges in Edge Computing Environments
Anomaly Detection in Network Security Using AI Techniques
Securing the Software Supply Chain in Application Development
Big Data Analytics: Techniques and Applications in Real-time
Machine Learning Algorithms for Predictive Analytics
Data Science in Healthcare: Improving Patient Outcomes with Predictive Models
The Role of Data Science in Financial Market Predictions
Natural Language Processing: Emerging Trends and Applications
Data Visualization Tools and Techniques for Enhanced Business Intelligence
Ethics in Data Science: Privacy, Fairness, and Transparency
The Use of Data Science in Environmental Science for Sustainability Studies
The Impact of Data Science on Social Media Marketing Strategies
Data Mining Techniques for Detecting Patterns in Large Datasets
AI and Data Science: Synergies and Future Prospects
Reinforcement Learning: Applications and Challenges in Data Science
The Role of Data Science in E-commerce Personalization
Predictive Maintenance in Manufacturing Through Data Science
The Evolution of Recommendation Systems in Streaming Services
Real-time Data Processing with Stream Analytics
Deep Learning for Image and Video Analysis
Data Governance in Big Data Analytics
Text Analytics and Sentiment Analysis for Customer Feedback
Fraud Detection in Banking and Insurance Using Data Science
The Integration of IoT Data in Data Science Models
The Future of Data Science in Quantum Computing
Data Science for Public Health: Epidemic Outbreak Prediction
Sports Analytics: Performance Improvement and Injury Prevention
Data Science in Retail: Inventory Management and Customer Journey Analysis
Data Science in Smart Cities: Traffic and Urban Planning
The Use of Blockchain in Data Security and Integrity
Geospatial Analysis for Environmental Monitoring
Time Series Analysis in Economic Forecasting
Data Science in Education: Analyzing Trends and Student Performance
Predictive Policing: Data Science in Law Enforcement
Data Science in Agriculture: Yield Prediction and Soil Health
Computational Social Science: Analyzing Societal Trends
Data Science in Energy Sector: Consumption and Optimization
Personalization Technologies in Healthcare Through Data Science
The Role of Data Science in Content Creation and Media
Anomaly Detection in Network Security Using Data Science Techniques
The Future of Autonomous Vehicles: Data Science-Driven Innovations
Multimodal Data Fusion Techniques in Data Science
Scalability Challenges in Data Science Projects
The Role of Digital Transformation in Business Model Innovation
The Impact of Digital Technologies on Customer Experience
Digital Transformation in the Banking Sector: Trends and Challenges
The Use of AI and Robotics in Digital Transformation of Manufacturing
Digital Transformation in Healthcare: Telemedicine and Beyond
The Influence of Big Data on Decision-Making Processes in Corporations
Blockchain as a Driver for Transparency in Digital Transformation
The Role of IoT in Enhancing Operational Efficiency in Industries
Digital Marketing Strategies: SEO, Content, and Social Media
The Integration of Cyber-Physical Systems in Industrial Automation
Digital Transformation in Education: Virtual Learning Environments
Smart Cities: The Role of Digital Technologies in Urban Planning
Digital Transformation in the Retail Sector: E-commerce Evolution
The Future of Work: Impact of Digital Transformation on Workplaces
Cybersecurity Challenges in a Digitally Transformed World
Mobile Technologies and Their Impact on Digital Transformation
The Role of Digital Twin Technology in Industry 4.0
Digital Transformation in the Public Sector: E-Government Services
Data Privacy and Security in the Age of Digital Transformation
Digital Transformation in the Energy Sector: Smart Grids and Renewable Energy
The Use of Augmented Reality in Training and Development
The Role of Virtual Reality in Real Estate and Architecture
Digital Transformation and Sustainability: Reducing Environmental Footprint
The Role of Digital Transformation in Supply Chain Optimization
Digital Transformation in Agriculture: IoT and Smart Farming
The Impact of 5G on Digital Transformation Initiatives
The Influence of Digital Transformation on Media and Entertainment
Digital Transformation in Insurance: Telematics and Risk Assessment
The Role of AI in Enhancing Customer Service Operations
The Future of Digital Transformation: Trends and Predictions
Digital Transformation and Corporate Governance
The Role of Leadership in Driving Digital Transformation
Digital Transformation in Non-Profit Organizations: Challenges and Benefits
The Economic Implications of Digital Transformation
The Cultural Impact of Digital Transformation on Organizations
Digital Transformation in Transportation: Logistics and Fleet Management
User Experience (UX) Design in Digital Transformation
The Role of Digital Transformation in Crisis Management
Digital Transformation and Human Resource Management
Implementing Change Management in Digital Transformation Projects
Scalability Challenges in Distributed Systems: Solutions and Strategies
Blockchain Technology: Enhancing Security and Transparency in Distributed Networks
The Role of Edge Computing in Distributed Systems
Designing Fault-Tolerant Systems in Distributed Networks
The Impact of 5G Technology on Distributed Network Architectures
Machine Learning Algorithms for Network Traffic Analysis
Load Balancing Techniques in Distributed Computing
The Use of Distributed Ledger Technology Beyond Cryptocurrencies
Network Function Virtualization (NFV) and Its Impact on Service Providers
The Evolution of Software-Defined Networking (SDN) in Enterprise Environments
Implementing Robust Cybersecurity Measures in Distributed Systems
Quantum Computing: Implications for Network Security in Distributed Systems
Peer-to-Peer Network Protocols and Their Applications
The Internet of Things (IoT): Network Challenges and Communication Protocols
Real-Time Data Processing in Distributed Sensor Networks
The Role of Artificial Intelligence in Optimizing Network Operations
Privacy and Data Protection Strategies in Distributed Systems
The Future of Distributed Computing in Cloud Environments
Energy Efficiency in Distributed Network Systems
Wireless Mesh Networks: Design, Challenges, and Applications
Multi-Access Edge Computing (MEC): Use Cases and Deployment Challenges
Consensus Algorithms in Distributed Systems: From Blockchain to New Applications
The Use of Containers and Microservices in Building Scalable Applications
Network Slicing for 5G: Opportunities and Challenges
The Role of Distributed Systems in Big Data Analytics
Managing Data Consistency in Distributed Databases
The Impact of Distributed Systems on Digital Transformation Strategies
Augmented Reality over Distributed Networks: Performance and Scalability Issues
The Application of Distributed Systems in Smart Grid Technology
Developing Distributed Applications Using Serverless Architectures
The Challenges of Implementing IPv6 in Distributed Networks
Distributed Systems for Disaster Recovery: Design and Implementation
The Use of Virtual Reality in Distributed Network Environments
Security Protocols for Ad Hoc Networks in Emergency Situations
The Role of Distributed Networks in Enhancing Mobile Broadband Services
Next-Generation Protocols for Enhanced Network Reliability and Performance
The Application of Blockchain in Securing Distributed IoT Networks
Dynamic Resource Allocation Strategies in Distributed Systems
The Integration of Distributed Systems with Existing IT Infrastructure
The Future of Autonomous Systems in Distributed Networking
The Integration of GIS with Remote Sensing for Environmental Monitoring
GIS in Urban Planning: Techniques for Sustainable Development
The Role of GIS in Disaster Management and Response Strategies
Real-Time GIS Applications in Traffic Management and Route Planning
The Use of GIS in Water Resource Management
GIS and Public Health: Tracking Epidemics and Healthcare Access
Advances in 3D GIS: Technologies and Applications
GIS in Agricultural Management: Precision Farming Techniques
The Impact of GIS on Biodiversity Conservation Efforts
Spatial Data Analysis for Crime Pattern Detection and Prevention
GIS in Renewable Energy: Site Selection and Resource Management
The Role of GIS in Historical Research and Archaeology
GIS and Machine Learning: Integrating Spatial Analysis with Predictive Models
Cloud Computing and GIS: Enhancing Accessibility and Data Processing
The Application of GIS in Managing Public Transportation Systems
GIS in Real Estate: Market Analysis and Property Valuation
The Use of GIS for Environmental Impact Assessments
Mobile GIS Applications: Development and Usage Trends
GIS and Its Role in Smart City Initiatives
Privacy Issues in the Use of Geographic Information Systems
GIS in Forest Management: Monitoring and Conservation Strategies
The Impact of GIS on Tourism: Enhancing Visitor Experiences through Technology
GIS in the Insurance Industry: Risk Assessment and Policy Design
The Development of Participatory GIS (PGIS) for Community Engagement
GIS in Coastal Management: Addressing Erosion and Flood Risks
Geospatial Analytics in Retail: Optimizing Location and Consumer Insights
GIS for Wildlife Tracking and Habitat Analysis
The Use of GIS in Climate Change Studies
GIS and Social Media: Analyzing Spatial Trends from User Data
The Future of GIS: Augmented Reality and Virtual Reality Applications
GIS in Education: Tools for Teaching Geographic Concepts
The Role of GIS in Land Use Planning and Zoning
GIS for Emergency Medical Services: Optimizing Response Times
Open Source GIS Software: Development and Community Contributions
GIS and the Internet of Things (IoT): Converging Technologies for Advanced Monitoring
GIS for Mineral Exploration: Techniques and Applications
The Role of GIS in Municipal Management and Services
GIS and Drone Technology: A Synergy for Precision Mapping
Spatial Statistics in GIS: Techniques for Advanced Data Analysis
Future Trends in GIS: The Integration of AI for Smarter Solutions
The Evolution of User Interface (UI) Design: From Desktop to Mobile and Beyond
The Role of HCI in Enhancing Accessibility for Disabled Users
Virtual Reality (VR) and Augmented Reality (AR) in HCI: New Dimensions of Interaction
The Impact of HCI on User Experience (UX) in Software Applications
Cognitive Aspects of HCI: Understanding User Perception and Behavior
HCI and the Internet of Things (IoT): Designing Interactive Smart Devices
The Use of Biometrics in HCI: Security and Usability Concerns
HCI in Educational Technologies: Enhancing Learning through Interaction
Emotional Recognition and Its Application in HCI
The Role of HCI in Wearable Technology: Design and Functionality
Advanced Techniques in Voice User Interfaces (VUIs)
The Impact of HCI on Social Media Interaction Patterns
HCI in Healthcare: Designing User-Friendly Medical Devices and Software
HCI and Gaming: Enhancing Player Engagement and Experience
The Use of HCI in Robotic Systems: Improving Human-Robot Interaction
The Influence of HCI on E-commerce: Optimizing User Journeys and Conversions
HCI in Smart Homes: Interaction Design for Automated Environments
Multimodal Interaction: Integrating Touch, Voice, and Gesture in HCI
HCI and Aging: Designing Technology for Older Adults
The Role of HCI in Virtual Teams: Tools and Strategies for Collaboration
User-Centered Design: HCI Strategies for Developing User-Focused Software
HCI Research Methodologies: Experimental Design and User Studies
The Application of HCI Principles in the Design of Public Kiosks
The Future of HCI: Integrating Artificial Intelligence for Smarter Interfaces
HCI in Transportation: Designing User Interfaces for Autonomous Vehicles
Privacy and Ethics in HCI: Addressing User Data Security
HCI and Environmental Sustainability: Promoting Eco-Friendly Behaviors
Adaptive Interfaces: HCI Design for Personalized User Experiences
The Role of HCI in Content Creation: Tools for Artists and Designers
HCI for Crisis Management: Designing Systems for Emergency Use
The Use of HCI in Sports Technology: Enhancing Training and Performance
The Evolution of Haptic Feedback in HCI
HCI and Cultural Differences: Designing for Global User Bases
The Impact of HCI on Digital Marketing: Creating Engaging User Interactions
HCI in Financial Services: Improving User Interfaces for Banking Apps
The Role of HCI in Enhancing User Trust in Technology
HCI for Public Safety: User Interfaces for Security Systems
The Application of HCI in the Film and Television Industry
HCI and the Future of Work: Designing Interfaces for Remote Collaboration
Innovations in HCI: Exploring New Interaction Technologies and Their Applications
Deep Learning Techniques for Advanced Image Segmentation
Real-Time Image Processing for Autonomous Driving Systems
Image Enhancement Algorithms for Underwater Imaging
Super-Resolution Imaging: Techniques and Applications
The Role of Image Processing in Remote Sensing and Satellite Imagery Analysis
Machine Learning Models for Medical Image Diagnosis
The Impact of AI on Photographic Restoration and Enhancement
Image Processing in Security Systems: Facial Recognition and Motion Detection
Advanced Algorithms for Image Noise Reduction
3D Image Reconstruction Techniques in Tomography
Image Processing for Agricultural Monitoring: Crop Disease Detection and Yield Prediction
Techniques for Panoramic Image Stitching
Video Image Processing: Real-Time Streaming and Data Compression
The Application of Image Processing in Printing Technology
Color Image Processing: Theory and Practical Applications
The Use of Image Processing in Biometrics Identification
Computational Photography: Image Processing Techniques in Smartphone Cameras
Image Processing for Augmented Reality: Real-time Object Overlay
The Development of Image Processing Algorithms for Traffic Control Systems
Pattern Recognition and Analysis in Forensic Imaging
Adaptive Filtering Techniques in Image Processing
Image Processing in Retail: Customer Tracking and Behavior Analysis
The Role of Image Processing in Cultural Heritage Preservation
Image Segmentation Techniques for Cancer Detection in Medical Imaging
High Dynamic Range (HDR) Imaging: Algorithms and Display Techniques
Image Classification with Deep Convolutional Neural Networks
The Evolution of Edge Detection Algorithms in Image Processing
Image Processing for Wildlife Monitoring: Species Recognition and Behavior Analysis
Application of Wavelet Transforms in Image Compression
Image Processing in Sports: Enhancing Broadcasts and Performance Analysis
Optical Character Recognition (OCR) Improvements in Document Scanning
Multi-Spectral Imaging for Environmental and Earth Studies
Image Processing for Space Exploration: Analysis of Planetary Images
Real-Time Image Processing for Event Surveillance
The Influence of Quantum Computing on Image Processing Speed and Security
Machine Vision in Manufacturing: Defect Detection and Quality Control
Image Processing in Neurology: Visualizing Brain Functions
Photogrammetry and Image Processing in Geology: 3D Terrain Mapping
Advanced Techniques in Image Watermarking for Copyright Protection
The Future of Image Processing: Integrating AI for Automated Editing
The Evolution of Enterprise Resource Planning (ERP) Systems in the Digital Age
Information Systems for Managing Distributed Workforces
The Role of Information Systems in Enhancing Supply Chain Management
Cybersecurity Measures in Information Systems
The Impact of Big Data on Decision Support Systems
Blockchain Technology for Information System Security
The Development of Sustainable IT Infrastructure in Information Systems
The Use of AI in Information Systems for Business Intelligence
Information Systems in Healthcare: Improving Patient Care and Data Management
The Influence of IoT on Information Systems Architecture
Mobile Information Systems: Development and Usability Challenges
The Role of Geographic Information Systems (GIS) in Urban Planning
Social Media Analytics: Tools and Techniques in Information Systems
Information Systems in Education: Enhancing Learning and Administration
Cloud Computing Integration into Corporate Information Systems
Information Systems Audit: Practices and Challenges
User Interface Design and User Experience in Information Systems
Privacy and Data Protection in Information Systems
The Future of Quantum Computing in Information Systems
The Role of Information Systems in Environmental Management
Implementing Effective Knowledge Management Systems
The Adoption of Virtual Reality in Information Systems
The Challenges of Implementing ERP Systems in Multinational Corporations
Information Systems for Real-Time Business Analytics
The Impact of 5G Technology on Mobile Information Systems
Ethical Issues in the Management of Information Systems
Information Systems in Retail: Enhancing Customer Experience and Management
The Role of Information Systems in Non-Profit Organizations
Development of Decision Support Systems for Strategic Planning
Information Systems in the Banking Sector: Enhancing Financial Services
Risk Management in Information Systems
The Integration of Artificial Neural Networks in Information Systems
Information Systems and Corporate Governance
Information Systems for Disaster Response and Management
The Role of Information Systems in Sports Management
Information Systems for Public Health Surveillance
The Future of Information Systems: Trends and Predictions
Information Systems in the Film and Media Industry
Business Process Reengineering through Information Systems
Implementing Customer Relationship Management (CRM) Systems in E-commerce
Emerging Trends in Artificial Intelligence and Machine Learning
The Future of Cloud Services and Technology
Cybersecurity: Current Threats and Future Defenses
The Role of Information Technology in Sustainable Energy Solutions
Internet of Things (IoT): From Smart Homes to Smart Cities
Blockchain and Its Impact on Information Technology
The Use of Big Data Analytics in Predictive Modeling
Virtual Reality (VR) and Augmented Reality (AR): The Next Frontier in IT
The Challenges of Digital Transformation in Traditional Businesses
Wearable Technology: Health Monitoring and Beyond
5G Technology: Implementation and Impacts on IT
Biometrics Technology: Uses and Privacy Concerns
The Role of IT in Global Health Initiatives
Ethical Considerations in the Development of Autonomous Systems
Data Privacy in the Age of Information Overload
The Evolution of Software Development Methodologies
Quantum Computing: The Next Revolution in IT
IT Governance: Best Practices and Standards
The Integration of AI in Customer Service Technology
IT in Manufacturing: Industrial Automation and Robotics
The Future of E-commerce: Technology and Trends
Mobile Computing: Innovations and Challenges
Information Technology in Education: Tools and Trends
IT Project Management: Approaches and Tools
The Role of IT in Media and Entertainment
The Impact of Digital Marketing Technologies on Business Strategies
IT in Logistics and Supply Chain Management
The Development and Future of Autonomous Vehicles
IT in the Insurance Sector: Enhancing Efficiency and Customer Engagement
The Role of IT in Environmental Conservation
Smart Grid Technology: IT at the Intersection of Energy Management
Telemedicine: The Impact of IT on Healthcare Delivery
IT in the Agricultural Sector: Innovations and Impact
Cyber-Physical Systems: IT in the Integration of Physical and Digital Worlds
The Influence of Social Media Platforms on IT Development
Data Centers: Evolution, Technologies, and Sustainability
IT in Public Administration: Improving Services and Transparency
The Role of IT in Sports Analytics
Information Technology in Retail: Enhancing the Shopping Experience
The Future of IT: Integrating Ethical AI Systems

Internet of Things (IoT) Thesis Topics

Enhancing IoT Security: Strategies for Safeguarding Connected Devices
IoT in Smart Cities: Infrastructure and Data Management Challenges
The Application of IoT in Precision Agriculture: Maximizing Efficiency and Yield
IoT and Healthcare: Opportunities for Remote Monitoring and Patient Care
Energy Efficiency in IoT: Techniques for Reducing Power Consumption in Devices
The Role of IoT in Supply Chain Management and Logistics
Real-Time Data Processing Using Edge Computing in IoT Networks
Privacy Concerns and Data Protection in IoT Systems
The Integration of IoT with Blockchain for Enhanced Security and Transparency
IoT in Environmental Monitoring: Systems for Air Quality and Water Safety
Predictive Maintenance in Industrial IoT: Strategies and Benefits
IoT in Retail: Enhancing Customer Experience through Smart Technology
The Development of Standard Protocols for IoT Communication
IoT in Smart Homes: Automation and Security Systems
The Role of IoT in Disaster Management: Early Warning Systems and Response Coordination
Machine Learning Techniques for IoT Data Analytics
IoT in Automotive: The Future of Connected and Autonomous Vehicles
The Impact of 5G on IoT: Enhancements in Speed and Connectivity
IoT Device Lifecycle Management: From Creation to Decommissioning
IoT in Public Safety: Applications for Emergency Response and Crime Prevention
The Ethics of IoT: Balancing Innovation with Consumer Rights
IoT and the Future of Work: Automation and Labor Market Shifts
Designing User-Friendly Interfaces for IoT Applications
IoT in the Energy Sector: Smart Grids and Renewable Energy Integration
Quantum Computing and IoT: Potential Impacts and Applications
The Role of AI in Enhancing IoT Solutions
IoT for Elderly Care: Technologies for Health and Mobility Assistance
IoT in Education: Enhancing Classroom Experiences and Learning Outcomes
Challenges in Scaling IoT Infrastructure for Global Coverage
The Economic Impact of IoT: Industry Transformations and New Business Models
IoT and Tourism: Enhancing Visitor Experiences through Connected Technologies
Data Fusion Techniques in IoT: Integrating Diverse Data Sources
IoT in Aquaculture: Monitoring and Managing Aquatic Environments
Wireless Technologies for IoT: Comparing LoRa, Zigbee, and NB-IoT
IoT and Intellectual Property: Navigating the Legal Landscape
IoT in Sports: Enhancing Training and Audience Engagement
Building Resilient IoT Systems against Cyber Attacks
IoT for Waste Management: Innovations and System Implementations
IoT in Agriculture: Drones and Sensors for Crop Monitoring
The Role of IoT in Cultural Heritage Preservation: Monitoring and Maintenance
Advanced Algorithms for Supervised and Unsupervised Learning
Machine Learning in Genomics: Predicting Disease Propensity and Treatment Outcomes
The Use of Neural Networks in Image Recognition and Analysis
Reinforcement Learning: Applications in Robotics and Autonomous Systems
The Role of Machine Learning in Natural Language Processing and Linguistic Analysis
Deep Learning for Predictive Analytics in Business and Finance
Machine Learning for Cybersecurity: Detection of Anomalies and Malware
Ethical Considerations in Machine Learning: Bias and Fairness
The Integration of Machine Learning with IoT for Smart Device Management
Transfer Learning: Techniques and Applications in New Domains
The Application of Machine Learning in Environmental Science
Machine Learning in Healthcare: Diagnosing Conditions from Medical Images
The Use of Machine Learning in Algorithmic Trading and Stock Market Analysis
Machine Learning in Social Media: Sentiment Analysis and Trend Prediction
Quantum Machine Learning: Merging Quantum Computing with AI
Feature Engineering and Selection in Machine Learning
Machine Learning for Enhancing User Experience in Mobile Applications
The Impact of Machine Learning on Digital Marketing Strategies
Machine Learning for Energy Consumption Forecasting and Optimization
The Role of Machine Learning in Enhancing Network Security Protocols
Scalability and Efficiency of Machine Learning Algorithms
Machine Learning in Drug Discovery and Pharmaceutical Research
The Application of Machine Learning in Sports Analytics
Machine Learning for Real-Time Decision-Making in Autonomous Vehicles
The Use of Machine Learning in Predicting Geographical and Meteorological Events
Machine Learning for Educational Data Mining and Learning Analytics
The Role of Machine Learning in Audio Signal Processing
Predictive Maintenance in Manufacturing Through Machine Learning
Machine Learning and Its Implications for Privacy and Surveillance
The Application of Machine Learning in Augmented Reality Systems
Deep Learning Techniques in Medical Diagnosis: Challenges and Opportunities
The Use of Machine Learning in Video Game Development
Machine Learning for Fraud Detection in Financial Services
The Role of Machine Learning in Agricultural Optimization and Management
The Impact of Machine Learning on Content Personalization and Recommendation Systems
Machine Learning in Legal Tech: Document Analysis and Case Prediction
Adaptive Learning Systems: Tailoring Education Through Machine Learning
Machine Learning in Space Exploration: Analyzing Data from Space Missions
Machine Learning for Public Sector Applications: Improving Services and Efficiency
The Future of Machine Learning: Integrating Explainable AI
Innovations in Convolutional Neural Networks for Image and Video Analysis
Recurrent Neural Networks: Applications in Sequence Prediction and Analysis
The Role of Neural Networks in Predicting Financial Market Trends
Deep Neural Networks for Enhanced Speech Recognition Systems
Neural Networks in Medical Imaging: From Detection to Diagnosis
Generative Adversarial Networks (GANs): Applications in Art and Media
The Use of Neural Networks in Autonomous Driving Technologies
Neural Networks for Real-Time Language Translation
The Application of Neural Networks in Robotics: Sensory Data and Movement Control
Neural Network Optimization Techniques: Overcoming Overfitting and Underfitting
The Integration of Neural Networks with Blockchain for Data Security
Neural Networks in Climate Modeling and Weather Forecasting
The Use of Neural Networks in Enhancing Internet of Things (IoT) Devices
Graph Neural Networks: Applications in Social Network Analysis and Beyond
The Impact of Neural Networks on Augmented Reality Experiences
Neural Networks for Anomaly Detection in Network Security
The Application of Neural Networks in Bioinformatics and Genomic Data Analysis
Capsule Neural Networks: Improving the Robustness and Interpretability of Deep Learning
The Role of Neural Networks in Consumer Behavior Analysis
Neural Networks in Energy Sector: Forecasting and Optimization
The Evolution of Neural Network Architectures for Efficient Learning
The Use of Neural Networks in Sentiment Analysis: Techniques and Challenges
Deep Reinforcement Learning: Strategies for Advanced Decision-Making Systems
Neural Networks for Precision Medicine: Tailoring Treatments to Individual Genetic Profiles
The Use of Neural Networks in Virtual Assistants: Enhancing Natural Language Understanding
The Impact of Neural Networks on Pharmaceutical Research
Neural Networks for Supply Chain Management: Prediction and Automation
The Application of Neural Networks in E-commerce: Personalization and Recommendation Systems
Neural Networks for Facial Recognition: Advances and Ethical Considerations
The Role of Neural Networks in Educational Technologies
The Use of Neural Networks in Predicting Economic Trends
Neural Networks in Sports: Analyzing Performance and Strategy
The Impact of Neural Networks on Digital Security Systems
Neural Networks for Real-Time Video Surveillance Analysis
The Integration of Neural Networks in Edge Computing Devices
Neural Networks for Industrial Automation: Improving Efficiency and Accuracy
The Future of Neural Networks: Towards More General AI Applications
Neural Networks in Art and Design: Creating New Forms of Expression
The Role of Neural Networks in Enhancing Public Health Initiatives
The Future of Neural Networks: Challenges in Scalability and Generalization
The Evolution of Programming Paradigms: Functional vs. Object-Oriented Programming
Advances in Compiler Design and Optimization Techniques
The Impact of Programming Languages on Software Security
Developing Programming Languages for Quantum Computing
Machine Learning in Automated Code Generation and Optimization
The Role of Programming in Developing Scalable Cloud Applications
The Future of Web Development: New Frameworks and Technologies
Cross-Platform Development: Best Practices in Mobile App Programming
The Influence of Programming Techniques on Big Data Analytics
Real-Time Systems Programming: Challenges and Solutions
The Integration of Programming with Blockchain Technology
Programming for IoT: Languages and Tools for Device Communication
Secure Coding Practices: Preventing Cyber Attacks through Software Design
The Role of Programming in Data Visualization and User Interface Design
Advances in Game Programming: Graphics, AI, and Network Play
The Impact of Programming on Digital Media and Content Creation
Programming Languages for Robotics: Trends and Future Directions
The Use of Artificial Intelligence in Enhancing Programming Productivity
Programming for Augmented and Virtual Reality: New Challenges and Techniques
Ethical Considerations in Programming: Bias, Fairness, and Transparency
The Future of Programming Education: Interactive and Adaptive Learning Models
Programming for Wearable Technology: Special Considerations and Challenges
The Evolution of Programming in Financial Technology
Functional Programming in Enterprise Applications
Memory Management Techniques in Programming: From Garbage Collection to Manual Control
The Role of Open Source Programming in Accelerating Innovation
The Impact of Programming on Network Security and Cryptography
Developing Accessible Software: Programming for Users with Disabilities
Programming Language Theories: New Models and Approaches
The Challenges of Legacy Code: Strategies for Modernization and Integration
Energy-Efficient Programming: Optimizing Code for Green Computing
Multithreading and Concurrency: Advanced Programming Techniques
The Impact of Programming on Computational Biology and Bioinformatics
The Role of Scripting Languages in Automating System Administration
Programming and the Future of Quantum Resistant Cryptography
Code Review and Quality Assurance: Techniques and Tools
Adaptive and Predictive Programming for Dynamic Environments
The Role of Programming in Enhancing E-commerce Technology
Programming for Cyber-Physical Systems: Bridging the Gap Between Digital and Physical
The Influence of Programming Languages on Computational Efficiency and Performance
Quantum Algorithms: Development and Applications Beyond Shor’s and Grover’s Algorithms
The Role of Quantum Computing in Solving Complex Biological Problems
Quantum Cryptography: New Paradigms for Secure Communication
Error Correction Techniques in Quantum Computing
Quantum Computing and Its Impact on Artificial Intelligence
The Integration of Classical and Quantum Computing: Hybrid Models
Quantum Machine Learning: Theoretical Foundations and Practical Applications
Quantum Computing Hardware: Advances in Qubit Technology
The Application of Quantum Computing in Financial Modeling and Risk Assessment
Quantum Networking: Establishing Secure Quantum Communication Channels
The Future of Drug Discovery: Applications of Quantum Computing
Quantum Computing in Cryptanalysis: Threats to Current Cryptography Standards
Simulation of Quantum Systems for Material Science
Quantum Computing for Optimization Problems in Logistics and Manufacturing
Theoretical Limits of Quantum Computing: Understanding Quantum Complexity
Quantum Computing and the Future of Search Algorithms
The Role of Quantum Computing in Climate Science and Environmental Modeling
Quantum Annealing vs. Universal Quantum Computing: Comparative Studies
Implementing Quantum Algorithms in Quantum Programming Languages
The Impact of Quantum Computing on Public Key Cryptography
Quantum Entanglement: Experiments and Applications in Quantum Networks
Scalability Challenges in Quantum Processors
The Ethics and Policy Implications of Quantum Computing
Quantum Computing in Space Exploration and Astrophysics
The Role of Quantum Computing in Developing Next-Generation AI Systems
Quantum Computing in the Energy Sector: Applications in Smart Grids and Nuclear Fusion
Noise and Decoherence in Quantum Computers: Overcoming Practical Challenges
Quantum Computing for Predicting Economic Market Trends
Quantum Sensors: Enhancing Precision in Measurement and Imaging
The Future of Quantum Computing Education and Workforce Development
Quantum Computing in Cybersecurity: Preparing for a Post-Quantum World
Quantum Computing and the Internet of Things: Potential Intersections
Practical Quantum Computing: From Theory to Real-World Applications
Quantum Supremacy: Milestones and Future Goals
The Role of Quantum Computing in Genetics and Genomics
Quantum Computing for Material Discovery and Design
The Challenges of Quantum Programming Languages and Environments
Quantum Computing in Art and Creative Industries
The Global Race for Quantum Computing Supremacy: Technological and Political Aspects
Quantum Computing and Its Implications for Software Engineering
Advances in Humanoid Robotics: New Developments and Challenges
Robotics in Healthcare: From Surgery to Rehabilitation
The Integration of AI in Robotics: Enhanced Autonomy and Learning Capabilities
Swarm Robotics: Coordination Strategies and Applications
The Use of Robotics in Hazardous Environments: Deep Sea and Space Exploration
Soft Robotics: Materials, Design, and Applications
Robotics in Agriculture: Automation of Farming and Harvesting Processes
The Role of Robotics in Manufacturing: Increased Efficiency and Flexibility
Ethical Considerations in the Deployment of Robots in Human Environments
Autonomous Vehicles: Technological Advances and Regulatory Challenges
Robotic Assistants for the Elderly and Disabled: Improving Quality of Life
The Use of Robotics in Education: Teaching Science, Technology, Engineering, and Math (STEM)
Robotics and Computer Vision: Enhancing Perception and Decision Making
The Impact of Robotics on Employment and the Workforce
The Development of Robotic Systems for Environmental Monitoring and Conservation
Machine Learning Techniques for Robotic Perception and Navigation
Advances in Robotic Surgery: Precision and Outcomes
Human-Robot Interaction: Building Trust and Cooperation
Robotics in Retail: Automated Warehousing and Customer Service
Energy-Efficient Robots: Design and Utilization
Robotics in Construction: Automation and Safety Improvements
The Role of Robotics in Disaster Response and Recovery Operations
The Application of Robotics in Art and Creative Industries
Robotics and the Future of Personal Transportation
Ethical AI in Robotics: Ensuring Safe and Fair Decision-Making
The Use of Robotics in Logistics: Drones and Autonomous Delivery Vehicles
Robotics in the Food Industry: From Production to Service
The Integration of IoT with Robotics for Enhanced Connectivity
Wearable Robotics: Exoskeletons for Rehabilitation and Enhanced Mobility
The Impact of Robotics on Privacy and Security
Robotic Pet Companions: Social Robots and Their Psychological Effects
Robotics for Planetary Exploration and Colonization
Underwater Robotics: Innovations in Oceanography and Marine Biology
Advances in Robotics Programming Languages and Tools
The Role of Robotics in Minimizing Human Exposure to Contaminants and Pathogens
Collaborative Robots (Cobots): Working Alongside Humans in Shared Spaces
The Use of Robotics in Entertainment and Sports
Robotics and Machine Ethics: Programming Moral Decision-Making
The Future of Military Robotics: Opportunities and Challenges
Sustainable Robotics: Reducing the Environmental Impact of Robotic Systems
Agile Methodologies: Evolution and Future Trends
DevOps Practices: Improving Software Delivery and Lifecycle Management
The Impact of Microservices Architecture on Software Development
Containerization Technologies: Docker, Kubernetes, and Beyond
Software Quality Assurance: Modern Techniques and Tools
The Role of Artificial Intelligence in Automated Software Testing
Blockchain Applications in Software Development and Security
The Integration of Continuous Integration and Continuous Deployment (CI/CD) in Software Projects
Cybersecurity in Software Engineering: Best Practices for Secure Coding
Low-Code and No-Code Development: Implications for Professional Software Development
The Future of Software Engineering Education
Software Sustainability: Developing Green Software and Reducing Carbon Footprints
The Role of Software Engineering in Healthcare: Telemedicine and Patient Data Management
Privacy by Design: Incorporating Privacy Features at the Development Stage
The Impact of Quantum Computing on Software Engineering
Software Engineering for Augmented and Virtual Reality: Challenges and Innovations
Cloud-Native Applications: Design, Development, and Deployment
Software Project Management: Agile vs. Traditional Approaches
Open Source Software: Community Engagement and Project Sustainability
The Evolution of Graphical User Interfaces in Application Development
The Challenges of Integrating IoT Devices into Software Systems
Ethical Issues in Software Engineering: Bias, Accountability, and Regulation
Software Engineering for Autonomous Vehicles: Safety and Regulatory Considerations
Big Data Analytics in Software Development: Enhancing Decision-Making Processes
The Future of Mobile App Development: Trends and Technologies
The Role of Software Engineering in Artificial Intelligence: Frameworks and Algorithms
Performance Optimization in Software Applications
Adaptive Software Development: Responding to Changing User Needs
Software Engineering in Financial Services: Compliance and Security Challenges
User Experience (UX) Design in Software Engineering
The Role of Software Engineering in Smart Cities: Infrastructure and Services
The Impact of 5G on Software Development and Deployment
Real-Time Systems in Software Engineering: Design and Implementation Challenges
Cross-Platform Development Challenges: Ensuring Consistency and Performance
Software Testing Automation: Tools and Trends
The Integration of Cyber-Physical Systems in Software Engineering
Software Engineering in the Entertainment Industry: Game Development and Beyond
The Application of Machine Learning in Predicting Software Bugs
The Role of Software Engineering in Cybersecurity Defense Strategies
Accessibility in Software Engineering: Creating Inclusive and Usable Software
Progressive Web Apps (PWAs): Advantages and Implementation Challenges
The Future of Web Accessibility: Standards and Practices
Single-Page Applications (SPAs) vs. Multi-Page Applications (MPAs): Performance and Usability
The Impact of Serverless Computing on Web Development
The Evolution of CSS for Modern Web Design
Security Best Practices in Web Development: Defending Against XSS and CSRF Attacks
The Role of Web Development in Enhancing E-commerce User Experience
The Use of Artificial Intelligence in Web Personalization and User Engagement
The Future of Web APIs: Standards, Security, and Scalability
Responsive Web Design: Techniques and Trends
JavaScript Frameworks: Vue.js, React.js, and Angular – A Comparative Analysis
Web Development for IoT: Interfaces and Connectivity Solutions
The Impact of 5G on Web Development and User Experiences
The Use of Blockchain Technology in Web Development for Enhanced Security
Web Development in the Cloud: Using AWS, Azure, and Google Cloud
Content Management Systems (CMS): Trends and Future Developments
The Application of Web Development in Virtual and Augmented Reality
The Importance of Web Performance Optimization: Tools and Techniques
Sustainable Web Design: Practices for Reducing Energy Consumption
The Role of Web Development in Digital Marketing: SEO and Social Media Integration
Headless CMS: Benefits and Challenges for Developers and Content Creators
The Future of Web Typography: Design, Accessibility, and Performance
Web Development and Data Protection: Complying with GDPR and Other Regulations
Real-Time Web Communication: Technologies like WebSockets and WebRTC
Front-End Development Tools: Efficiency and Innovation in Workflow
The Challenges of Migrating Legacy Systems to Modern Web Architectures
Microfrontends Architecture: Designing Scalable and Decoupled Web Applications
The Impact of Cryptocurrencies on Web Payment Systems
User-Centered Design in Web Development: Methods for Engaging Users
The Role of Web Development in Business Intelligence: Dashboards and Reporting Tools
Web Development for Mobile Platforms: Optimization and Best Practices
The Evolution of E-commerce Platforms: From Web to Mobile Commerce
Web Security in E-commerce: Protecting Transactions and User Data
Dynamic Web Content: Server-Side vs. Client-Side Rendering
The Future of Full Stack Development: Trends and Skills
Web Design Psychology: How Design Influences User Behavior
The Role of Web Development in the Non-Profit Sector: Fundraising and Community Engagement
The Integration of AI Chatbots in Web Development
The Use of Motion UI in Web Design: Enhancing Aesthetics and User Interaction
The Future of Web Development: Predictions and Emerging Technologies

We trust that this comprehensive list of computer science thesis topics will serve as a valuable starting point for your research endeavors. With 1000 unique and carefully selected topics distributed across 25 key areas of computer science, students are equipped to tackle complex questions and contribute meaningful advancements to the field. As you proceed to select your thesis topic, consider not only your personal interests and career goals but also the potential impact of your research. We encourage you to explore these topics thoroughly and choose one that will not only challenge you but also push the boundaries of technology and innovation.

The Range of Computer Science Thesis Topics

Computer science stands as a dynamic and ever-evolving field that continuously reshapes how we interact with the world. At its core, the discipline encompasses not just the study of algorithms and computation, but a broad spectrum of practical and theoretical knowledge areas that drive innovation in various sectors. This article aims to explore the rich landscape of computer science thesis topics, offering students and researchers a glimpse into the potential areas of study that not only challenge the intellect but also contribute significantly to technological progress. As we delve into the current issues, recent trends, and future directions of computer science, it becomes evident that the possibilities for research are both vast and diverse. Whether you are intrigued by the complexities of artificial intelligence, the robust architecture of networks and systems, or the innovative approaches in cybersecurity, computer science offers a fertile ground for developing thesis topics that are as impactful as they are intellectually stimulating.

Current Issues in Computer Science

One of the prominent current issues in computer science revolves around data security and privacy. As digital transformation accelerates across industries, the massive influx of data generated poses significant challenges in terms of its protection and ethical use. Cybersecurity threats have become more sophisticated, with data breaches and cyber-attacks causing major concerns for organizations worldwide. This ongoing battle demands continuous improvements in security protocols and the development of robust cybersecurity measures. Computer science thesis topics in this area can explore new cryptographic methods, intrusion detection systems, and secure communication protocols to fortify digital defenses. Research could also delve into the ethical implications of data collection and use, proposing frameworks that ensure privacy while still leveraging data for innovation.

Another critical issue facing the field of computer science is the ethical development and deployment of artificial intelligence (AI) systems. As AI technologies become more integrated into daily life and critical infrastructure, concerns about bias, fairness, and accountability in AI systems have intensified. Thesis topics could focus on developing algorithms that address these ethical concerns, including techniques for reducing bias in machine learning models and methods for increasing transparency and explainability in AI decisions. This research is crucial for ensuring that AI technologies promote fairness and do not perpetuate or exacerbate existing societal inequalities.

Furthermore, the rapid pace of technological change presents a challenge in terms of sustainability and environmental impact. The energy consumption of large data centers, the carbon footprint of producing and disposing of electronic waste, and the broader effects of high-tech innovations on the environment are significant concerns within computer science. Thesis research in this domain could focus on creating more energy-efficient computing methods, developing algorithms that reduce power consumption, or innovating recycling technologies that address the issue of e-waste. This research not only contributes to the field of computer science but also plays a crucial role in ensuring that technological advancement does not come at an unsustainable cost to the environment.

These current issues highlight the dynamic nature of computer science and its direct impact on society. Addressing these challenges through focused research and innovative thesis topics not only advances the field but also contributes to resolving some of the most pressing problems facing our global community today.

Recent Trends in Computer Science

In recent years, computer science has witnessed significant advancements in the integration of artificial intelligence (AI) and machine learning (ML) across various sectors, marking one of the most exciting trends in the field. These technologies are not just reshaping traditional industries but are also at the forefront of driving innovations in areas like healthcare, finance, and autonomous systems. Thesis topics within this trend could explore the development of advanced ML algorithms that enhance predictive analytics, improve automated decision-making, or refine natural language processing capabilities. Additionally, AI’s role in ethical decision-making and its societal impacts offers a rich vein of inquiry for research, focusing on mitigating biases and ensuring that AI systems operate transparently and justly.

Another prominent trend in computer science is the rapid growth of blockchain technology beyond its initial application in cryptocurrencies. Blockchain is proving its potential in creating more secure, decentralized, and transparent networks for a variety of applications, from enhancing supply chain logistics to revolutionizing digital identity verification processes. Computer science thesis topics could investigate novel uses of blockchain for ensuring data integrity in digital transactions, enhancing cybersecurity measures, or even developing new frameworks for blockchain integration into existing technological infrastructures. The exploration of blockchain’s scalability, speed, and energy consumption also presents critical research opportunities that are timely and relevant.

Furthermore, the expansion of the Internet of Things (IoT) continues to be a significant trend, with more devices becoming connected every day, leading to increasingly smart environments. This proliferation poses unique challenges and opportunities for computer science research, particularly in terms of scalability, security, and new data management strategies. Thesis topics might focus on optimizing network protocols to handle the massive influx of data from IoT devices, developing solutions to safeguard against IoT-specific security vulnerabilities, or innovative applications of IoT in urban planning, smart homes, or healthcare. Research in this area is crucial for advancing the efficiency and functionality of IoT systems and for ensuring they can be safely and effectively integrated into modern life.

These recent trends underscore the vibrant and ever-evolving nature of computer science, reflecting its capacity to influence and transform an array of sectors through technological innovation. The continual emergence of new research topics within these trends not only enriches the academic discipline but also provides substantial benefits to society by addressing practical challenges and enhancing the capabilities of technology in everyday life.

Future Directions in Computer Science

As we look toward the future, one of the most anticipated areas in computer science is the advancement of quantum computing. This emerging technology promises to revolutionize problem-solving in fields that require immense computational power, such as cryptography, drug discovery, and complex system modeling. Quantum computing has the potential to process tasks at speeds unachievable by classical computers, offering breakthroughs in materials science and encryption methods. Computer science thesis topics might explore the theoretical underpinnings of quantum algorithms, the development of quantum-resistant cryptographic systems, or practical applications of quantum computing in industry-specific scenarios. Research in this area not only contributes to the foundational knowledge of quantum mechanics but also paves the way for its integration into mainstream computing, marking a significant leap forward in computational capabilities.

Another promising direction in computer science is the advancement of autonomous systems, particularly in robotics and vehicle automation. The future of autonomous technologies hinges on improving their safety, reliability, and decision-making processes under uncertain conditions. Thesis topics could focus on the enhancement of machine perception through computer vision and sensor fusion, the development of more sophisticated AI-driven decision frameworks, or ethical considerations in the deployment of autonomous systems. As these technologies become increasingly prevalent, research will play a crucial role in addressing the societal and technical challenges they present, ensuring their beneficial integration into daily life and industry operations.

Additionally, the ongoing expansion of artificial intelligence applications poses significant future directions for research, especially in the realm of AI ethics and policy. As AI systems become more capable and widespread, their impact on privacy, employment, and societal norms continues to grow. Future thesis topics might delve into the development of guidelines and frameworks for responsible AI, studies on the impact of AI on workforce dynamics, or innovations in transparent and fair AI systems. This research is vital for guiding the ethical evolution of AI technologies, ensuring they enhance societal well-being without diminishing human dignity or autonomy.

These future directions in computer science not only highlight the field’s potential for substantial technological advancements but also underscore the importance of thoughtful consideration of their broader implications. By exploring these areas in depth, computer science research can lead the way in not just technological innovation, but also in shaping a future where technology and ethics coexist harmoniously for the betterment of society.

In conclusion, the field of computer science is not only foundational to the technological advancements that characterize the modern age but also crucial in solving some of the most pressing challenges of our time. The potential thesis topics discussed in this article reflect a mere fraction of the opportunities that lie in the realms of theory, application, and innovation within this expansive field. As emerging technologies such as quantum computing, artificial intelligence, and blockchain continue to evolve, they open new avenues for research that could potentially redefine existing paradigms. For students embarking on their thesis journey, it is essential to choose a topic that not only aligns with their academic passions but also contributes to the ongoing expansion of computer science knowledge. By pushing the boundaries of what is known and exploring uncharted territories, students can leave a lasting impact on the field and pave the way for future technological breakthroughs. As we look forward, it’s clear that computer science will continue to be a key driver of change, making it an exciting and rewarding area for academic and professional growth.

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150 Best Research Paper Topics For Software Engineering

Software Engineering is a branch which deals with the creation and improvement of software applications using specific methodologies and clearly defined scientific principles. When developing software products, certain procedures must be followed, the outcome of which is a reliable and reliable software product. Software is a collection of executable code for programs with associated libraries. Software that is designed to meet certain requirements is referred to as a Software Product . This is an excellent subject for a master's thesis, research, or project. There are a variety of topics within Software Engineering which will be useful to M.Tech and other students studying for their masters to write their software thesis.

What is the reason Software Engineering is required?

Software Engineering is necessary due to the frequent shifts in the requirements of users as well as the environment. Through yourch and thesis, you will learn more about the significance of Software Engineering. Here are some other areas in software engineering that are needed:

Big Software: The massive dimension of software makes it necessary for the requirements in software engineering .
Scalability The concept of scaling Software Engineering makes it possible to increase the size of existing software rather than develop brand-new software.
Cost Price Software Engineering also cuts down the manufacturing cost that is incurred during software development.
The dynamic nature of Software - Software Engineering is a crucial factor when the need for new features is to be made in software in place, in the event that the nature of software is fluid.
Better Quality Management - Software Engineering can provide more efficient software development processes to provide superior-high-quality services .

Best Research Paper Topics on Software

Software Engineering Management Unified Software Development Process and Extreme ProgrammingThere are a lot of difficulties with managing the development of software for web-based applications and projects for systems integration that were completed in recent times.
The Blue Sky Software Consulting Company Analysis
Blue Sky Software Consulting Blue Sky Software Consulting company has seen great success over 15 years. The company is not as well-equipped for the current market.
LabVIEW Software: Design Systems of Measurement
LabVIEW is a software program that was created to design systems for measurement. LabVIEW gives you a range of instruments to control the process in an experiment.
Software-producing Firm Reducing Inventory
The link between the reduction in inventory levels and the number of orders is evident. An organization that produces software may think of increasing the amount of software to a lower level.
Moet Hennessy - Louis Vuitton: Enterprise Software
The report will demonstrate how the introduction of ERP will help LVHM Group improve its results by improving its inventories, logistics and accounting.
Virtualization and Software-Defined Networking
The goal of this paper is to analyze the developments in the field of virtualization, software-defined networks and security for networks in the last three years.
Computer Hardware and Software Components
Computers that were developed at the time of the 40s of 1940 have evolved into complex machines that require software and hardware for their operation.
Applications, Software and System Development
The usage the Microsoft Office applications greatly enhance productivity in the classroom as well as at work and during everyday activities at home.
PeopleSoft Inc.'s Software Architecture and Design
With the PIA architecture, any company with an ERP application can access all of its operations through a Web browser.
Co-operative Banking Group's Enterprise Software
The report demonstrates how the implementation of the ERP system within the Co-operative Banking Group will help in improving the company's accounting, inventory and accounting practices as well as logistics processes.
Software Testing: Manual and Automated Web-Application Testing Tools
This research is an empirical study of automated and manual web-based application testing tools to determine the best tool for testing software.
JDA Software Company's Services
JDA Software is a company that has proven its worth in the development of services in areas like manufacturing, wholesale distribution, retailing and travel.
Data Management, Networking and Enterprise Software
Enterprise software is typically developed "in-house" and thus has an inflated cost when contrasted to purchasing the software from another firm.
Software Workshops and Seminars Reflections
Most seminars inspire participants to use their potential as they strive to attain their goals.
The Various Enterprise Resource Planning Software Packages
This paper's purpose is to provide an overview of the various Enterprise Resource Planning (ERP) software applications that are widely employed by companies to manage their business operations.
Explore Factors in IBM SPSS Statistical Software
The "Explore" or "Explore" command in IBM SPSS generates an output with a variety of stats for a single variable, across the entire sample or in sections of the sample.
Split Variables in IBM SPSS Statistical Software
It is the IBM SPSS software provides an option to split files into groups. The members of cases within groups can be determined by the values of split variables in this particular instance.
Syntax Code Writing in Statistical Software
The process of analyzing quantitative data by using IBM SPSS software package IBM SPSS software package often involves performing a variety of operations to calculate the statistical data for the information.
Data Coding in Statistical Software
Data coding is of utmost importance when a proper analysis of this data has to be conducted. Data coding plays an important function when you need to make use of statistical software.
Software Piracy at Kaspersky Cybersecurity Company
Software piracy is a pressing current issue that is manifested both locally with respect to an individual company and also globally.
Hotjar: Web Analytics Software Difference
This report examines Hotjar, which is a web-based analytics tool that comes with a full set of tools to evaluate. This paper examines its strengths and advantages, as well showing how it can aid in the management of decision-making.
Avast Software: Company Analysis
Avast Software is a globally well-known multinational company that is an industry leader in providing security solutions for both business and individual customers.
Project Failure, Project Planning Fundamentals, and Software Tools and Techniques for Alternative Scheduling
From lack of communication to generally unfavourable working conditions, Projects may fail when managers fail to prepare for their implementation.
Computer Elements such as Hardware and Software
Personal computers are usually different from computers used for business in terms of capabilities and the extent of technology used within the equipment.
Review of a New Framework for Software Reliability Measurement
This study draws upon the in-depth study of the software reliability measurement methods and the suggestion of a fresh foundation for reliability measurement built on the software metrics studied in the work of Amar as well as Rabai.

Good Software Research Topics & Essay Examples

Task Management Software in Organization
The goal of the plan for managing projects is to present the process of creating task management software that can be integrated into the context of the company.
A task management software plan's risk management strategy
The present study introduces us to the techniques for risk identification as well as quality assurance and a control plan and explains their significance.
Computer Software Development and Reality Shows
The growth of software in computers has been at such a fast rate over the last 10 years that it has impacted all aspects of our lives and every fibre of our being.
Scrum - Software Development Process
Digital systems and computerized systems have brought life to many areas. Scrum is a process for software development that guarantees high quality and efficiency.
Distribution of Anti-Virus Software
Numerous new threats are reported every fortnight. Cyberattacks, viruses, and other cyber-related threats are becoming an issue.
Marketing Plan: Innovative Type of Software Product
This paper will create an advertisement plan for the new kind of software, which will help to define the segment of clients and the price and communications platform.
Marketing System of Sakhr Software Co
The principal objective of this paper is to examine the marketing process in the same type of organization, like Sakhr Software Co.
Managing Information of Sakhr Software Co
This paper will examine the ideas of managing information for Sakhr Software, which is a well-known language software firm.
CRM Software in Amazon: Gains
The software for managing customers that Amazon.com developed is, from the beginning, one of the latest technology.
Neurofeedback Software and Technology Comparison
MIDI technology helps make the making of, learning or playing more enjoyable. Mobile phones and computer keyboards for music, computers etc., utilize MIDI.
PeopleSoft Software and HR.net Enterprise Software
With the help of HRIS software, HR employees are able to manage their own benefits updates and make changes, allowing them to take more time to focus on other important tasks.
Business Applications: Revelation HelpDesk by Yellow Fish Software
"Revelation HelpDesk" is an online Tracking and Support Software that facilitates seamless coordination to occur between the most important divisions within an organization.
3D signal editing methods and editing software for stereoscopic movies
3D editing for movies is one of the newest trends and is among the most complex processes in the modern film industry.
ERP Software in Inventory Management
Management of inventory ERP applications will be useful when a business has to manage the manner in which it gets goods and cleans up the merchandise.
The Capabilities of Compiere Software and How Well It Fits Into Different Industries
It is the ERP software Compiere can be used by a wide variety of users, including governments, businesses as well as non-governmental organizations (NGOs).
Software Tools for Qualitative Research
This paper reviews software tools to solve complicated tasks in the analysis of data. The paper compares NVivo, HyperRESEARCH, and Dedoose.
Data Scientist and Software Development
Data scientists convert data into insights, giving elaborate guidance to those who use the data to make educated decisions and take action.
IPR Violations in Software Development
The copyright law protects only the declaration but not the software concept. It prohibits copying code from the source without asking permission.
Health IT: Epic Software Analysis
Implementation and adoption of Health IT systems are crucial to improve the efficiency of medical practices, efficiency of workflow as well as patient outcomes.
Agile Software Development Process
The agile process for software development offers numerous benefits, such as the speedy and continuous execution of your project.
Project Management Software and Tools Comparison
The software is used by managers to ensure that there isn't any worker who is receiving more work than others and also to ensure that no worker is falling behind in their job.
Visually impaired people: challenges in Assistive Technology Software
Blind people suffer from a number of disadvantages each day while using digital technology. The various types of software and software discussed in this paper have been specifically designed to help improve the lives of blind people.
WBS completion and software project management
The PERT's results resulted in the development of The Gantt chart. This essay provides an account of the method of working with the Gantt chart.
International Software Development's Ethical Challenges: User-Useful Software
The importance of ethics is when it comes to software development. It helps the creator to create software that will be useful for the user as well as the management.
Achieving the Optimal Process. Software Development
The industry of software development is growing rapidly as the requirements of users change. This requires applications to meet these needs.

Innovative Software to Blog About

System Software: Analysis of Various Types of System Software
The paper provides opinions on the various system softwares using their strengths and weaknesses from the personal experiences of the creator.
Sakhr Software Co.'s Marketing System
The principal goal of this paper is to study the uniqueness of the system of marketing in such an organization as Sakhr Software Co from Kuwait, which specializes in NLP.
Program Code in Assembly Language Using Easy68K Software
A typical scenario is described in the report to write program code in assembly language with Easy68K software. The appropriate tests were carried out with success and outputs.
Benefits and Drawbacks of Agile Software Development Techniques
The use of agile methodologies in the software development process contributes to the improvement of work as well as the effectiveness of performance.
The use of agile methodologies in the development of software contributes to the efficiency of work and efficiency of performance.
Large Scale Software Development
This report gives information on this Resource Scheduling project. It can be useful to an advisory firm that offers various types of resources.
Penguin Sleuth, a Forensic Software Tool
The primary goal of this paper is to examine the various tools for forensic analysis and also provide a comprehensive overview of the functions available for each tool or tool pack.
System Software: Computer System Management
Computer software comprises precise preprogrammed instructions that regulate and coordinate hardware components of the computer.
Ethical Issues Involved in Software Project Management
Ethics within IT have been proven to be very different from other areas of ethics. Ethics issues in IT are usually described as having little.
Advantages and Disadvantages of Software Suites
Computer software comprises specific preprogrammed commands that control and coordinate computer hardware components of an info system.
Descriptive Statistics Using SPSS Software Suite
This paper focuses on the process of producing the descriptive statistical analysis by using SPSS. The purpose of this article is to make use of SPSS to perform an analysis of descriptive data.
Software Development: Creating a Prototype
The aim of this article is to develop an experimental software program that can be utilized to aid breast cancer patients.
Software Engineering and Methodologies
The paper explains how the author learned the software engineering process and methods as an outcome of his experiences at BTR IT Consulting Company.
Information System Hardware and Software
Information technology covers a wide variety of applications in which computer software, along with hardware, is employed.
Software Development Project Using Agile Methods
The report will provide reasons behind why the agile methodology was chosen, the method used, how the team applied this methodology, and also the lessons learned from the massive project of software development.
Flight Planning Software and Aircraft Incidents
Software for flight planning refers to programs utilized to control and manage flights and other procedures while the plane is in flight.
Hardware and Software Systems and Criminal Justice
One of the primary techniques used to decrease the chance of criminal activity is crime mapping. This involves collecting information on crimes and their causes and then analyzing it in order to identify issues.
Why Open-Source Software Will (Or Will Not) Soon Dominate the Field of Database Management Tools
The research aims to determine whether open-source software will rule the field of the database since there is an evolution in the market for business.
Business HRM Software and the Affordable Care Act
The Affordable Care Act has its strengths but also flaws. The reason is the complex nature of the law that creates a variety of challenges.
Antivirus Software Ensuring Security Online
Although it's not perfect and fragmentary, it can be seen as a supplement and not the sole instrument; antivirus software will help protect one's privacy online.
Evaluating Teaching Instructional Software for 21st-Century Technology Resources
The software for teaching Joe Rock and Friends Book 2 is designed for third-grade students who are studying English as an additional language to read and learn new vocabulary.
Britam Insurance Company's Sales and Marketing Management Software
Britam Insurance Company needs to implement the latest marketing and management software in order to keep its place at the forefront of the extremely competitive insurance market.
Software Programs: Adobe Illustrator
With Adobe Illustrator, users can quickly and precisely create various products, like logos, icons as well as drawings.
Strawberry Business: Software Project Management
Although the company has an established management strategy as well as a team of employees and efficient information systems, it lacks a standardized workplace culture and customer relations systems.
Value of Salesforce Software Using VRIO Model
Salesforce CRM software is created to help managers manage their businesses effectively. It connects all teams and managers and collects and manages customer information.
Agile software development, as well as popular variations like Scrum, are the foundation for the work of a variety of testers and developers. No matter what team or method you're currently using, you can get expert guidance on process structure and the skills required to use Lean, Agile, DevOps, Waterfall and more to help you implement it for your business.

Most Interesting Software Research Titles

What Are the Essential Attributes of Good Software?
How Computer Software Can Be Used as a Tool for Education
Accounting Software and Application Software
Online National Polling Software Requirements Specification
Building Their Software for a Company's Success
The Role of Antivirus Software in Protecting Your Computer Data
Intellectual Property Rights, Innovation and Software Technologies
Software Piracy and the Canadian Piracy Act
For the development of software projects, agile methodologies and their Waterscrumfall derivative are used.
Software Tools for Improving Underground Mine Access Layouts
How Software Can Support Academic Librarians' Changing Role
Using the Untangle Software to Overcome Obstacles for Small Businesses
By employing travel portal software, online booking sales will increase.
Analysis of Network Externality and Commercial Software Piracy
Accounting Software and Business Solutions
Analysis of Key Issues and Effects Relating to International Software Piracy
The Distinction Between Computer Science and Software Engineering
Modulation: Computer Software and Unknown Music Virus
Math Software for High School Students with Disabilities
Keyboarding Software Packages: Analysis and Purchase Recommended
Basic Software Development Life Cycle
India's Problems with Software Patents, Copyright, and Piracy
Why Has India Been Able to Build a Thriving Software Industry
Does Social Software Increase Labour Productivity
The Role of Open Source Software for Database Servers

Simple Software Essay Ideas

Human Capital and the Indian Software Industry
Input-Output Computer Windows Software
Business Software Development and Its Implementation
Evaluating Financial Management Software: Quicken Software
Which governance tools are important in Africa for combating software piracy?
Distinguish Between Proprietary Software and Off-The-Shelf
Does Social Software Support Service Innovation
Ambulatory Revenue Management Software
Difference Between Operating Systems and Application Software
Leading a Global Insurgency in the Software Sector are China and India
Call Accounting Software for Every Enterprise
Technology Standards for Software Outsourcing
The Importance of the Agile Approach for Software Development
Application Software: Publisher, Word, and Excel
Employee Monitoring Through Computer Software
Software Development Lifecycle and Testing's Importance
Tools for Global Conditional Policy to Combat Software Piracy
Software for Designing Solar Water Heating Systems
Open Source Software, Competition, and Potential Entry
Indian Software Industry: Gains are distorted and consolidated
Software Programs for Disabled Computer Users and Assistive Technology
Agile Software Architecture, Written by Christine Miyachi
Software Development: The Disadvantages of Agile Methods
Computer Software Technology for Early Childhood
Developing Test Automation Software Development

Easy Software Essay Topics

Growth Trends, Barriers, and Government Initiatives in the Indian Software Industry
How Does Enterprise Software Enable a Business to Use
Integrated Management Software the Processing of Information
Computer Software Training for Doctor's Office
Software Intellectual Property Rights and Venture Capitalist Access
Computer Science Software Specification
Software Projects and Student Software Risk Exposure
Why It Is Difficult to Create Software for Wireless Devices
Affiliate Tracking Software Your Payment Options
How Can Volkswagen Recover From the Cheating Issues It Had Because Illegal Software Was Installed?
Principles of Best Forensic Software Tool
The American Software Industry: A Historical Analysis
How Peripheral Developers Contribute to the Development of Open-Source Software
Agile Methodologies for Software Development
Key Macroeconomic Factors That Affect Software Industry
The Software Industry and India's Economic Development
Improving Customer Service Through Help Desk Software
Enterprise Resource Planning and Sap Software
Antivirus Software and Its Importance
Hardware and Software Used in Public Bank
The Effects of Computer Software Piracy on the Global Economy
Using the Winqsb Software in Critical Path Analysis
General Information About Interactive Multimedia-Based Educational Software
How Affiliate Tracking Software Can Benefit You
Computer Software and Recent Technologies

Frequently asked questions

What are the main topics of software engineering .

software development.

Introduction
Models and architecture for software development
Project management for software (SPM)
Software prerequisites
Testing and debugging software

What makes good research in software engineering ?

The most typical research strategy in software engineering is coming up with a novel method or methodology, validating it through analysis, or demonstrating its application through a case study;

What projects are good for software engineering ?

monitoring of Android tasks.
Analyzing attitudes to rate products
ATM with a fingerprint-based method.
a modern system for managing employees.
Using the AES technique for image encryption.
vote-by-fingerprint technology.
system for predicting the weather

What are the research methods in software engineering ?

We list and contrast the five categories of research methodology that, in our opinion, are most pertinent to software engineering: controlled experiments (including quasi-experiments); case studies (both exploratory and confirmatory); survey research; ethnographies; action research; and controlled experiments.

Is software engineering a research area ?

A relatively recent area of research, software engineering is derived from computer science. Its significance has been generally acknowledged by more and more academics in the field of computers throughout the course of six decades, from 1948 to the present, and it has developed into a vibrant and promising division of the computing profession.

Is software engineering easy ?

Yes, learning software engineering can be challenging at first, especially for those without programming or coding experience or any background in technology. However, numerous courses, tools, and other resources are available to assist with learning how to become a software engineer.

Who is the father of software engineering ?

The "father of software quality," Watts S. Humphrey, was an American software engineering pioneer who lived in Battle Creek, Michigan (U.S.) from July 4, 1927, to October 28, 2010.

What do you do in software engineering ?

roles and tasks for software engineers
creating and keeping up software systems.
testing and evaluating new software applications.
software speed and scalability optimization.
code creation and testing.
consulting with stakeholders such as clients, engineers, security experts, and others.

Which is better it or software engineering ?

IT support engineers cannot build sophisticated solutions, while software engineers can. In a word, they are in charge of creating and putting into use software. Knowing the distinctions makes it easier to choose the right individual to handle our tech-related problems.

Are junior software engineers in demand ?

Yes, there is a need for young coders.

Is software engineering going down ?

Software experts and software goods are oversaturating the job market for software engineers.

What degree do I need to be a software engineer ?

undergraduate degree

Can I be a software engineer without a degree ?

Many software developers lack a degree from a reputable university (or, in some circumstances, none at all).

How many years can a software engineer work ?

An engineer who wants to work in IT has a 15–20 year window.

How many hours do software engineers work ?

Software developers put in 8 to 9 hours each day, or 40 to 45 hours per week.

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Introduction

Software Engineering is a branch that deals with the development and evolution of software products by employing certain methodologies and well-defined scientific principles. For developing a software product certain processes need to be followed and outcome of which is an efficient and authentic software product. The software is a group of executable program code with associated libraries. Software designed to satisfy a specific need is known as Software Product. It is a very good topic for master’s thesis, project, and research. There are various topics in Software Engineering which will be helpful for M.Tech and other masters students write their software project thesis.

Latest thesis topics in software engineering for research scholars:

Fault detection in software using biological techniques
Enhancement in MOOD metrics for software maintainability and reliability
To enhance effort estimation using Function point analysis in Cocomo model
To evaluate and improve model based mutation technique to detect test cases error in product line testing
To propose improvement in genetic algorithm to calculate function dependency in test case prioritization in regression testing
To propose dynamic technique with static metrics to check coupling between software modules
To propose improvement TYPE 4 clone detection in clone testing

Find the link at the end to download the latest thesis and research topics in software engineering

Software Evolution

Software Evolution is the process of developing software product using underlying techniques and methodologies. It consists of all the steps right from the initial requirements up to its maintenance. In the initial stage, software requirements are gathered. After this, a prototype of the actual software product is created which is shown to the end users for feedback. Users give their suggestions regarding the product and suggest changes if required. This process is repeated until the time desired software product is developed. There are certain Software Evolution laws according to which software is divided into following three types:

S-Type (static-type) – This type of software works according to specifications and solutions. It is the simplest of all the three types of software.
P-Type (practical-type) – This software is a collection of procedures. Gaming software is an example of this type of software.
E-Type (embedded-type) – This software works according to the real-world requirements. It has a high degree of evolution.

The methods and steps taken to design a software product are referred to as software paradigms .

Why is Software Engineering required?

Software Engineering is required due to frequent changes in user requirements and the environment. Through your thesis and research work, you can get to know more about the importance of Software Engineering. Following are the other things for which software engineering is required:

Large Software – The large size of software make it essential for the requirement of software engineering.
Scalability – Software Engineering makes it possible to scale the existing software rather than creating a new software.
Cost – Software Engineering also cut down the excess manufacturing cost in software development.
Dynamic Nature of Software – Software Engineering plays an important role if new enhancements are to be done in the existing software provided that the nature of software is dynamic.
Better Quality Management – Software Engineering provides better software development processes for better quality services.

Software Development Lifecycle (SDLC)

SDLC is a sequence of steps and stages in Software Engineering for the development of Software product. It is an important topic for project and thesis in software engineering. Following are the phases of SDLC:

Requirement Gathering and Analysis – It is the initial stage of software development in which the requirements for the software product to be made is collected. In this phase, the engineering team studies existing systems, take the opinion of stakeholders, and conduct user interviews. The types of requirements include user requirements, functional requirements and non-functional requirements. After the requirements are collected, these are examined and analyzed for validation i.e. whether these requirements can be incorporated into the system or not.
Feasibility Study – After requirement gathering, the next step is the feasibility study i.e. to check whether the desired software system can be made or not. The software development team comes up with an outline of the whole process and discusses whether the system will be able to meet the user requirements or not. In this phase, all the aspects like financial, practical, and technical are considered. If these aspects are found to be feasible only then the further processes are taken up.
Software Design – After confirming the feasibility of the software system, the designing of the software product is done. The designing of the software is done based on the requirements collected in the initial stage. An outline of the whole process is created in this phase which will define the overall system architecture. There are two types of designs – physical design and logical design.
Coding – This phase is also known as implementation phase as the actual implementation of the software system takes place here. An executable programming code is written in any suitable programming language for implementation. The work is divided into different modules and coding is done in each of these modules. This process is undertaken by a developer expert in programming.
Testing – Testing phase follows the coding phase in which testing of the code is done to check whether the system meets the user requirements or not. The types of testing include unit testing, system testing, integration testing and acceptance testing. Testing is required to find out any underlying errors and bugs in the product. Testing helps in creating a reliable software product.
Deployment – After successful testing, the software product is delivered to the end users. Customers perform Beta Testing to find out if there are changes required in the system or not. If changes are needed, then they can suggest them to the engineering team.
Maintenance – A special team is appointed to look after the maintenance of the software product. This team will provide timely software updates and give notifications based on that. The code is updated in accordance with the changes taking place in the real world environment.

Software Development Process Models

There are certain software development models as defined by Software Paradigms. Some of these are explained below:

Waterfall Model

It is a simple model for software development which defines that all the phases of SDLC take place in a linear manner. Simple meaning that if one phase is finished then only the next phase is started. According to this model, all the phases are executed in sequence with the planning of next phase in the previous phase. Also, this model will not function properly if there are certain issues left in the previous phase.

Iterative Model

It is another model for software development in which the whole process takes place in iterations. Iteration simply means repeating steps after a cycle is over. On the first iteration, the software is developed on a small scale and then the subsequent steps are followed. During the next iteration, more features and modules are added. On completion of each iteration cycle, software is produced which have their own features and capabilities. The management team works on the risk management and prepare for next iteration.

Spiral Model

Spiral Model is a combination of iterative model and any one of the other SDLC model. The most important feature of this model is the consideration of risk factor which left unnoticed by other models. Initially, the objectives and constraints of the software product are determined. During next iteration, the prototype of the software is created. This process also includes risk analysis. In the fourth phase, next iteration is prepared.

In the waterfall model, we can go to next step only if the previous step is completed. Also, we cannot go back to the previous stage if some change is required. This drawback of waterfall model is fulfilled by the V-Shaped Model which provides testing of each phase in a reverse manner. In this model, test plans and test cases are created according to the requirements of that stage to verify and validate the software product. Thus verification and validation go in parallel in this case.

Software Metrics and Measures

Software Metrics and Measures are essential components in Software Engineering to understand the attributes and aspects of a software. These also help in maintaining the better quality of the software products. Following are some of the Software Metrics:

Size Metrics – It is measured in terms of Lines of Code (LOC) and Function Point Code. Lines of Code mean the number of lines of the programming code whereas Function Point Code is the Functional capacity of the software.
Complexity Metrics – It is measured in terms of number of independent paths in a program.
Quality Metrics – It is determined by the number of defects encountered while developing the software and after the product is delivered.
Process Metrics – Methods, tools, and standards used in software development come under process metrics.
Resource Metrics – It includes effort, time and resources used in development process.

Modularization in Software Engineering

Modularization is a technique in Software Engineering in which software system is divided into multiple modules and each module carries out its individual task independently. Modularization is more or less based on ‘Divide and Conquer’ approach. Each module is compiled and executed separately.

Advantages of Modularization are:

Smaller modules are easier to process.
Modularization offers a level of abstraction to the program.
High Cohesion components can be used again.
Concurrent execution is also possible.
It is also more secure.

Software Testing

It is the process of verifying and validating the software product to check whether it meets the user requirements or not as expected. Moreover, it also detects underlying defects, errors, and bugs that left unnoticed during the process of software development. As a whole, software testing detects software failures. Software Testing itself is a sub-field in software engineering and a trending topic for project, thesis, and research in software engineering.

Purpose of Software Testing

Following are the main purposes of software testing:

Verification – Verification is a process to find out whether the developed software product meets the business requirements or not. Verification ensures that whether the product being created satisfies the design specifications or not.
Validation – Validation is the process that examines whether or not the system meets the user requirements. The validation process is carried out at the end of SDLC.
Defect Finding – Defect finding simply means the difference between the actual output and the expected output. Software Testing tends to find this defect in the software product.

Types of Testing

Following are the main types of testing in software systems:

Alpha Testing – It is the most common type of testing carried out by a developer team at the developer end. It is conducted before the product is released.
Beta Testing – It is a type of software testing carried out by end users at the user end. This type of testing is performed in a real-world environment.
Acceptance Testing – It is a type of testing to find out whether the software system meets the user requirements or not.
Unit Testing – It is a type of testing in which an individual unit of the software product is tested.
Integration Testing – In this, two or more modules are combined and tested together as a group.
System Testing – Here all the individual modules are combined and then tested as a single group.

UML and Software Engineering

UML or Unified Modeling Language is language in software engineering for visualizing and documenting the components of a software system and is created by Object Management Group (OMG). It is different from programming languages. UML implements object-oriented concepts for analysis and design.

Building Blocks of UML

Following are the three main building blocks of UML:

Relationships

Things can be any one of the following:

Structural – Static Components of a system

Behavioral – Dynamic Components of a system

Grouping – Group elements of a UML model like package

Annotational – Comments of a UML model

The relationship describes how individual elements are associated with each other in a system. Following kinds of relationships are there:

Association
Generalization
Realization

The output of the entire process is UML diagrams. Following are the main UML diagrams:

Class Diagram
Object Diagram
Use Case Diagram
Sequence Diagram
Collaboration Diagram
Activity Diagram
Statechart Diagram
Deployment Diagram
Component Diagram

Software Maintenance

After the Software product is successfully launched in the market, timely updations and modifications needed to be done. This all comes under Software Maintenance. It includes all those measures taken after the delivery to correct errors and to enhance the performance. Software Maintenance does not merely means fixing defects but also providing time to time updations.

Types of Software Maintenance

The types of Software Maintenance depends upon the size and nature of the software product. Following are the main types of software maintenance:

Corrective Maintenance – Fixing and correcting a problem identified by the user comes under corrective maintenance.
Adaptive Maintenance – In adaptive maintenance, the software is kept up-to-date to meet the ever-changing environment and technology.
Perfective Maintenance – To keep the software durable, perfective maintenance is done. This includes the addition of new features and new user requirements.
Preventive Maintenance – To prevent any future problems in the software, preventive maintenance is done so that there are not any serious issues in near future.

Activities in Software Maintenance

Following activities are performed in Software Maintenance as given by IEEE:

Identification and Tracing
Implementation
System Testing
Acceptance Testing
Maintenance Management

Reverse Engineering

Reverse Engineering is a process in which an existing system is thoroughly analyzed to extract some information from that system and reproduce that system or product using that extracted information. The whole process is a reverse SDLC. Reverse Engineering for software is done to extract the source code of the program which can be implemented in a new software product.

Case Tools for Software Engineering

Case or Computer-aided Software Engineering are computer-based automated tools for development and maintenance of software products. Just as the CAD (Computer-aided design) is used for designing of hardware products, Case is used for designing of software products. Case tools develop high-quality and easily maintainable software products.

Elements of Case Tools

Following are the main components of Case Tools:

Central Repository – Central Repository or Data Dictionary is a central storage for product specifications, documents, reports, and diagrams.
Upper Case Tools – These are used in planning, analysis, and design phases of SDLC.
Lower Case Tools – These are used in the implementation, testing, and maintenance.
Integrated Case Tools – These tools can be used in all the stages of SDLC.

Project, Thesis, and Research topics in Software Engineering

Following is the list of Software Engineering topics for project, thesis, and research for masters and other postgraduate students:

Data Modeling

Software Models

Software Quality

Verification and Validation

Software Project Management

Data Modeling

The process of structuring and organizing data is known as Data Modeling. After structuring of data, it is implemented in the database system. While organizing data, certain constraints and limitations are also applied to data. The main function of Data Modeling is to manage a large amount of both structured and unstructured data. In data modeling, initially, a conceptual data model is created which is later translated to the physical data model.

UML(Unified Modeling Language)

This was all about Software Engineering. You can explore and research more of this topic while working on your project and thesis. It is a standard language to visualize software systems. This language is used by software developers, business analysts, software architects, and other individuals to study the artifacts of a software system. It is a very good topic for a thesis in Software Engineering.

SDLC or Software Development Lifecycle is a set of stages followed for the development of a software product. For building a software product steps are followed beginning from data collection to software maintenance. It also includes software testing in which a software goes through various types of testing before giving a final nod to the software product.

Masters students can work on software models for their thesis work. Various types of software models are there like waterfall model, V-Shaped model, spiral model, prototype model, agile model, Iterative model etc. These models give step by step implementation of various phases of software development.

The concept of ontology is used in Software Engineering to represent the domain knowledge in a formal way. Certain knowledge-based applications use the ontology to share knowledge. Ontology is used in software engineering to collaborate the use of AI techniques in software engineering. UML diagrams are also being used in the development of Ontology.

Software Quality refers to the study of software features both external and internal taking into consideration certain attributes. External features mean how software is performing in a real-world environment while internal features refer to the quality of code written for the software. External quality is dependent on the internal in the sense that software works in the real-world environment with respect to the code written by the coder.

After the software product is implemented, it goes through the testing phase to find any underlying error or bug. The most common type of software testing is the alpha testing. In this type of testing, the software is tested to detect any issue before it is released. Students can find a number of topics under software testing for thesis, research, and project.

Software Maintenance is necessary as some errors or bugs can be detected in future in the software product. Students can study and research on the types of software maintenance done by the team. Software Maintenace does not solely means fixing errors in the software. It includes a number of tasks done so that the software product keeps on working perfectly with advancements.

Verification and Validation are the two most important steps in software engineering. Verification and Validation are not as easy as it seems. There are a number of steps under it which can be an interesting research work for your thesis. Verification is done before validation.

It is another interesting topic for the thesis in software engineering. It refers to the management of the software project through proper planning and execution. It includes time, cost, quality, and scope of the project. A team is appointed for this purpose.

These were the topics in software engineering for project, thesis, and research. Contact us for any kind of thesis help in software engineering for M.Tech and Ph.D.

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Research Topics & Ideas: CompSci & IT

50+ Computer Science Research Topic Ideas To Fast-Track Your Project

Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a computer science-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of CompSci & IT-related research ideas and topic thought-starters, including algorithms, AI, networking, database systems, UX, information security and software engineering.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the CompSci domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic.

Overview: CompSci Research Topics

Algorithms & data structures
Artificial intelligence ( AI )
Computer networking
Database systems
Human-computer interaction
Information security (IS)
Software engineering
Examples of CompSci dissertation & theses

Topics/Ideas: Algorithms & Data Structures

An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
An evaluation of machine learning algorithms used for recommender systems in streaming services
A review of approximation algorithm approaches for solving NP-hard problems
An analysis of parallel algorithms for high-performance computing of genomic data
The influence of data structures on optimal algorithm design and performance in Fintech
A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
A comparison of streaming algorithm performance for the detection of elephant flows
A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
Exploring the feasibility of applying information theory to feature extraction in retail datasets.
Assessing the use case of neural network algorithms for image analysis in biodiversity assessment

Topics & Ideas: Artificial Intelligence (AI)

Applying deep learning algorithms for speech recognition in speech-impaired children
A review of the impact of artificial intelligence on decision-making processes in stock valuation
An evaluation of reinforcement learning algorithms used in the production of video games
An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
An analysis of the ethical and social implications of artificial intelligence-based automated marking
The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
An examination of the use of artificial intelligence in orthopaedic surgery
The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools

Topics & Ideas: Networking

An analysis of the impact of 5G technology on internet penetration in rural Tanzania
Assessing the role of software-defined networking (SDN) in modern cloud-based computing
A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
Exploring the influence of cloud computing on security risks in fintech.
An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
An evaluation of the challenges and opportunities in 6G wireless network adoption
The role of network congestion control algorithms in improving network performance on streaming platforms
An analysis of network coding-based approaches for data security
Assessing the impact of network topology on network performance and reliability in IoT-based workspaces

Free Webinar: How To Find A Dissertation Research Topic

Topics & Ideas: Database Systems

An analysis of big data management systems and technologies used in B2B marketing
The impact of NoSQL databases on data management and analysis in smart cities
An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
Exploring the role of data warehousing and business intelligence in global consultancies
An analysis of the use of graph databases for data modelling and analysis in recommendation systems
The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
An examination of the challenges and opportunities of distributed databases in supply chain management
Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing

Topics & Ideas: Human-Computer Interaction

An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
An exploration of how artificial intelligence is changing human-computer interaction patterns in children
An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
Assessing the influence of virtual and augmented reality on consumer purchasing patterns
An examination of the use of gesture-based interfaces in architecture
Exploring the impact of ease of use in wearable technology on geriatric user
Evaluating the ramifications of gamification in the Metaverse
A systematic review of user experience (UX) design advances associated with Augmented Reality
A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
Analysing the impact of voice-based interfaces on purchase practices in the fast food industry

Research Topic Kickstarter - Need Help Finding A Research Topic?

Topics & Ideas: Information Security

A bibliometric review of current trends in cryptography for secure communication
An analysis of secure multi-party computation protocols and their applications in cloud-based computing
An investigation of the security of blockchain technology in patient health record tracking
A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
A systematic review of secure data storage solutions used for cloud computing in the fintech industry
An analysis of intrusion detection and prevention systems used in the healthcare sector
Assessing security best practices for IoT devices in political offices
An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
A comparative study of digital signature schemes adoption in property transfers
An assessment of the security of secure wireless communication systems used in tertiary institutions

Topics & Ideas: Software Engineering

A study of agile software development methodologies and their impact on project success in pharmacology
Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
A study of the impact of DevOps practices on software development and delivery in the healthcare sector
An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
An investigation of software testing techniques and methodologies for subscription-based offerings
A review of software security practices and techniques for protecting against phishing attacks from social media
An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
Exploring the impact of software development outsourcing on project success in multinational contexts
An investigation into the effect of poor software documentation on app success in the retail sector

CompSci & IT Dissertations/Theses

While the ideas we’ve presented above are a decent starting point for finding a CompSci-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various CompSci-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

An array-based optimization framework for query processing and data analytics (Chen, 2021)
Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
Embedding constructural documentation in unit tests (Nassif, 2019)
PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
A state-based approach to context modeling and computing (Yue, 2019)
A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Research Topic

If you’re still feeling a bit unsure about how to find a research topic for your Computer Science dissertation or research project, check out our Topic Kickstarter service.

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments.

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Information Technology -MSc program

It’s really interesting but how can I have access to the materials to guide me through my work?

That’s my problem also.

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments is in my favour. May i get the proper material about that ?

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Database Management Systems

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Offered MSc Thesis topics

See also our current list of projects on the Research page to get an idea of what is topical in our research. Another list of all our projects is also available in Tuhat, with responsible persons listed (you can ask them about potential thesis topics).

A more exhaustive list of topics from the department is available at CSM Master thesis topics (moodle).

General writing Instructions

We have written some instructions to help the students write their Master's theses, seminar papers and B.Sc. theses. Please, read the guide before starting your thesis work: Scientific Writing – Guide of the Empirical Software Engineering Research Group .

Master's Thesis Topics

Software engineering and technology are prevalent areas for thesis at the department, and many candidates ask for thesis topics every academic year. We do our best to accommodate the requests, but the applicants can smoothen the process by taking an active role in thinking about potential topics based on the themes presented below.

We provide guidance for selecting a suitable topic and the supervision and support needed to complete the work. Please contact Antti-Pekka Tuovinen or Tomi Männistö if you are interested. You can also contact the group members to ask about the subject areas they are working on.

Suppose you, as a student, are working in software development, processes, architecture or something related. In that case, there is a good chance of finding an interesting thesis topic that closely relates to your work. In such a case, the actual work often provides an excellent problem to investigate, propose or try out potential solutions for, or the case can act as a rich source of data about the practice of software development.

We also welcome companies to suggest potential topics for Master's thesis. The topics can be general, based on existing research, or they may require original research and problem-solving. We will help to evaluate and fine-tune the proposals. Depending on the topic, you may also need to be prepared to provide guidance and assistance during the thesis project.

Please contact Antti-Pekka Tuovinen or Tomi Männistö if you have an idea for an industrial thesis and need further information.

The listing below introduces our current research areas and potential topics for the thesis. Each topic has a short description and the names of the researchers working on the topic. Please contact them for more details about the research and thesis work. Note that you can also suggest and discuss other topics within the general area of software engineering research. We encourage creativity and student-centred insight in selecting and defining the topic.

Earlier theses

Some earlier MSc thesis titles below give some idea about the topics. You can try looking up more info from E-thesis , but note that it is up to the author if the actual thesis pdf is available online. Just search using the title (or part of it) in quotation marks. You can also go to the library in person and read all theses (even those without a public pdf) on a kiosk workstation (ask the staff if you need help).

Exploring study paths and study success in undergraduate Computer Science studies
EU:n tietosuoja-asetuksen GDPR:n vaikutus suomalaisissa pk-yrityksissä 2018-2020
Industrial Surveys on Software Testing Practices: A Literature Review
Laskennallisesti raskaan simulointiohjelmistokomponentin korvaaminen reaaliaikasovelluksessa koneoppimismenetelmällä
Web service monitoring tool development
Case study: identifying developer oriented features and capabilities of API developer portals
Documenting software architecture design decisions in continuous software development – a multivocal literature review
Elinikäinen oppiminen ohjelmistotuotannon ammattilaisen keskeisenä
Miten huoltovarmuus toteutuu Ylen verkkouutisissa?
Utilizing Clustering to Create New Industrial Classifications of Finnish Businesses: Design Science Approach
Smoke Testing Display Viewer 5
Modernizing usability and development with microservices
On the affect of psychological safety, team leader’s behaviour and team’s gender diversity on software team performance: A literature review
Lean software development and remote working during COVID-19 - a case study
Julkaisusyklin tihentämisen odotukset, haasteet ja ratkaisut
Software Development in the Fintech Industry: A Literature Review
Design of an automated pipeline to improve the process of cross-platform mobile building and deployment
Haasteet toimijamallin käytössä ohjelmistokehityksessä, systemaattinen kirjallisuuskatsaus
Light-weight method for detecting API breakages in microservice architectures
Kirjallisuuskatsaus ja tapaustutkimus API-hallinnasta mikropalveluarkkitehtuurissa
In-depth comparison of BDD testing frameworks for Java
Itseohjautuvan auton moraalikoneen kehittämisen haasteet
Towards secure software development at Neste - a case study
Etuuspohjaisen eläkejärjestelyn laskennan optimointi vakuutustenhallintajärjestelmässä
Internal software startup within a university – producing industry-ready graduates
Applying global software development approaches to building high-performing software teams
Systemaattinen kirjallisuuskatsaus lääkinnällisistä ohjelmistoista ja ketterästä ohjelmistokehityksestä
Matalan kynnyksen ohjelmointialustan hyödyntäminen projektinhalinnassa
Uncertainty Estimation with Calibrated Confidence Scores
Tool for grouping test log failures using string similarity algorithms
Design, Implementation, and Validation of a Uniform Control Interface for Drawing Robots with ROS2
Assuring Model Documentation in Continuous Machine Learning System Development
Verkkopalvelun saavutettavuuden arviointi ja kehittäminen ohjelmistotuoteyrityksessä
Methods for API Governance automation: managing interfaces in a microservice system
Improving Web Performance by Optimizing Cascading Style Sheets (CSS): Literature Review and Empirical Findings
Implementing continuous delivery for legacy software
Using ISO/IEC 29110 to Improve Software Testing in an Agile VSE
An Open-Source and Portable MLOps Pipeline for Continuous Training and Continuous Deployment
System-level testing with microservice architecture
Green in software engineering: tools, methods and practices for reducing the environmental impacts of software use – a literature review
Machine Learning Monitoring and Maintenance: A Multivocal Literature Review
Green in Software Engineering: A Systematic Literature Review
Comparison of Two Open Source Feature Stores for Explainable Machine Learning
Open-source tools for automatic generation of game content
Verkkosovelluskehysten energiankulutus: vertaileva tutkimus Blazor WebAssembly ja JavaScript
Infrastruktuuri koodina -toimintatavan tehostaminen
Geospatial DBSCAN Hyperparameter Optimization with a Novel Genetic Algorithm Method
Hybrid mobile development using Ionic framework
Correlation of Unit Test Code Coverage with Software Quality
Factors affecting productivity of software development teams and individual developers: A systematic literature review
Case study: Performance of JavaScript on server side
Reducing complexity of microservices with API-Saga
Organizing software architecture work in a multi-team, multi-project, agile environment
Cloud-based visual programming BIM design workflow
IT SIAM toimintojen kehitysprojekti
PhyloStreamer: A cloud focused application for integrating phylogenetic command-line tools into graphical interfaces
Evaluation of WebView Rendering Performance in the Context of React Native
A Thematic Review of Preventing Bias in Iterative AI Software Development
Adopting Machine Learning Pipeline in Existing Environment

Current topic areas of interest to the research group (see below for the details)

Open source-related topic areas in collaboration with Daimler Truck (TOPIC AREAs, INDUSTRIAL COLLABORATION)

(TOPIC AREA)

(PROJECTS)

(TOPIC AREA)

Open source-related topic areas in collaboration with Daimler Truck

Open Chain: Developing the Journey to Open Chain Compliance at the example of Daimler Truck
How should an industrial company (for example, Daimler Truck) leverage open source software: Building a framework with different dimensions, from efficient governance to value in inner source and open source projects
How can an organization efficiently incentivize inner-source activities? (on different levels, culture, infrastructure, governance, regulations & commitments.)
How can an industrial organization leverage value from actively engaging in FOSS activities (especially on active creation and contribution)
How can spillovers help Industrial companies to educate the rare resources but also attract and retain talent? Ref: Gandal, N., Naftaliev, P., & Stettner, U. (2017). Following the code: spillovers and knowledge transfer. Review of Network Economics , 16 (3), 243-267. Abstract: Knowledge spillovers in Open Source Software (OSS) can occur via two channels: In the first channel, programmers take knowledge and experience gained from one OSS project they work on and employ it in another OSS project they work on. In the second channel, programmers reuse software code by taking code from an OSS project and employing it in another. We develop a methodology to measure software reuse in a large OSS network at the micro level and show that projects that reuse code from other projects have higher success. We also demonstrate knowledge spillovers from projects connected via common programmers.

If interested, contact Tomi Männistö for further information

Hybrid software development (TOPIC AREA)

The current pandemic has brought many, even radical, changes to almost all software companies and software development organizations. Especially the sudden moves to working from home (WFH) in March 2020 forced them to adapt and even rethink many software engineering practices in order to continue productive software development under the new constraints.

Now (December 2021), various hybrid ways of working appear to become the new "normal" for the software industry in general. For instance, many companies are offering flexible workplace arrangements (WFX).

This thesis theme aims to explore and possibly explain such changes in contemporary software engineering. Potential research questions include the following:

How has the COVID-19 pandemic affected different software engineering activities (negatively or positively)? What are the mechanisms?
What adaptations and countermeasures have different software organizations devised to cope with the challenges?
What could be learned from them for future hybrid software development processes, practices and tools?

Contact: Petri Kettunen

MLOps -- as a derivative of DevOps -- is about practice and tools for ML-based systems that technically enable iterative software engineering practice. We have several funded positions in the area of MLOps in our research projects (IMLE4 https://itea4.org/project/iml4e.html and AIGA https://ai-governance.eu/ ) that can be tailored to the interest of the applicant. For details, contact Mikko Raatikainen ( [email protected] ).

Digital Twin of Yourself

Digital twins are virtual world dynamic models of real-world physical objects. They originate from manufacturing domains. In such environments, they are utilized, for example, for predictive maintenance of equipment based on real-time machine data.

Recently the application domains of digital twins have broadened to cover living objects – especially human beings, for instance, in medical domains (so-called Human Digital Twins). In this thesis topic, the objective is to design a digital twin of yourself. The choice of the digital twin dynamic model is free, and so are the data inputs. One possibility could be, for instance, your real-life physical exercise data (e.g., from a heart-rate monitor). You could also consider your Citizen Digital Twin, following your study data and yourself as a lifelong learner.

Software engineering and climate change (TOPIC AREA)

Global climate change may have various impacts on future software engineering on the one hand, and software engineering may affect climate change directly or indirectly, positively or negatively on the other hand. All that opens up many potentially important research problems. Specific theses in this topic area could be, for instance, the following themes:

Green IT (e.g., engineering new software with energy-efficiency requirements in order to reduce or limit power consumption and consequently the carbon footprint)
Carbon neutrality goals of software companies (e.g., software development organizations decreasing physical travelling in order to reduce their greenhouse gas emissions)
Developing software products or services for measuring climate change-related factors

The thesis could be a literature review, an empirical case study or a scientific design work.

Life-long learning for the modern software engineering profession

Specific intended learning outcomes for computer science (software engineering) graduates are life-long learning skills. Such skills and capabilities are essential in modern industrial software engineering environments. Workplace learning is a vital part of most professional software development jobs. What are the necessary life-long learning skills exactly? Why are those skills and capabilities essential in different software organizations? How can they be learned and improved? How do software professionals learn in their workplaces? What particular skills will be more critical in the future? Why? This topic could be investigated by case studies in real-life software organizations. The specific research questions could be some of the above or possibly focused on particular skills (e.g., assessing one's own and the works of other software developers). Contact: Petri Kettunen

Software development in non-ICT contexts (TOPIC AREA)

Software technology is increasingly applied in non-ICT domains and environments (e.g., healthcare, financial sector, telecommunications systems, industrial automation). Such conditions bring up many considerations for effective and efficient software engineering, such as: What are the key characteristics of different use domains (e.g., complexity, reliability)? What is the scope of the particular software system? How are the software requirements engineered? What are the specific constraints (e.g., regulations) in different domains to be considered in software engineering? How to measure the success of software projects and products? What software development methods (e.g., agile) are applicable in different domains? Why/why not? What particular software-related competencies are needed (e.g., digitalization, IoT, cyber-physical systems)? This research problem could be investigated theoretically (literature study) and empirically in industrial case studies. The actual research questions could be some of the above or formulated individually. Contact: Petri Kettunen

Creatively self-adaptive software architectures (TOPIC AREA)

We have recently started exciting research in the intersection between the research fields of self-adaptive software and computational creativity, intending to develop novel software architectures that can creatively adapt themselves in unforeseen situations. This initiative is a new research collaboration between the Discovery Group of Prof. Hannu Toivonen and ESE. There are different options for thesis work with either of the groups. To get a better idea of the topic, see Linkola et al. 2017. Aspects of Self-awareness: An Anatomy of Metacreative Systems. http://computationalcreativity.net/iccc2017/ICCC_17_accepted_submissions/ICCC-1… Contact: Tomi Männistö

Continuous Experimentation (TOPIC AREA)

Software product and service companies need capabilities to evaluate their development decisions and customer and user value. Continuous experimentation, as an experiment-driven development approach, may reduce such development risks by iteratively testing product and service assumptions critical to the software's success. Experiment-driven development has been a crucial component of software development, especially in the last decade. Companies such as Microsoft, Facebook, Google, Amazon and many others often conduct experiments to base their development decisions on data collected from field usage. Contact: Tomi Männistö

Digitalization and digital transformations: impacts on software engineering and systems development (TOPIC AREA)

Digitalization is nowadays cross-cutting and inherent in most areas of businesses and organizations. Software is increasingly built-in and ubiquitous. Such trends and developments bring up many potential software research problems, such as: What does digitalization entail in different contexts? How should digitalization be taken into account in software development processes? What is the role of customer/user involvement in software-intensive systems development (e.g., digital services)? What are the key quality attributes? What new software engineering skills and competencies may be needed? What is the role of software (and IT) in general in different digital transformations (e.g., vs business process development)? How is digitalization related to traditional software engineering and computer science disciplines in different contexts? What aspects of software development and digital technologies are fundamentally new or different from the past? This research problem could be investigated theoretically (literature study) or empirically in industrial case studies. The actual research questions could be some of the above or formulated individually. Contact: Petri Kettunen

High-performing software teams (TOPIC AREA)

How is (high) performance defined and measured in software development (e.g., productivity)? Which factors affect it - positively or negatively - and how strongly (e.g., development tools, team composition)? Can we "build" high-performing software teams systematically, or do they merely emerge under certain favourable conditions? What are suitable organizational designs and environments for hosting and supporting such teams? See this link and this link for more info. Contact: Petri Kettunen

Software innovation (TOPIC AREA)

How are innovation and creativity taken into account in software development processes and methods (e.g., Agile)? What role do customer/user input and feedback play in software(-intensive) product creation (e.g., open innovation)? How to define and measure 'innovativeness' in software development? What makes software development organizations (more) innovative? See here for more about the topic. How can Open Data Software help innovation? Contact: Petri Kettunen

Master Thesis

I have extensive experience in supervising (42) and examining (100+) Master Theses in Software Engineering, Software Technology, and Software Development. Below you can find some examples of theses I have supervised as well as thesis topics I am interested in.

However, my interests are broad; if you are a good student don't hesitate to contact me and we can discuss it. If you are not a student with top grades and ambition do not bother; I get very many requests and it is unlikely I can help you.

When at BTH I worked for several years in a project to improve Master Theses in Software Engineering. The processes, supporting documents and lectures as well as rubrics for quality that I developed can be found on this page . If I supervise your thesis you can expect to use this material extensively. You can also expect that the aim is both industrial relevance/effect and academic publication; this gives you the best options for your future career after the thesis.

Thesis Topics

All topics listed below are free (as in not taken by any student) but not everyone has a detailed description online; if you are interested in any of these please email me.

Robustness Testing of Deep Learning and Machine Learning Models
Optimizing the Diversity and Diameter of Test Sets ( ReTest can support this)
Automated Search for Corner Cases for Testing Automotive Systems
Testing Software Systems with AI and Machine Learning Components
Extending Unit Testing Frameworks for Verification of Robustness Requirements
Extending Unit Testing Frameworks for Verification of Performance Requirements
Automated Boundary Testing ( ReTest can support this)
Selecting Typical Test Cases from a Large and Generated Set ( ReTest can support this)
Automated Robustness Testing
Group Creativity and Collective Intelligence and its effect on Requirements Engineering
Personality of Professional Software Engineers and How it Affects the Organization
An Integral Theory of Software Use
Measuring and analysing (Non-)Use of Software Engineering Artefacts
Similarity Analysis of Product Customization Artefacts
A General Framework for Test and Code Optimization based on Change Data
Evaluating Fault Location Methods in Industrial Practice
High-resolution Software Analytics with Bayesida Data Analysis
Statistical Debugging of Dynamic Programming Languages
A Mutation Testing Library for Julia
Information Theoretical Modeling of Software Development
Automated Ranking of SE Venues based on Citations

Master Theses - Supervised

Papers based on master theses.

I always have the goal that master theses I supervise should be published. I will generally help and encourage students to publish if the work is good enough. A large number of papers in my publication list are the results from master thesis projects. The students are always included in a publication based on their thesis project; depending on the level of contribution to the work itself and to the final paper we will decide on author order. A representative sample of such papers can be found below:

Statistics for papers based on Theses
Type	Statistic
Chance of paper from finished M.T. project	43.5% (10 of 23)
Papers per project (overall)	0.5 (13 of 26)
Papers per project with at least one paper	1.3 (13 in 10)

Publications
Presentations

Advisers & Contacts
Bachelor of Arts & Bachelor of Science in Engineering
Prerequisites
Declaring Computer Science for AB Students
Declaring Computer Science for BSE Students
Class of '25, '26 & '27 - Departmental Requirements
Class of 2024 - Departmental Requirements
COS126 Information
Important Steps and Deadlines
Independent Work Seminars
Guidelines and Useful Information

Undergraduate Research Topics

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Independent Work & Theses

How to Contact Faculty for IW/Thesis Advising

Send the professor an e-mail. When you write a professor, be clear that you want a meeting regarding a senior thesis or one-on-one IW project, and briefly describe the topic or idea that you want to work on. Check the faculty listing for email addresses.

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Parastoo Abtahi, Room 419

Available for single-semester IW and senior thesis advising, 2024-2025

Research Areas: Human-Computer Interaction (HCI), Augmented Reality (AR), and Spatial Computing
Input techniques for on-the-go interaction (e.g., eye-gaze, microgestures, voice) with a focus on uncertainty, disambiguation, and privacy.
Minimal and timely multisensory output (e.g., spatial audio, haptics) that enables users to attend to their physical environment and the people around them, instead of a 2D screen.
Interaction with intelligent systems (e.g., IoT, robots) situated in physical spaces with a focus on updating users’ mental model despite the complexity and dynamicity of these systems.

Ryan Adams, Room 411

Research areas:

Machine learning driven design
Generative models for structured discrete objects
Approximate inference in probabilistic models
Accelerating solutions to partial differential equations
Innovative uses of automatic differentiation
Modeling and optimizing 3d printing and CNC machining

Andrew Appel, Room 209

Available for Fall 2024 IW advising, only

Research Areas: Formal methods, programming languages, compilers, computer security.
Software verification (for which taking COS 326 / COS 510 is helpful preparation)
Game theory of poker or other games (for which COS 217 / 226 are helpful)
Computer game-playing programs (for which COS 217 / 226)
Risk-limiting audits of elections (for which ORF 245 or other knowledge of probability is useful)

Sanjeev Arora, Room 407

Theoretical machine learning, deep learning and its analysis, natural language processing. My advisees would typically have taken a course in algorithms (COS423 or COS 521 or equivalent) and a course in machine learning.
Show that finding approximate solutions to NP-complete problems is also NP-complete (i.e., come up with NP-completeness reductions a la COS 487).
Experimental Algorithms: Implementing and Evaluating Algorithms using existing software packages.
Studying/designing provable algorithms for machine learning and implementions using packages like scipy and MATLAB, including applications in Natural language processing and deep learning.
Any topic in theoretical computer science.

David August, Room 221

Not available for IW or thesis advising, 2024-2025

Research Areas: Computer Architecture, Compilers, Parallelism
Containment-based approaches to security: We have designed and tested a simple hardware+software containment mechanism that stops incorrect communication resulting from faults, bugs, or exploits from leaving the system. Let's explore ways to use containment to solve real problems. Expect to work with corporate security and technology decision-makers.
Parallelism: Studies show much more parallelism than is currently realized in compilers and architectures. Let's find ways to realize this parallelism.
Any other interesting topic in computer architecture or compilers.

Mark Braverman, 194 Nassau St., Room 231

Research Areas: computational complexity, algorithms, applied probability, computability over the real numbers, game theory and mechanism design, information theory.
Topics in computational and communication complexity.
Applications of information theory in complexity theory.
Algorithms for problems under real-life assumptions.
Game theory, network effects
Mechanism design (could be on a problem proposed by the student)

Bernard Chazelle, 194 Nassau St., Room 301

Research Areas: Natural Algorithms, Computational Geometry, Sublinear Algorithms.
Natural algorithms (flocking, swarming, social networks, etc).
Sublinear algorithms
Self-improving algorithms
Markov data structures

Danqi Chen, Room 412

My advisees would be expected to have taken a course in machine learning and ideally have taken COS484 or an NLP graduate seminar.
Representation learning for text and knowledge bases
Pre-training and transfer learning
Question answering and reading comprehension
Information extraction
Text summarization
Any other interesting topics related to natural language understanding/generation

Marcel Dall'Agnol, Corwin 034

Research Areas: Theoretical computer science. (Specifically, quantum computation, sublinear algorithms, complexity theory, interactive proofs and cryptography)
Research Areas: Machine learning

Jia Deng, Room 423

Research Areas: Computer Vision, Machine Learning.
Object recognition and action recognition
Deep Learning, autoML, meta-learning
Geometric reasoning, logical reasoning

Adji Bousso Dieng, Room 406

Research areas: Vertaix is a research lab at Princeton University led by Professor Adji Bousso Dieng. We work at the intersection of artificial intelligence (AI) and the natural sciences. The models and algorithms we develop are motivated by problems in those domains and contribute to advancing methodological research in AI. We leverage tools in statistical machine learning and deep learning in developing methods for learning with the data, of various modalities, arising from the natural sciences.

Robert Dondero, Corwin Hall, Room 038

Research Areas: Software engineering; software engineering education.
Develop or evaluate tools to facilitate student learning in undergraduate computer science courses at Princeton, and beyond.
In particular, can code critiquing tools help students learn about software quality?

Zeev Dvir, 194 Nassau St., Room 250

Research Areas: computational complexity, pseudo-randomness, coding theory and discrete mathematics.
Independent Research: I have various research problems related to Pseudorandomness, Coding theory, Complexity and Discrete mathematics - all of which require strong mathematical background. A project could also be based on writing a survey paper describing results from a few theory papers revolving around some particular subject.

Benjamin Eysenbach, Room 416

Research areas: reinforcement learning, machine learning. My advisees would typically have taken COS324.
Using RL algorithms to applications in science and engineering.
Emergent behavior of RL algorithms on high-fidelity robotic simulators.
Studying how architectures and representations can facilitate generalization.

Christiane Fellbaum, 1-S-14 Green

Research Areas: theoretical and computational linguistics, word sense disambiguation, lexical resource construction, English and multilingual WordNet(s), ontology
Anything having to do with natural language--come and see me with/for ideas suitable to your background and interests. Some topics students have worked on in the past:
Developing parsers, part-of-speech taggers, morphological analyzers for underrepresented languages (you don't have to know the language to develop such tools!)
Quantitative approaches to theoretical linguistics questions
Extensions and interfaces for WordNet (English and WN in other languages),
Applications of WordNet(s), including:
Foreign language tutoring systems,
Spelling correction software,
Word-finding/suggestion software for ordinary users and people with memory problems,
Machine Translation
Sentiment and Opinion detection
Automatic reasoning and inferencing
Collaboration with professors in the social sciences and humanities ("Digital Humanities")

Adam Finkelstein, Room 424

Research Areas: computer graphics, audio.

Robert S. Fish, Corwin Hall, Room 037

Networking and telecommunications
Learning, perception, and intelligence, artificial and otherwise;
Human-computer interaction and computer-supported cooperative work
Online education, especially in Computer Science Education
Topics in research and development innovation methodologies including standards, open-source, and entrepreneurship
Distributed autonomous organizations and related blockchain technologies

Michael Freedman, Room 308

Research Areas: Distributed systems, security, networking
Projects related to streaming data analysis, datacenter systems and networks, untrusted cloud storage and applications. Please see my group website at http://sns.cs.princeton.edu/ for current research projects.

Ruth Fong, Room 032

Research Areas: computer vision, machine learning, deep learning, interpretability, explainable AI, fairness and bias in AI
Develop a technique for understanding AI models
Design a AI model that is interpretable by design
Build a paradigm for detecting and/or correcting failure points in an AI model
Analyze an existing AI model and/or dataset to better understand its failure points
Build a computer vision system for another domain (e.g., medical imaging, satellite data, etc.)
Develop a software package for explainable AI
Adapt explainable AI research to a consumer-facing problem

Note: I am happy to advise any project if there's a sufficient overlap in interest and/or expertise; please reach out via email to chat about project ideas.

Tom Griffiths, Room 405

Research areas: computational cognitive science, computational social science, machine learning and artificial intelligence

Note: I am open to projects that apply ideas from computer science to understanding aspects of human cognition in a wide range of areas, from decision-making to cultural evolution and everything in between. For example, we have current projects analyzing chess game data and magic tricks, both of which give us clues about how human minds work. Students who have expertise or access to data related to games, magic, strategic sports like fencing, or other quantifiable domains of human behavior feel free to get in touch.

Aarti Gupta, Room 220

Research Areas: Formal methods, program analysis, logic decision procedures
Finding bugs in open source software using automatic verification tools
Software verification (program analysis, model checking, test generation)
Decision procedures for logical reasoning (SAT solvers, SMT solvers)

Elad Hazan, Room 409

Research interests: machine learning methods and algorithms, efficient methods for mathematical optimization, regret minimization in games, reinforcement learning, control theory and practice
Machine learning, efficient methods for mathematical optimization, statistical and computational learning theory, regret minimization in games.
Implementation and algorithm engineering for control, reinforcement learning and robotics
Implementation and algorithm engineering for time series prediction

Felix Heide, Room 410

Research Areas: Computational Imaging, Computer Vision, Machine Learning (focus on Optimization and Approximate Inference).
Optical Neural Networks
Hardware-in-the-loop Holography
Zero-shot and Simulation-only Learning
Object recognition in extreme conditions
3D Scene Representations for View Generation and Inverse Problems
Long-range Imaging in Scattering Media
Hardware-in-the-loop Illumination and Sensor Optimization
Inverse Lidar Design
Phase Retrieval Algorithms
Proximal Algorithms for Learning and Inference
Domain-Specific Language for Optics Design

Peter Henderson , 302 Sherrerd Hall

Research Areas: Machine learning, law, and policy

Kyle Jamieson, Room 306

Research areas: Wireless and mobile networking; indoor radar and indoor localization; Internet of Things
See other topics on my independent work ideas page (campus IP and CS dept. login req'd)

Alan Kaplan, 221 Nassau Street, Room 105

Research Areas:

Random apps of kindness - mobile application/technology frameworks used to help individuals or communities; topic areas include, but are not limited to: first response, accessibility, environment, sustainability, social activism, civic computing, tele-health, remote learning, crowdsourcing, etc.
Tools automating programming language interoperability - Java/C++, React Native/Java, etc.
Software visualization tools for education
Connected consumer devices, applications and protocols

Brian Kernighan, Room 311

Available for single-semester IW, 2024-2025. No longer available for senior thesis advising.

Research Areas: application-specific languages, document preparation, user interfaces, software tools, programming methodology
Application-oriented languages, scripting languages.
Tools; user interfaces
Digital humanities

Zachary Kincaid, Room 219

Available for Fall 2024 single-semester IW advising, only

Research areas: programming languages, program analysis, program verification, automated reasoning
Independent Research Topics:
Develop a practical algorithm for an intractable problem (e.g., by developing practical search heuristics, or by reducing to, or by identifying a tractable sub-problem, ...).
Design a domain-specific programming language, or prototype a new feature for an existing language.
Any interesting project related to programming languages or logic.

Gillat Kol, Room 316

Research area: theory

Aleksandra Korolova, 309 Sherrerd Hall

Research areas: Societal impacts of algorithms and AI; privacy; fair and privacy-preserving machine learning; algorithm auditing.

Advisees typically have taken one or more of COS 226, COS 324, COS 423, COS 424 or COS 445.

Pravesh Kothari, Room 320

Research areas: Theory

Amit Levy, Room 307

Research Areas: Operating Systems, Distributed Systems, Embedded Systems, Internet of Things
Distributed hardware testing infrastructure
Second factor security tokens
Low-power wireless network protocol implementation
USB device driver implementation

Kai Li, Room 321

Research Areas: Distributed systems; storage systems; content-based search and data analysis of large datasets.
Fast communication mechanisms for heterogeneous clusters.
Approximate nearest-neighbor search for high dimensional data.
Data analysis and prediction of in-patient medical data.
Optimized implementation of classification algorithms on manycore processors.

Xiaoyan Li, 221 Nassau Street, Room 104

Research areas: Information retrieval, novelty detection, question answering, AI, machine learning and data analysis.
Explore new statistical retrieval models for document retrieval and question answering.
Apply AI in various fields.
Apply supervised or unsupervised learning in health, education, finance, and social networks, etc.
Any interesting project related to AI, machine learning, and data analysis.

Lydia Liu, Room 414

Research Areas: algorithmic decision making, machine learning and society
Theoretical foundations for algorithmic decision making (e.g. mathematical modeling of data-driven decision processes, societal level dynamics)
Societal impacts of algorithms and AI through a socio-technical lens (e.g. normative implications of worst case ML metrics, prediction and model arbitrariness)
Machine learning for social impact domains, especially education (e.g. responsible development and use of LLMs for education equity and access)
Evaluation of human-AI decision making using statistical methods (e.g. causal inference of long term impact)

Wyatt Lloyd, Room 323

Research areas: Distributed Systems
Caching algorithms and implementations
Storage systems
Distributed transaction algorithms and implementations

Alex Lombardi , Room 312

Research Areas: Theory

Margaret Martonosi, Room 208

Quantum Computing research, particularly related to architecture and compiler issues for QC.
Computer architectures specialized for modern workloads (e.g., graph analytics, machine learning algorithms, mobile applications
Investigating security and privacy vulnerabilities in computer systems, particularly IoT devices.
Other topics in computer architecture or mobile / IoT systems also possible.

Jonathan Mayer, Sherrerd Hall, Room 307

Available for Spring 2025 single-semester IW, only

Research areas: Technology law and policy, with emphasis on national security, criminal procedure, consumer privacy, network management, and online speech.
Assessing the effects of government policies, both in the public and private sectors.
Collecting new data that relates to government decision making, including surveying current business practices and studying user behavior.
Developing new tools to improve government processes and offer policy alternatives.

Mae Milano, Room 307

Local-first / peer-to-peer systems
Wide-ares storage systems
Consistency and protocol design
Type-safe concurrency
Language design
Gradual typing
Domain-specific languages
Languages for distributed systems

Andrés Monroy-Hernández, Room 405

Research Areas: Human-Computer Interaction, Social Computing, Public-Interest Technology, Augmented Reality, Urban Computing
Research interests:developing public-interest socio-technical systems. We are currently creating alternatives to gig work platforms that are more equitable for all stakeholders. For instance, we are investigating the socio-technical affordances necessary to support a co-op food delivery network owned and managed by workers and restaurants. We are exploring novel system designs that support self-governance, decentralized/federated models, community-centered data ownership, and portable reputation systems. We have opportunities for students interested in human-centered computing, UI/UX design, full-stack software development, and qualitative/quantitative user research.
Beyond our core projects, we are open to working on research projects that explore the use of emerging technologies, such as AR, wearables, NFTs, and DAOs, for creative and out-of-the-box applications.

Christopher Moretti, Corwin Hall, Room 036

Research areas: Distributed systems, high-throughput computing, computer science/engineering education
Expansion, improvement, and evaluation of open-source distributed computing software.
Applications of distributed computing for "big science" (e.g. biometrics, data mining, bioinformatics)
Software and best practices for computer science education and study, especially Princeton's 126/217/226 sequence or MOOCs development
Sports analytics and/or crowd-sourced computing

Radhika Nagpal, F316 Engineering Quadrangle

Research areas: control, robotics and dynamical systems

Karthik Narasimhan, Room 422

Research areas: Natural Language Processing, Reinforcement Learning
Autonomous agents for text-based games ( https://www.microsoft.com/en-us/research/project/textworld/ )
Transfer learning/generalization in NLP
Techniques for generating natural language
Model-based reinforcement learning

Arvind Narayanan, 308 Sherrerd Hall

Research Areas: fair machine learning (and AI ethics more broadly), the social impact of algorithmic systems, tech policy

Pedro Paredes, Corwin Hall, Room 041

My primary research work is in Theoretical Computer Science.

* Research Interest: Spectral Graph theory, Pseudorandomness, Complexity theory, Coding Theory, Quantum Information Theory, Combinatorics.

The IW projects I am interested in advising can be divided into three categories:

1. Theoretical research

I am open to advise work on research projects in any topic in one of my research areas of interest. A project could also be based on writing a survey given results from a few papers. Students should have a solid background in math (e.g., elementary combinatorics, graph theory, discrete probability, basic algebra/calculus) and theoretical computer science (226 and 240 material, like big-O/Omega/Theta, basic complexity theory, basic fundamental algorithms). Mathematical maturity is a must.

A (non exhaustive) list of topics of projects I'm interested in: * Explicit constructions of better vertex expanders and/or unique neighbor expanders. * Construction deterministic or random high dimensional expanders. * Pseudorandom generators for different problems. * Topics around the quantum PCP conjecture. * Topics around quantum error correcting codes and locally testable codes, including constructions, encoding and decoding algorithms.

2. Theory informed practical implementations of algorithms Very often the great advances in theoretical research are either not tested in practice or not even feasible to be implemented in practice. Thus, I am interested in any project that consists in trying to make theoretical ideas applicable in practice. This includes coming up with new algorithms that trade some theoretical guarantees for feasible implementation yet trying to retain the soul of the original idea; implementing new algorithms in a suitable programming language; and empirically testing practical implementations and comparing them with benchmarks / theoretical expectations. A project in this area doesn't have to be in my main areas of research, any theoretical result could be suitable for such a project.

Some examples of areas of interest: * Streaming algorithms. * Numeric linear algebra. * Property testing. * Parallel / Distributed algorithms. * Online algorithms. 3. Machine learning with a theoretical foundation

I am interested in projects in machine learning that have some mathematical/theoretical, even if most of the project is applied. This includes topics like mathematical optimization, statistical learning, fairness and privacy.

One particular area I have been recently interested in is in the area of rating systems (e.g., Chess elo) and applications of this to experts problems.

Final Note: I am also willing to advise any project with any mathematical/theoretical component, even if it's not the main one; please reach out via email to chat about project ideas.

Iasonas Petras, Corwin Hall, Room 033

Research Areas: Information Based Complexity, Numerical Analysis, Quantum Computation.
Prerequisites: Reasonable mathematical maturity. In case of a project related to Quantum Computation a certain familiarity with quantum mechanics is required (related courses: ELE 396/PHY 208).
Possible research topics include:

1. Quantum algorithms and circuits:

i. Design or simulation quantum circuits implementing quantum algorithms.
ii. Design of quantum algorithms solving/approximating continuous problems (such as Eigenvalue problems for Partial Differential Equations).

2. Information Based Complexity:

i. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems in various settings (for example worst case or average case).
ii. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems under new tractability and error criteria.
iii. Necessary and sufficient conditions for tractability of Weighted problems.
iv. Necessary and sufficient conditions for tractability of Weighted Problems under new tractability and error criteria.

3. Topics in Scientific Computation:

i. Randomness, Pseudorandomness, MC and QMC methods and their applications (Finance, etc)

Yuri Pritykin, 245 Carl Icahn Lab

Research interests: Computational biology; Cancer immunology; Regulation of gene expression; Functional genomics; Single-cell technologies.
Potential research projects: Development, implementation, assessment and/or application of algorithms for analysis, integration, interpretation and visualization of multi-dimensional data in molecular biology, particularly single-cell and spatial genomics data.

Benjamin Raphael, Room 309

Research interests: Computational biology and bioinformatics; Cancer genomics; Algorithms and machine learning approaches for analysis of large-scale datasets
Implementation and application of algorithms to infer evolutionary processes in cancer
Identifying correlations between combinations of genomic mutations in human and cancer genomes
Design and implementation of algorithms for genome sequencing from new DNA sequencing technologies
Graph clustering and network anomaly detection, particularly using diffusion processes and methods from spectral graph theory

Vikram Ramaswamy, 035 Corwin Hall

Research areas: Interpretability of AI systems, Fairness in AI systems, Computer vision.
Constructing a new method to explain a model / create an interpretable by design model
Analyzing a current model / dataset to understand bias within the model/dataset
Proposing new fairness evaluations
Proposing new methods to train to improve fairness
Developing synthetic datasets for fairness / interpretability benchmarks
Understanding robustness of models

Ran Raz, Room 240

Research Area: Computational Complexity
Independent Research Topics: Computational Complexity, Information Theory, Quantum Computation, Theoretical Computer Science

Szymon Rusinkiewicz, Room 406

Research Areas: computer graphics; computer vision; 3D scanning; 3D printing; robotics; documentation and visualization of cultural heritage artifacts
Research ways of incorporating rotation invariance into computer visiontasks such as feature matching and classification
Investigate approaches to robust 3D scan matching
Model and compensate for imperfections in 3D printing
Given a collection of small mobile robots, apply control policies learned in simulation to the real robots.

Olga Russakovsky, Room 408

Research Areas: computer vision, machine learning, deep learning, crowdsourcing, fairness&bias in AI
Design a semantic segmentation deep learning model that can operate in a zero-shot setting (i.e., recognize and segment objects not seen during training)
Develop a deep learning classifier that is impervious to protected attributes (such as gender or race) that may be erroneously correlated with target classes
Build a computer vision system for the novel task of inferring what object (or part of an object) a human is referring to when pointing to a single pixel in the image. This includes both collecting an appropriate dataset using crowdsourcing on Amazon Mechanical Turk, creating a new deep learning formulation for this task, and running extensive analysis of both the data and the model

Sebastian Seung, Princeton Neuroscience Institute, Room 153

Research Areas: computational neuroscience, connectomics, "deep learning" neural networks, social computing, crowdsourcing, citizen science
Gamification of neuroscience (EyeWire 2.0)
Semantic segmentation and object detection in brain images from microscopy
Computational analysis of brain structure and function
Neural network theories of brain function

Jaswinder Pal Singh, Room 324

Research Areas: Boundary of technology and business/applications; building and scaling technology companies with special focus at that boundary; parallel computing systems and applications: parallel and distributed applications and their implications for software and architectural design; system software and programming environments for multiprocessors.
Develop a startup company idea, and build a plan/prototype for it.
Explore tradeoffs at the boundary of technology/product and business/applications in a chosen area.
Study and develop methods to infer insights from data in different application areas, from science to search to finance to others.
Design and implement a parallel application. Possible areas include graphics, compression, biology, among many others. Analyze performance bottlenecks using existing tools, and compare programming models/languages.
Design and implement a scalable distributed algorithm.

Mona Singh, Room 420

Research Areas: computational molecular biology, as well as its interface with machine learning and algorithms.
Whole and cross-genome methods for predicting protein function and protein-protein interactions.
Analysis and prediction of biological networks.
Computational methods for inferring specific aspects of protein structure from protein sequence data.
Any other interesting project in computational molecular biology.

Robert Tarjan, 194 Nassau St., Room 308

Research Areas: Data structures; graph algorithms; combinatorial optimization; computational complexity; computational geometry; parallel algorithms.
Implement one or more data structures or combinatorial algorithms to provide insight into their empirical behavior.
Design and/or analyze various data structures and combinatorial algorithms.

Olga Troyanskaya, Room 320

Research Areas: Bioinformatics; analysis of large-scale biological data sets (genomics, gene expression, proteomics, biological networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bioinformatics.
Implement and evaluate one or more gene expression analysis algorithm.
Develop algorithms for assessment of performance of genomic analysis methods.
Develop, implement, and evaluate visualization tools for heterogeneous biological data.

David Walker, Room 211

Research Areas: Programming languages, type systems, compilers, domain-specific languages, software-defined networking and security
Independent Research Topics: Any other interesting project that involves humanitarian hacking, functional programming, domain-specific programming languages, type systems, compilers, software-defined networking, fault tolerance, language-based security, theorem proving, logic or logical frameworks.

Shengyi Wang, Postdoctoral Research Associate, Room 216

Available for Fall 2024 single-semester IW, only

Independent Research topics: Explore Escher-style tilings using (introductory) group theory and automata theory to produce beautiful pictures.

Kevin Wayne, Corwin Hall, Room 040

Research Areas: design, analysis, and implementation of algorithms; data structures; combinatorial optimization; graphs and networks.
Design and implement computer visualizations of algorithms or data structures.
Develop pedagogical tools or programming assignments for the computer science curriculum at Princeton and beyond.
Develop assessment infrastructure and assessments for MOOCs.

Matt Weinberg, 194 Nassau St., Room 222

Research Areas: algorithms, algorithmic game theory, mechanism design, game theoretical problems in {Bitcoin, networking, healthcare}.
Theoretical questions related to COS 445 topics such as matching theory, voting theory, auction design, etc.
Theoretical questions related to incentives in applications like Bitcoin, the Internet, health care, etc. In a little bit more detail: protocols for these systems are often designed assuming that users will follow them. But often, users will actually be strictly happier to deviate from the intended protocol. How should we reason about user behavior in these protocols? How should we design protocols in these settings?

Huacheng Yu, Room 310

data structures
streaming algorithms
design and analyze data structures / streaming algorithms
prove impossibility results (lower bounds)
implement and evaluate data structures / streaming algorithms

Ellen Zhong, Room 314

Opportunities outside the department.

We encourage students to look in to doing interdisciplinary computer science research and to work with professors in departments other than computer science. However, every CS independent work project must have a strong computer science element (even if it has other scientific or artistic elements as well.) To do a project with an adviser outside of computer science you must have permission of the department. This can be accomplished by having a second co-adviser within the computer science department or by contacting the independent work supervisor about the project and having he or she sign the independent work proposal form.

Here is a list of professors outside the computer science department who are eager to work with computer science undergraduates.

Maria Apostolaki, Engineering Quadrangle, C330

Research areas: Computing & Networking, Data & Information Science, Security & Privacy

Branko Glisic, Engineering Quadrangle, Room E330

Documentation of historic structures
Cyber physical systems for structural health monitoring
Developing virtual and augmented reality applications for documenting structures
Applying machine learning techniques to generate 3D models from 2D plans of buildings
Contact : Rebecca Napolitano, rkn2 (@princeton.edu)

Mihir Kshirsagar, Sherrerd Hall, Room 315

Center for Information Technology Policy.

Consumer protection
Content regulation
Competition law
Economic development
Surveillance and discrimination

Sharad Malik, Engineering Quadrangle, Room B224

Select a Senior Thesis Adviser for the 2020-21 Academic Year.

Design of reliable hardware systems
Verifying complex software and hardware systems

Prateek Mittal, Engineering Quadrangle, Room B236

Internet security and privacy
Social Networks
Privacy technologies, anonymous communication
Network Science
Internet security and privacy: The insecurity of Internet protocols and services threatens the safety of our critical network infrastructure and billions of end users. How can we defend end users as well as our critical network infrastructure from attacks?
Trustworthy social systems: Online social networks (OSNs) such as Facebook, Google+, and Twitter have revolutionized the way our society communicates. How can we leverage social connections between users to design the next generation of communication systems?
Privacy Technologies: Privacy on the Internet is eroding rapidly, with businesses and governments mining sensitive user information. How can we protect the privacy of our online communications? The Tor project (https://www.torproject.org/) is a potential application of interest.

Ken Norman, Psychology Dept, PNI 137

Research Areas: Memory, the brain and computation
Lab: Princeton Computational Memory Lab

Potential research topics

Methods for decoding cognitive state information from neuroimaging data (fMRI and EEG)
Neural network simulations of learning and memory

Caroline Savage

Office of Sustainability, Phone:(609)258-7513, Email: cs35 (@princeton.edu)

The Campus as Lab program supports students using the Princeton campus as a living laboratory to solve sustainability challenges. The Office of Sustainability has created a list of campus as lab research questions, filterable by discipline and topic, on its website .

An example from Computer Science could include using TigerEnergy , a platform which provides real-time data on campus energy generation and consumption, to study one of the many energy systems or buildings on campus. Three CS students used TigerEnergy to create a live energy heatmap of campus .

Other potential projects include:

Apply game theory to sustainability challenges
Develop a tool to help visualize interactions between complex campus systems, e.g. energy and water use, transportation and storm water runoff, purchasing and waste, etc.
How can we learn (in aggregate) about individuals’ waste, energy, transportation, and other behaviors without impinging on privacy?

Janet Vertesi, Sociology Dept, Wallace Hall, Room 122

Research areas: Sociology of technology; Human-computer interaction; Ubiquitous computing.
Possible projects: At the intersection of computer science and social science, my students have built mixed reality games, produced artistic and interactive installations, and studied mixed human-robot teams, among other projects.

David Wentzlaff, Engineering Quadrangle, Room 228

Computing, Operating Systems, Sustainable Computing.

Instrument Princeton's Green (HPCRC) data center
Investigate power utilization on an processor core implemented in an FPGA
Dismantle and document all of the components in modern electronics. Invent new ways to build computers that can be recycled easier.
Other topics in parallel computer architecture or operating systems

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Software Engineering Research Group - SERG

Computer science | faculty of engineering, lth, thesis topics.

A thesis in the SERG group typical investigates an aspect of the software engineering life cycle (requirements, design, implementation, testing, etc) within the context of a certain development approach (e.g. continuous experimentation) or software technology. An introduction to some of the SERG topics are given in our courses .

Software engineering theses often include a combination of implementation of a solution (or an application), and empirical investigations (interviews, focus grops etc) to validate the solution and/or to explore a problem domain. For example, a software engineering thesis can include applying ML models, while the main focus can be to study how software engineers can identify relevant requirements or to investigate what and how to performing testing for ML-based applications.

If you are interested, please contact us to discuss further , either based on an existing thesis proposal (e.g. from industry) or on your own ideas and interests. Either contact, a person listed below based on your specific interests, or Elizabeth Bjarnason who is the SERG coordinator for thesis work.

Active areas within the SERG group include the following:

Requirements and Business including Software Startups, modern requirements practices such as prototyping

Examples of relevant courses: ETSN15 (Requirements Engineering ), ETSF25 (The Business of Software )

Contacts: Björn Regnell , Elizabeth Bjarnason

Software Testing including methods, tools, and management

Examples of relevant course: ETSN20 (Software Testing )

Contacts: Per Runeson , Emelie Engström

Open source and data ecosystems including inner source

Example of relevant course: ETSF25 (The Business of Software )

Contacts: Per Runeson , Alma Orucevic-Alagic

Software Management and Human Aspects including communication, collaboration, digital work environments

Examples of relevant courses: ETSN05 (Software Development for Large Systems ), ETSF20 (Large-Scale Software Development )

Contact: Elizabeth Bjarnason

Development approaches including ML/Dev Ops, Continuous deployment, Continuous experimentation

Contacts: Markus Borg , Per Runeson , Elizabeth Bjarnason

Sidöversikt

Research group sites.

Computer Graphics
Embedded Systems Design
Robotics and Semantic Systems
Software Engineering Research Group
Software Development and Environments

Research Area Sites

Artificial Intelligence
Natural Language Processing
Robotics and Automation Software

Research Project Sites

Software and community sites.

Accessibility Statement

Dept. of Computer Science, Lund University Box 118, SE-221 00 LUND Telefon: +46 46-222 00 00 [email protected]

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Research Topics in Software Engineering

This seminar is an opportunity to become familiar with current research in software engineering and more generally with the methods and challenges of scientific research.

Each student will be asked to study some papers from the recent software engineering literature and review them. This is an exercise in critical review and analysis. Active participation is required (a presentation of a paper as well as participation in discussions).

The aim of this seminar is to introduce students to recent research results in the area of programming languages and software engineering. To accomplish that, students will study and present research papers in the area as well as participate in paper discussions. The papers will span topics in both theory and practice, including papers on program verification, program analysis, testing, programming language design, and development tools.

Date	Title	Presenter
15 Sep	Introduction to the seminar	Samuel Steffen
6 Oct		Philippe Voinov
6 Oct		Michel Weber
13 Oct		Lorenz Hetzel
13 Oct		Christian Ulmann
20 Oct		Anqi Li
20 Oct		Teodor Ionescu
27 Oct		Ting-Yu Chen
27 Oct		Pascal Maillard
3 Nov		Ruben Fischer
3 Nov		Janis Peyer
10 Nov		Andrei Herasimau
10 Nov		Minesh Patel
17 Nov		Jonas Hansen
17 Nov		Cedric Ettlin
24 Nov		Dimitri Wessels
24 Nov		Niharika Singh

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Bibliometrics & citations.

Jahns V (2022) Data Fabric and Datafication ACM SIGSOFT Software Engineering Notes 10.1145/3561846.3561854 47 :4 (30-31) Online publication date: 28-Sep-2022 https://dl.acm.org/doi/10.1145/3561846.3561854
Forti S (2022) Trending Topics in Software Engineering (1) ACM SIGSOFT Software Engineering Notes 10.1145/3561846.3561847 47 :4 (6-6) Online publication date: 28-Sep-2022 https://dl.acm.org/doi/10.1145/3561846.3561847

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Digital Commons @ USF > College of Engineering > Computer Science and Engineering > Theses and Dissertations

Computer Science and Engineering Theses and Dissertations

Theses/dissertations from 2024 2024.

Automatic Image-Based Nutritional Calculator App , Kejvi Cupa

Individual Behavioral Modeling Across Games of Strategy , Logan Fields

Semi-automated Cell Annotation Framework Using Deep Learning , Abhiram Kandiyana

Predicting Gender of Author Using Large Language Models (LLMs) , Satya Uday Sanku

Context-aware Affective Behavior Modeling and Analytics , Md Taufeeq Uddin

Exploring the Use of Enhanced SWAD Towards Building Learned Models that Generalize Better to Unseen Sources , Brandon M. Weinhofer

Theses/Dissertations from 2023 2023

Refining the Machine Learning Pipeline for US-based Public Transit Systems , Jennifer Adorno

Insect Classification and Explainability from Image Data via Deep Learning Techniques , Tanvir Hossain Bhuiyan

Brain-Inspired Spatio-Temporal Learning with Application to Robotics , Thiago André Ferreira Medeiros

Evaluating Methods for Improving DNN Robustness Against Adversarial Attacks , Laureano Griffin

Analyzing Multi-Robot Leader-Follower Formations in Obstacle-Laden Environments , Zachary J. Hinnen

Secure Lightweight Cryptographic Hardware Constructions for Deeply Embedded Systems , Jasmin Kaur

A Psychometric Analysis of Natural Language Inference Using Transformer Language Models , Antonio Laverghetta Jr.

Graph Analysis on Social Networks , Shen Lu

Deep Learning-based Automatic Stereology for High- and Low-magnification Images , Hunter Morera

Deciphering Trends and Tactics: Data-driven Techniques for Forecasting Information Spread and Detecting Coordinated Campaigns in Social Media , Kin Wai Ng Lugo

Automated Approaches to Enable Innovative Civic Applications from Citizen Generated Imagery , Hye Seon Yi

Theses/Dissertations from 2022 2022

Towards High Performing and Reliable Deep Convolutional Neural Network Models for Typically Limited Medical Imaging Datasets , Kaoutar Ben Ahmed

Task Progress Assessment and Monitoring Using Self-Supervised Learning , Sainath Reddy Bobbala

Towards More Task-Generalized and Explainable AI Through Psychometrics , Alec Braynen

A Multiple Input Multiple Output Framework for the Automatic Optical Fractionator-based Cell Counting in Z-Stacks Using Deep Learning , Palak Dave

On the Reliability of Wearable Sensors for Assessing Movement Disorder-Related Gait Quality and Imbalance: A Case Study of Multiple Sclerosis , Steven Díaz Hernández

Securing Critical Cyber Infrastructures and Functionalities via Machine Learning Empowered Strategies , Tao Hou

Social Media Time Series Forecasting and User-Level Activity Prediction with Gradient Boosting, Deep Learning, and Data Augmentation , Fred Mubang

A Study of Deep Learning Silhouette Extractors for Gait Recognition , Sneha Oladhri

Analyzing Decision-making in Robot Soccer for Attacking Behaviors , Justin Rodney

Generative Spatio-Temporal and Multimodal Analysis of Neonatal Pain , Md Sirajus Salekin

Secure Hardware Constructions for Fault Detection of Lattice-based Post-quantum Cryptosystems , Ausmita Sarker

Adaptive Multi-scale Place Cell Representations and Replay for Spatial Navigation and Learning in Autonomous Robots , Pablo Scleidorovich

Predicting the Number of Objects in a Robotic Grasp , Utkarsh Tamrakar

Humanoid Robot Motion Control for Ramps and Stairs , Tommy Truong

Preventing Variadic Function Attacks Through Argument Width Counting , Brennan Ward

Theses/Dissertations from 2021 2021

Knowledge Extraction and Inference Based on Visual Understanding of Cooking Contents , Ahmad Babaeian Babaeian Jelodar

Efficient Post-Quantum and Compact Cryptographic Constructions for the Internet of Things , Rouzbeh Behnia

Efficient Hardware Constructions for Error Detection of Post-Quantum Cryptographic Schemes , Alvaro Cintas Canto

Using Hyper-Dimensional Spanning Trees to Improve Structure Preservation During Dimensionality Reduction , Curtis Thomas Davis

Design, Deployment, and Validation of Computer Vision Techniques for Societal Scale Applications , Arup Kanti Dey

AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing , Hamza Elhamdadi

Automatic Detection of Vehicles in Satellite Images for Economic Monitoring , Cole Hill

Analysis of Contextual Emotions Using Multimodal Data , Saurabh Hinduja

Data-driven Studies on Social Networks: Privacy and Simulation , Yasanka Sameera Horawalavithana

Automated Identification of Stages in Gonotrophic Cycle of Mosquitoes Using Computer Vision Techniques , Sherzod Kariev

Exploring the Use of Neural Transformers for Psycholinguistics , Antonio Laverghetta Jr.

Secure VLSI Hardware Design Against Intellectual Property (IP) Theft and Cryptographic Vulnerabilities , Matthew Dean Lewandowski

Turkic Interlingua: A Case Study of Machine Translation in Low-resource Languages , Jamshidbek Mirzakhalov

Automated Wound Segmentation and Dimension Measurement Using RGB-D Image , Chih-Yun Pai

Constructing Frameworks for Task-Optimized Visualizations , Ghulam Jilani Abdul Rahim Quadri

Trilateration-Based Localization in Known Environments with Object Detection , Valeria M. Salas Pacheco

Recognizing Patterns from Vital Signs Using Spectrograms , Sidharth Srivatsav Sribhashyam

Recognizing Emotion in the Wild Using Multimodal Data , Shivam Srivastava

A Modular Framework for Multi-Rotor Unmanned Aerial Vehicles for Military Operations , Dante Tezza

Human-centered Cybersecurity Research — Anthropological Findings from Two Longitudinal Studies , Anwesh Tuladhar

Learning State-Dependent Sensor Measurement Models To Improve Robot Localization Accuracy , Troi André Williams

Human-centric Cybersecurity Research: From Trapping the Bad Guys to Helping the Good Ones , Armin Ziaie Tabari

Theses/Dissertations from 2020 2020

Classifying Emotions with EEG and Peripheral Physiological Data Using 1D Convolutional Long Short-Term Memory Neural Network , Rupal Agarwal

Keyless Anti-Jamming Communication via Randomized DSSS , Ahmad Alagil

Active Deep Learning Method to Automate Unbiased Stereology Cell Counting , Saeed Alahmari

Composition of Atomic-Obligation Security Policies , Yan Cao Albright

Action Recognition Using the Motion Taxonomy , Maxat Alibayev

Sentiment Analysis in Peer Review , Zachariah J. Beasley

Spatial Heterogeneity Utilization in CT Images for Lung Nodule Classication , Dmitrii Cherezov

Feature Selection Via Random Subsets Of Uncorrelated Features , Long Kim Dang

Unifying Security Policy Enforcement: Theory and Practice , Shamaria Engram

PsiDB: A Framework for Batched Query Processing and Optimization , Mehrad Eslami

Composition of Atomic-Obligation Security Policies , Danielle Ferguson

Algorithms To Profile Driver Behavior From Zero-permission Embedded Sensors , Bharti Goel

The Efficiency and Accuracy of YOLO for Neonate Face Detection in the Clinical Setting , Jacqueline Hausmann

Beyond the Hype: Challenges of Neural Networks as Applied to Social Networks , Anthony Hernandez

Privacy-Preserving and Functional Information Systems , Thang Hoang

Managing Off-Grid Power Use for Solar Fueled Residences with Smart Appliances, Prices-to-Devices and IoT , Donnelle L. January

Novel Bit-Sliced In-Memory Computing Based VLSI Architecture for Fast Sobel Edge Detection in IoT Edge Devices , Rajeev Joshi

Edge Computing for Deep Learning-Based Distributed Real-time Object Detection on IoT Constrained Platforms at Low Frame Rate , Lakshmikavya Kalyanam

Establishing Topological Data Analysis: A Comparison of Visualization Techniques , Tanmay J. Kotha

Machine Learning for the Internet of Things: Applications, Implementation, and Security , Vishalini Laguduva Ramnath

System Support of Concurrent Database Query Processing on a GPU , Hao Li

Deep Learning Predictive Modeling with Data Challenges (Small, Big, or Imbalanced) , Renhao Liu

Countermeasures Against Various Network Attacks Using Machine Learning Methods , Yi Li

Towards Safe Power Oversubscription and Energy Efficiency of Data Centers , Sulav Malla

Design of Support Measures for Counting Frequent Patterns in Graphs , Jinghan Meng

Automating the Classification of Mosquito Specimens Using Image Processing Techniques , Mona Minakshi

Models of Secure Software Enforcement and Development , Hernan M. Palombo

Functional Object-Oriented Network: A Knowledge Representation for Service Robotics , David Andrés Paulius Ramos

Lung Nodule Malignancy Prediction from Computed Tomography Images Using Deep Learning , Rahul Paul

Algorithms and Framework for Computing 2-body Statistics on Graphics Processing Units , Napath Pitaksirianan

Efficient Viewshed Computation Algorithms On GPUs and CPUs , Faisal F. Qarah

Relational Joins on GPUs for In-Memory Database Query Processing , Ran Rui

Micro-architectural Countermeasures for Control Flow and Misspeculation Based Software Attacks , Love Kumar Sah

Eﬃcient Forward-Secure and Compact Signatures for the Internet of Things (IoT) , Efe Ulas Akay Seyitoglu

Detecting Symptoms of Chronic Obstructive Pulmonary Disease and Congestive Heart Failure via Cough and Wheezing Sounds Using Smart-Phones and Machine Learning , Anthony Windmon

Toward Culturally Relevant Emotion Detection Using Physiological Signals , Khadija Zanna

Theses/Dissertations from 2019 2019

Beyond Labels and Captions: Contextualizing Grounded Semantics for Explainable Visual Interpretation , Sathyanarayanan Narasimhan Aakur

Empirical Analysis of a Cybersecurity Scoring System , Jaleel Ahmed

Phenomena of Social Dynamics in Online Games , Essa Alhazmi

A Machine Learning Approach to Predicting Community Engagement on Social Media During Disasters , Adel Alshehri

Interactive Fitness Domains in Competitive Coevolutionary Algorithm , ATM Golam Bari

Measuring Influence Across Social Media Platforms: Empirical Analysis Using Symbolic Transfer Entropy , Abhishek Bhattacharjee

A Communication-Centric Framework for Post-Silicon System-on-chip Integration Debug , Yuting Cao

Authentication and SQL-Injection Prevention Techniques in Web Applications , Cagri Cetin

Multimodal Emotion Recognition Using 3D Facial Landmarks, Action Units, and Physiological Data , Diego Fabiano

Robotic Motion Generation by Using Spatial-Temporal Patterns from Human Demonstrations , Yongqiang Huang

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Topics for Theses and Projects

Our topics for bachelor and master theses as well as projects are from the areas of software engineering and programming languages. The concrete topics for theses are based on our research interests and allow students to make their own contribution to a field of research. Our main target group are students of Computer Science, Software Engineering, Media Informatics, Artificial Intelligence, and Cognitive Systems.

This page offers a selection of topics and subject areas. For more information, please do not hesitate to contact the respective supervisor. In addition, we are open to your own suggestions for topics.

(Legend - B: Bachelor Thesis, M: Master Thesis, P: Project)

Outline of a Bachelor or Master Thesis

Topic and proposal.

After the initial contact, the topic and the contents of the Bachelor or Master thesis are agreed upon and recorded in a proposal. The proposal has proven to be a valueable tool for risk minimization and planning of the thesis and includes:

the context of the thesis
the research question
the state of research
the solution idea
the methodology and the evaluation plan

Much of the proposal can be reused in the final thesis.

Interim Presentation

In the course of the interim presentation, students learn to present and communicate results. In addition, the interim presentation can be used to reflect on the status of the thesis so far and to respond to feedback.

Submission and Final Presentation

The submission of the final thesis and the final presentation formally conclude the bachelor or master thesis.

(Legend - B: Bachelor thesis, M: Master thesis, P: Project)

Human-centered Software Engineering

Software variability and evolution, constraint handling rules, dynamic and static program analysis, p/b/m: static analysis for reflective or self modifying code (sihler, tichy).

P/B/M: Static Analysis for Reflective or Self Modifying Code (Sihler, Tichy)

Context Most static analyzers rely on static dataflow analysis to detect problems like possible null pointer exceptions in code [5]. However, analyzers are usually unable to handle reflective or self-modifying code (e.g., Java Agents , Java Reflection , R's meta-functions [6]. While this is fine for languages in which such constructs are rare or discouraged, they are 1) used quite often in the R programming language and 2) pose an interesting problem to solve.

Problem As a basis [3], I have previously created the static dataflow analyzer and program slicer flowR for the R programming language. However, it is currently unable to deal with these reflective and code-modifying constructs like eval , body , quote , and parse in its static dataflow graph. While handling such constructs statically may be infeasible in the general case, we first want to focus on a set of common cases that appear frequently.

Develop a concept to represent code-modifications and lazy evaluation (within flowR 's dataflow graph). For example, to represent a function that has the default values of its arguments or the contents of its body modified.
Create a proof of concept implementation for this concept in flowR .

[RESERVED] P/B/M: Dynamic Dataflow Analysis for R Programs (Sihler, Tichy)

Dataflow analysis is a very useful and important technique, used, for example, as part of compiler optimizations [1,2] and program comprehension techniques (e.g., slicing [3] or debugging [4]).

Although there is no single dataflow analysis (each analysis answers a slightly different question), dataflow analyzers usually identify how variables in a program relate to each other (e.g., which definitions a variable read my refer to).

Dataflow Analyzers can be split into:

static analyzers if they use only the source code of a program as input, and
dynamic analyzers if they use a specific program execution as input.

While static analysis is usually harder, it has lower application constraints as 1) it does not require inputs (from users, files, network-messages, ...), and 2) we do not have to deal with getting a potentially unknown program running. However, dynamic analyzers are usually much more valuable during debugging as they know the path the program took, the potential user inputs, the contents of external files, and more.

Within my master's thesis [3] that is now the basis of my PhD, I have created the static program slicer flowR for the R programming language, which includes a static dataflow analyzer. However, it offers no dynamic dataflow analysis and does not even attempt to run the respective input program.

Enrich flowR 's existing pipeline of parsing , normalizing , static dataflow extraction , static slicing , and code reconstruction with a dynamic dataflow analysis step.
Given a program (for starters without any external dependencies), the dynamic analysis should be able to determine the execution trace of the program (e.g., branches taken, loops entered and iteration requiered) with the help of R's debugging capabilities and active bindings [5].
From that, it should be able to infer which variable references read which values (e.g., which definition of a variable was read), what functions have been called, ...
The planned evaluation is to compare the results of the dynamic analysis with the results of the static analysis and to determine the differences.
R, Active Bindings

Contact and More

If you are interested and/or have any questions, feel free to contact me any time. We can discuss the topic further and try to adapt it to your personal preferences. Florian Sihler

[RESERVED] P/M: Can ChatGPT Be Used as a Linter? (Sihler, Tichy)

Static Program Analysis is a well-researched field [1,2], useful in various domains like compiler optimizations [3] and linting [4]. However, static analysis is unable to find semantic smells and bugs and requires a lot of work to set up. On the other hand, current large language models (LLMs, like ChatGPT) can quickly answer questions about code and find (potential) semantic and syntactic bugs, with an easy-to-use interface and setup required.

Even though LLMs are easy to use and quick to give an answer, this answer is not always correct [5]. Furthermore, with their hype being relatively new, there is not much research on how their hallucinations hinder linting tasks or make them outright harmful. To address that, we want to analyze common smells and errors in real-world code (including those that common linters can not find), synthetically generate code with these smells and errors, and then analyze how well LLMs can detect as well as "fix" them.

Identify common smells and errors in real-world R code.
Synthetically generate code with these smells and errors.
Analyze/Classify how well LLMs can detect and fix those problems.
García-Ferreira et al., Static analysis: a brief survey, 2016
Anjana Gosain et al., Static Analysis: A Survey of Techniques and Tools, 2015
Hester et al., lintr: A 'Linter' for R Code, 2023
Zhang et al., Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models, 2023

[RESERVED] P/B/M: Pointer Analysis for Static Dataflow (Sihler, Tichy)

Context Dataflow analysis is a very useful and important technique, used, for example, to

allow compiler optimizations [1,2],
to aide program comprehension (e.g., [3] or debugging [4]), and
perform code analysis (e.g., to locate possible null pointer exceptions [5]).

A static dataflow analyzer takes the source code of a program as its input and identifies how variables in a program relate to each other (e.g., which definitions a variable read my refer to).

However, this can happen on arbitrary granularity levels. For example, when reading a single cell of an array, a coarsely grained analyzer may refer to any potential write to the array, while a more detailed analysis could restrict the definitions to those that modify the respective entry.

Problem Within my master's thesis [3], which is now the basis of my PhD, I have created the static program slicer flowR for the R programming language, which includes a static dataflow analyzer. However, it does currently not differentiate the individual cells of arrays or the attributes of an object (i.e., it does not analyze pointers) [6].

Differentiate Cells of a Vector with constant access
Differentiate Data-Frames, Slots, and other pointer-types
Track Aliases to identify when pointers relate to each other
Evaluate the achieved reduction in the size of the resulting slices
M. Hind. Pointer Analysis: Haven’t We Solved This Problem Yet?

Relaxed Conformance Editing

M: freedom vs. restrictions: where is the sweet spot of graphical modeling tools.

Graphical modeling is a widely used task in software and systems engineering. Similar to how an IDE assists with programming, graphical modeling tools are intended to help create models as efficiently as possible. Basically, two types of graphical modeling tools can be distinguished: Either the tool is tailored to a graphical language and restricts the user in drawing in such a way that only syntactically correct models can be drawn (correct-by-constructionn approach), or one has a pure drawing tool that offers no language-specific support but allows maximum freedom. As so often, the optimum lies somewhere in between.

In this master thesis, a prototypical implementation of a graphical modeling tool in React is to be adapted in such a way that it is possible to turn various support mechanisms (and also restrictions) on or off. A user study will then be conducted with this customizable tool, with the goal of finding the sweet spot between maximum restriction and maximum freedom. In order not to make the study too large, only a few useful combinations will be compared.

Familiarization with the corresponding tool
Development and implementation of meaningful support or restriction options
Conducting a user study (study design, creating user tasks, implementation, evaluation)

Needed skills

Javascript/Typescript knowledge
Experiences with React
Interest in usability and study design

Self-adaptive Systems

P: develop visualization for self-adaptive cloud systems (straub, tichy).

Self-Adaptive systems are systems that adjust themselves to maintain or improve their performance in response to changes in their environment and operational conditions, thereby ensuring continued effectiveness, reliability, and efficiency. Self-adaptive systems are diverse and multifaceted, with applications extending across numerous fields. In our project, we concentrate on the cloud-native domain, with a special emphasis on the explainability aspect of self-adaptation. This involves delving into how these systems can not only adjust autonomously to changing conditions but also provide transparent and understandable explanations for their adaptations, ensuring clarity and trust in their operations.

Understanding the intricacies of self-adaptive systems, particularly in the cloud-native space, is a complex task. The autonomous adjustments these systems make in response to environmental changes can be intricate and opaque. This complexity underscores the necessity for effective visualization strategies. Visualizations can range from simple schematic diagrams that illustrate system workflows, to advanced interactive visualizations that provide real-time insights into system dynamics. By employing visualization techniques like this, we aim to make the processes of self-adaptation in cloud-native systems not only more transparent but also more accessible to a broader audience, enhancing comprehension and facilitating informed oversight.

In this project you will integrate such an visualization approch. The implementation language is Typescript.

P: Develop Visualization for Self-Adaptive Cloud Systems (Straub, Tichy)

M: Data-Queries for Basic Explanations by LLMs (Straub, Tichy)

Self-adaptive systems represent a significant leap in technology. These systems are capable of adjusting their behavior in response to changes in their environment or in their own state. This adaptability makes them incredibly powerful, yet also complex. Large Language Models (LLMs) have shown remarkable proficiency in generating human-like text, offering potential as tools for simplifying and explaining complex technical concepts We plan to use the capabilities of LLMs to explain these complex self-adaptive systems. However, a significant challenge arises: how can these LLMs access detailed and up-to-date information about the self-adaptive systems they are explaining?

In this Master thesis, the different possibilities of enabeling the LLM to access the required data need to be explored. An example would be Retrieval Augmented Generation (RAG), which is already implemented in Libraries like LangChain. A proptotype implementation has to be created and connected with the MENTOR project. Finally, the appraoch has to be evaluted.

Tasks/Goals

Familiarization with the possible approaches
Implement a Prototype
Evaluate the Implementation

Software Configuration

Formal languages for variability, p/b/m: survey on sharing metrics for formal variability languages (bittner, thüm).

When it comes to developing multi-variant software systems, software product-line engineering and analyses avoid duplicate computational effort by exploiting similarities between the different software variants. For example, in the above example the statement "lol;" is shared between the software variants including or excluding feature A . To describe and analyze variability, formal languages have been proposed that allow semantic-preserving translations to refactor expressions to increase sharing. However, the notion of having "more sharing" in a formula remains vague most of the time or different metrics have been used in the literature to measure sharing.

Literature survey on sharing metrics (for formal variability languages)
Qualitative comparison between sharing metrics
Definition of new metrics if necessary
Perhaps empirical evaluation of different metrics for real systems

Related Work

The Choice Calculus

A Formal Framework of Software Product Line Analyses

Paul Bittner

Thomas Thüm

Constraint-Programmierung und Constraint Handling Rules

P/b/m: graph tool for mason marks (frühwirth).

We are developing a rule-based implementation of a tool to analyse and generate graphs. It is used in the domain of mason’s marks. For thousands of years, stonemasons have been inscribing these symbolic signs on dressed stone. Geometrically, mason’s marks are line drawings. They consist of a pattern of straight lines, sometimes circles and arcs. We represent mason’s marks by connected planar graphs. Our prototype tool for analysis and generation of graphs is written in the rule-based declarative language Constraint Handling Rules. One or several of following features could be improved in this proposed work:

Goals/Tasks

improve the vertex-centric logical graph representation, i.e. adding arcs, colors, labels,
encode existing mason marks either by hand, from images or import from existing databases,
recognize (sub)graphs and patterns in a graph, in particular (self-)similarities and correlations between graphs,
perform classical algorithms on graphs like shortest paths,
derive properties and statistics from graphs,
generate (randomly or exhaustively) and draw graphs from given constrained subgraphs based on properties and statistics.
Thom Frühwirth: Rule-Based Drawing, Analysis and Generation of Graphs for Mason's Mark Design, 2018

Prerequesites

Good knowledge of Prolog and CHR
Lecture Rule-based Programming

Thom Frühwirth , Sascha Rechenberger

P/B/M: Graph Tool for Mason Marks (Frühwirth)

P/B/M: Justifications in CHR for Logical Retraction in Dynamic Algorithms (Frühwirth)

When algorithms are written in CHR, constraints represent both data and operations. CHR is already incremental by nature, i.e. constraints can be added at runtime. Logical retraction adds decrementality. Hence any algorithm written in CHR with justifications will become fully dynamic. Operations can be undone and data can be removed at any point in the computation without compromising the correctness of the result.

A straightforward source-to-source transformation can introduce justifications for user-defined constraints into the CHR. Then a scheme of two rules suffices to allow for logical retraction (deletion, removal) of constraints during computation. Without the need to recompute from scratch, these rules remove not only the constraint but also undo all consequences of the rule applications that involved the constraint.

Further work should investigate implementation, dynamic algorithms and application domains of CHR with justifications:

research how logical as well as classical algorithms implemented in CHR behave when they become dynamic.
improve the implementation, optimize and benchmark it.
support detection and repair of inconsistencies (for error diagnosis), - support nonmonotonic logical behaviors (e.g. default logic, abduction, defeasible reasoning).
Thom Frühwirth: Justifications in Constraint Handling Rules for Logical Retraction in Dynamic Algorithms.
CHR translator

Prerequisites

Interest to learn about formal analysis methods of rule-based languages

P/B/M: Justifications in CHR for Logical Retraction in Dynamic Algorithms (Frühwirth)

B/M: Non-Termination Analysis of Recursive Rules (Frühwirth)

Extend the analysis techniques and/or the associated tool from the following two research papers:

A dynamic program analysis of the non-termination problem for recursion in the Constraint Handling Rules (CHR) language: A simple program transformation for recursive rules in CHR was introduced that produces one or more adversary rules. When the rules are executed together, a non-terminating computation may arise. It was shown that any non-terminating computation of the original rule contains this witness computation.

Thom Fruehwirth: A Devil's Advocate against Termination of Direct Recursion, PPDP 2015.
Transformation Tool available (use "Devil" options).

A static program analysis of the non-termination problem for recursion in the Constraint Handling Rules (CHR) language: Theorems with so-called misbehavior conditions for potential non-termination and failure (as well as definite termination) of linear direct recursive simplification rules are given. Logical relationships between the constraints in a recursive rule play a crucial role in this kind of program analysis.

Thom Fruehwirth: Why Can’t You Behave? Non-Termination Analysis of Direct Recursive Rules with Constraints, RuleML 2016
Lecture "Rule-Based Programming"

B/M: Non-Termination Analysis of Recursive Rules (Frühwirth)

P/B/M: Localized Constraint Stores (Frühwirth)

In distributed computation, data and processes are distributed over a network of stores and processing units. In a constraint-based programming language paradigm this means that constraints have to be annotated with spatial information defining their whereabouts. Obvious topologies are a distinction between global and local stores as well as trees. Localized constraints can also be used for so-called reified (or meta-)constraints (e.g. https://sicstus.sics.se/sicstus/docs/4.0.8/html/sicstus/Reified-Constraints.html ), to store justifications and for spatial reasoning.

In Constraint Handling Rules (CHR), there is a simple source-to-source program transformation that adds local annotations to constraints.

The scope of the work includes implementation of such a transformation, their application and/or static program analysis to derive distribution patterns, i.e. to localize constraint computation while minimizing communication overhead.

Edmund S. L. Lam, Iliano Cervesato and Nabeeha Fatima: CoMingle: Distributed Logic Programming for Decentralized Mobile Ensembles. In proceedings of International Conference on Distributed Computing Techniques (Coordination'15)
A. Raffaeta and T. Frühwirth: Spatio-Temporal Annotated Constraint Logic Programming, Third International Symposium on Practical Aspects of Declarative Languages (PADL'01), Las Vegas, USA, March 2001.
T. Frühwirth: Entailment Simplification and Constraint Constructors for User-Defined Constraints, Third Workshop on Constraint Logic Programming (WCLP 93), Marseille, France, March 1993.

P/B/M: Localized Constraint Stores (Frühwirth)

P/B/M: Invariant Checking and Generation by Confluence and Completion (Frühwirth)

Invariants (or assertions, properties, conditions) annotate program text and express static and dynamic properties of a program's execution. Invariants can be expressed as logical relations (predicates) over the program's variables. In the context of constraint-programming and Constraint Handling Rules (CHR), they amount to constraints. These can be readily added to the program to enforce the invariants. By comparing the program with and without invariants expressed as constraints using established program analysis techniques for CHR, namely confluence and program equivalence, we can check if the invariants hold in the program.

Furthermore, invariants can be strenghened and even be generated by adapting the so-called completion method (that is normally used to generate additional rules to make a CHR program confluent).

Johannes Langbein, Frank Raiser, Thom Frühwirth: A state equivalence and confluence checker for CHR. In P. Van Weert and L. De Koninck, editors, CHR '10: Proc. 7th Workshop on Constraint Handling Rules. K.U.Leuven, Department of Computer Science, Technical report CW 588, July 2010.
Lecture "Rule-based Programming"

B/M: Program Slicing by Confluence and Completion (Frühwirth)

Program slicing is a program anaylsis technique whereby one extracts properties and relationships of variables in a program by removing from the program all statements that do not effect the assignments of the variables. In the context of constraint programming and Constraint Handling Rules that deal with logical relations (predicates) this amounts to the logical operation of variable projection. This means that we remove unwanted variables that are not of interest from the program by program transformation. This transformation can be accomplished by adapting the technique of "completion". It is usually used to make a non-confluent program confluent.

Johannes Langbein, Frank Raiser, Thom Frühwirth. A state equivalence and confluence checker for CHR. In P. Van Weert and L. De Koninck, editors, CHR '10: Proc. 7th Workshop on Constraint Handling Rules. K.U.Leuven, Department of Computer Science, Technical report CW 588, July 2010.
Lecture "Rule-based Programming

B/M: Program Slicing by Confluence and Completion (Frühwirth)

M: Repeated Recursion Unfolding for Super-Linear Speedup (Frühwirth)

Repeated recursion unfolding is a new approach that repeatedly unfolds a recursion with itself and simplifies it while keeping all unfolded rules. Each unfolding doubles the number of recursive steps covered. This reduces the number of recursive rule applications to its logarithm at the expense of introducing a logarithmic number of unfolded rules to the program. Efficiency crucially depends on the amount of simplification inside the unfolded rules. A super-linear speedup is provably possible in the best case, i.e. speedup by more than a constant factor. The optimization can lower the time complexity class of a program.

The goal is to implement this optimization scheme as a program transformation in the programming language of choice. If necessary, the scheme should be transferred from recursion to iteration constructs such as loops.

Thom Frühwirth: Runtime Repeated Recursion Unfolding in CHR: A Just-In-Time Online Program Optimization Strategy That Can Achieve Super-Linear Speedup, 2023 (DOI: 10.48550/arXiv.2307.02180)

Prerequisite

Excellent knowledge and programming skills in the choosen programming language.

M: CHR Abstract Machine (Rechenberger, Frühwirth)

Prolog (WAM) and then Java (JVM) popularized the concept of an abstract (or virtual) machine to implement programming languages in a systematic, portable yet efficient way. Such a machine shall be developed for CHR.

Define the abstract code instructions for CHR and to implement them.

Lecture Compiler Construction (Compilerbau) (optional but very helpful)

M: Structured Literature Research on CHR Implementations (Rechenberger, Frühwirth)

The declarative programming language Constraint Handling Rules (CHR) is designed as a language extension to other, not necessarily declarative programming languages. There are existing implementations for Prolog , C , Java , JavaScript , and others. We want to conduct a Structured Literature Research (SLR) on existing implementations, to get an exhaustive overview over implementation techniques and patterns.

Conduct an SLR on papers on existing CHR implementations
Find CHR implementations without a scientific publication on public repositories on, e.g. GitHub, GitLab, ...
Identify and document common architectures, implementation techniques and patterns
Get an exhaustive overview over existing and historic CHR implementations
T. Frühwirth: Constraint Handling Rules - What Else?
S. Sneyers et al.: As time goes by: Constraint Handling Rules
P. Van Weert: Efficient Lazy Evaluation of Rule-Based Programs
P. Van Weert, P. Wuille, T. Schrijvers, B. Demoen: CHR for Imperative Host Languages
F. Nogatz, T. Frühwirth, D. Seipel: CHR.js: A CHR Implementation in JavaScript
Dragan Ivanović: Implementing Constraint Handling Rules as a Domain-Specific Language Embedded in Java
Interest in programming languages and (to some extend) compiler construction.
Good knowledge of multiple programming languages and paradigms.

Sascha Rechenberger

B/M: Failure in FreeCHR (Rechenberger, Frühwirth)

FreeCHR aims to be a sound and complete embedding framework for CHR. Hence, we want to extend the operational semantics by possibly failing computation, as they are necessary for the development of constraint solvers and other software.

Extend the very abstract operational semantics of FreeCHR, such that they can model possibly failing computations
Prove soundness and completeness w.r.t. the v ery abstract operational semantics of CHR
Optional : Develop an execution algorithm and prove correctness w.r.t. the new operational semantics
S. Rechenberger, T. Frühwirth: FreeCHR - An Algebraic Framework for CHR Embeddings
T. Frühwirth: Constraint Handling Rules (ISBN: 978-0-521-87776-3 )
Interest in formal aspects of programming languages
Interest/knowledge in category theory and/or type systems is recommended
Knowledge in functional programming, especially monads

B/M: Stateful Computations in FreeCHR (Rechenberger, Frühwirth)

FreeCHR aims to be a sound and complete embedding framework for CHR. Hence, we want to extend the operational semantics by stateful computation, as they are common in many programming languages.

Extend the very abstract operational semantics of FreeCHR, such that they can model stateful computations

M: Abstract Operational Semantics for FreeCHR (Rechenberger, Frühwirth)

FreeCHR aims to be a sound and complete embedding framework for CHR. The abstract operational semantics are a next step in the direction of modelling the necessities of real-life programming languages. Hence, we want to re-formalize them in the context of FreeCHR and establish soundness and completeness.

Formalize the abstract operational semantics ω t of CHR in the terms of (side-effect free) FreeCHR
Prove soundness and completeness of the new definition

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Chair of Software and Systems Engineering
TUM School of Computation, Information and Technology
Technical University of Munich

Theses and Projects

We are always looking for enthusiastic students willing to work on our research projects. We are also open for your own ideas. Just fill out this form . We are going to contact you as soon as possible.

Open Topics

We don't necessarily advertise all current research topics. Use the websites of our scientific staff to obtain information about their research.

Or propose your own topic: application

Bachelor's / Master's Thesis	Lang.	Type
Search-Based Robustness Testing for Deep Learning Systems	EN/DE	GR
Generation and Analysis of Metamorphic Test Cases for Neural Networks	EN/DE	any
Mutation Testing for Microservice Systems	EN	MA

Title	Type	Advisor
Anomaly Detection of Connectivity Events in the Automotive Domain	Master's
Enhancing Precision and Speed in Regression Test Selection by Identifying Safe Code Changes	Master's
Navigating the Neural Maze: A Strategic Guide for Evaluating and Improving the Robustness of Deep Neural Networks	GR
Test Case Prioritization using Latent Space Properties of Deep Neural Networks (DNNs)	Bachelor's
Scenario Parameters for Testing Reactive and Predictive Swarm Controllers	Bachelor's
Semantic Clustering and Visualization of University Modules Using NLP	Bachelor's
Creating an Automated Course Recommendation System for Students	Bachelor's
	Bachelor's
Analyzing Faults in Microservice Systems	Bachelor's
Evaluating ChatGPT for Software Testing	Master's
Effectiveness of Search-Based Testing on a Deep Reinforcement-Learned Swarm Controller	Bachelor's	,
Supporting Developers in Repairing Flaky Tests in CI	Master's
Improving Robustness of Semantic Segmentation for Autonomous Driving	Master's
Data Augmentation in the Latent Space for Boosting Performance on Radar-Based Presence Sensing Applications	Master's

Title	Type	Year
Benchmark for Autonomous Vehicle Testing	Guided R.	2024
Search Space Creation for Testing Autonomous Driving Systems	Master's	2024
Metamorphic Testing of Radar-Based Deep Learning Object Detectors	Master's	2024
Investigating Latent Space Testing Boundaries in Deep Learning Models	Bachelor's	2024
Prioritizing Regression Tests for Manual Testing of Mobile Applications	Master's	2024
Enhanced Debugging of Flaky Test Cases	Master's	2024
A Study on Flaky Tests	Bachelor's	2024
Comparing Approaches for Flaky Test Research	Bachelor's	2024
Fehlerhandling in Microservice Architekturen	Bachelor's	2024
A Fault Injection Method for Evaluating Test Generation Frameworks for Microservices	Master's	2024
Optimizing Relevant Quality Attributes of Collaborating Autonomous UAVs	Bachelor's	2024
Test Case Generation for Robust Behavior During Component Failures in Collaborating Autonomous Aerial Vehicles	Master's	2024
Fuzzing Algorand Smart Contracts	Master's	2024
Regression Test Selection for Rust	Guided R.	2023
Increasing Data Sharing Appeal Through Incentive Mechanisms	Master's	2023
Evaluation of a Metric for Measuring Program Code Change	Master's	2023
An Empirical Investigation of Chilling Effects Induced by Workplace Software	Master's	2023
Static Analysis of Algorand Smart Contracts	Bachelor's	2023
Applying Safety Testing to Collaborative Unmanned Aerial Vehicles	Bachelor's	2023
Informing Consent Decisions to Usage of Health Data in an Inverse Transparent Workplace	Bachelor's	2023
Non-repudiable Data Exchange With Blockchain	Bachelor's	2023
Automated Smart Contract Quality Assurance	Bachelor's	2023
Automatically Detecting Flaky End-to-End Test Failures Using Code Coverage	Master's	2023
Automated Fault Localization in Matlab Simulink Models	Bachelor's	2023
Model-Based Diagnosis on Cyber-Physical Systems	Bachelor's	2023
Automatic Failure Categorization – An Ablation Study	Master's	2023
Reducing Effort for Flaky Test Detection Through Resource Limitation	Bachelor's	2023
Tool-Supported Reconstruction of Software Architectures	Master's	2023
Applicability of Blockchain Technologies When Handling Personally Identifiable Information	Bachelor's	2023
Privacy Boosts: Benevolent Educational Interventions for Data Subjects’ Privacy Behaviour	Bachelor's	2023
Analyzing the Effectiveness of Rerunning Tests for Detecting Flaky UI Tests	Bachelor's	2022
Scenarios in the Intersection Context - Data-Driven Derivation and Description	Master's	2022
Multi-Party End-to-End Encryption for the Inverse Transparency Toolchain	Master's	2022
Integrating Defect Class Predictions into the Review Workflow of Testers	Master's	2022
Practical Application of Flaky Test Identification and Classification for Root Cause Analysis in the Context of Continuous Integration	Master's	2022
Design of a Zero Trust Infrastructure for the Execution of GDPR Rights (Entrepeneurial Masterclass)	Master's	2022
Data Owner Benefit-Driven Design of People Analytics	Guided R.	2022
Reducing Effort for Flaky Test Detection through Dynamic Program Analysis	Bachelor's	2022
Incentive Mechanism Design for an Inverse Transparent Environment	Master's	2022
Metamorphic Testing of LiDAR/RADAR Obstacle Detection Systems	Master's	2022
Latent Space-Based Test Case Generation of Naturally Occurring Environmental Conditions for Traffic Sign Classifiers	Master's	2022
Search-Based Robustness Testing for Deep Learning Computer Vision Systems	Master's	2022
Empirical Analysis of Flaky Tests in Practice - An Automotive Case Study	Bachelor’s	2022
Model-based Fault Localization for System-level Testing of Cyber-Physical Systems	Bachelor’s	2022
Failure Cause Analysis in Regression Testing for Automotive Software	Bachelor’s	2022
Search-Based Robustness Testing for Deep Learning Computer Vision Systems	Master's	2022
Dependency-Injection-Aware Regression Test Selection	Bachelor's	2022
Regression Test Selection for End-to-end Testing in Distributed Multi-language Web Applications	Master's	2022
Determining Root Causes of Flaky Tests Using System Call Analysis	Master's	2022
Detecting Code Smells using Graph Neural Networks	Bachelor's	2022
Metamorphic Testing of LiDAR/RADAR Obstacle Detection Systems	Master's	2022
Blockchain-based Logging for the Inverse Transparency Toolchain	Bachelor's	2022
Inverse Transparency for Cloud Architectures	Bachelor's	2022
Scraping online documentation of Ardupilot UAV system to generate a knowledge-based causal graph	Bachelor’s	2022
Automatic derivation of traffic scenario instance descriptions for testing automated and autonomous driving systems in the highway context	Bachelor's	2022
Automatic derivation of traffic scenario instance descriptions for testing automated and autonomous driving systems in the intersection context	Bachelor's	2022
Building a UAV Flight Data Set	Bachelor’s	2022
Investigating Inter-Class Attributes for Capturing Software Maintainability	Master's	2022
Latent Space-Based Test Case Generation of Naturally Occurring Environmental Conditions for Traffic Sign Classifiers	Master's	2022
Evaluating the Impact of Knowledge Aggregation with Subjective Logic on the Overall System's Adaptivity in Multi-Agent Self-Adaptive Cyber-Physical Systems	Master’s	2022
Designing a Usable Inverse Transparency Dashboard	Master's	2022
Evaluating the Impact of the Base Rate in Knowledge Aggregation with Subjective Logic in Multi-Agent Self-Adaptive Cyber-Physical Systems	Bachelor’s	2021
Defect Prediction in Open Source Software Using Workflow Metrics	Master's	2021
Quantifying Adequacy of Software-Programs	Master's	2021
IT security awareness: comparing inovulation methods	Master's	2021
Qualitative Metrics for the Assessment of Intrusion Detection on the Controller Area Network	Master's	2021
Scaling Self-Checksumming Combined with Virtualization Obfuscation to Real-World Software	Bachelor's	2021
Software Integrity Protection Versus Machine Learning Attacks	Master's	2021
A Framework for Engineering Self-Adaptive Cyber-Physical Systems	Master's	2021
Detecting Smells in Data Models	Master's	2021
Identifier Dictionary	Bachelor's	2021
Configuration of Static Analysis Tools for Effective Bug Detection	Master's	2021
Tamper-proof Inverse Transparency Logs with Intel SGX	Bachelor's	2021
Inverse Transparency in High Data Security Environments	Bachelor's	2021
Scaling Self-Checksumming Combined with Virtualization Obfuscation to Real-World Software	Bachelor's	2021
Model-based Fault Localization for Cyber-Physical Systems with Limited Observability	Bachelor’s	2021
Applying Inverse Transparency to Intercompany Contexts	Bachelor's	2021
Co-Simulation-based Experimental Platform for Cyber-Physical Systems	Bachelor's	2021
Algorithmic Accountability for Inverse Tranparency	Master's	2021
A Super-Metric for Measuring in the Context of Software Architecture and Software Programming	Master's	2021
Enabling Sensible People Analytics with Inverse Transparency	Master's	2021
Using Text- and Image-Based Machine Learning to Predict Software Quality	Master's	2021
Assessing the Reliability of Optimization Algorithms for Detecting Worst-Case Situations for UAVs	Bachelor's	2021
A Systematic Assessment of Machine Learning-Based Intrusion Detection Systems for the Automotive Domain	Bachelor's	2021
Automatisiertes Test Management für Hardware-in-the-loop Prüfstände im Automobilumfeld	Bachelor's	2021
Systematic Evaluation and Refinement of Automotive Intrusion Detection Systems	Master's	2021
Evaluation Framework for a Self-Adaptive Cyber-Physical System on an Example of a Multi-Robot System	Master’s	2021
Incident Response Automation: Challenges and Opportunities for Automated Course of Action Deployment	Master’s	2021
Generation of OVAL Checks for Security-Configuration Assessments	Bachelor’s	2021
Automatic Selection of Security-relevant Configurations	Bachelor’s	2021
A study on failure situation exploration and the benefits for iterative diagnosis	Bachelor's	2021
Using machine learning to predict software vulnerabilities in low-level code	Master's	2021
Regression Test Optimization in Microservices by Linking Distributed Tracing with Code Instrumentation	Master's	2021
Run-time Reasoning and Solving Conflicting Observations with Subjective Logic in Multi-Agent Self-Adaptive Cyber-Physical Systems	Master’s	2020
Semantically-Enhanced Failure Diagnosis : Application of Ontology-based Reasoning to an Autonomous Crane System	Master’s	2020
Tracking Jira Data Accesses through the Database Layer	Bachelor’s	2020
An Analysis Plugin Toolbox for Jira Software	Bachelor’s	2020
Methodologically Achieving User Trust	Bachelor’s	2020
Fighting bushfires with Preparation: Prevention of Malware spread using Security-Configuration Guidelines	Bachelor’s	2020
Change-based Test Execution Optimization in the Development Environment	Bachelor’s	2020
Realization of Adaptive System Transitions for Smart Self-Adaptive Cyber-Physical Systems using a Modular Approach with Learned Parameters on an Example of Multi-Robot Collaboration	Master’s	2020
Experimental Derivation of Fitness Functions for Testing Automated and Autonomous Driving Systems in Road Intersection Scenarios	Master’s	2020
Multi-Agent Partially Observable Markov Decision Processes for Planning in Multi-Robot Self-Adaptive Cyber-Physical Systems	Guided R.	2020
Logical Architecture for Engineering Smart Self-Adaptive Cyber- Physical Systems	Guided R.	2020
Anomaly Detection in Multi-Agent Cyber-Physical Systems	Bachelor’s	2020
Automatic and Reproducible Attacks on insecurely configured Systems based on Security-Configuration Rules	Master’s	2020
Automating User Acceptance Tests	Bachelor’s	2020
Assessing the Quality of Data Models	Master’s	2020
Mining Repositories for Automatic Quality Estimations	Bachelor’s	2020
Preventing Repackaging of Android Apps Using Integrity Checking	Master’s	2020
Similarity-based System Trajectory Classification	Bachelor’s	2020
Cornering Cohesion: Investigating new ways to measure cohesion	Master’s	2020
Failure Pattern Recognition based on Test Results in Hardware-in-the-Loop Setups	Master’s	2020
Measuring cohesion and coupling: a comparison of different metrics and their usefulness for software quality analyses	Bachelor’s	2020

Title	Type	Year
Model-driven Monitoring Orchestration For Microservices	Master’s	2019
A Canvas for Causal Modeling	Bachelor’s	2019
A labeling Platform for Source COde	Bachelor’s	2019
Multi-Source Knowledge Aggregation in Subjective Logic	Master’s	2019
Security-Configuration Automation for UNIX	Master’s	2019
Design of an Improved Scapolite Check Mechanism	Bachelor’s	2019
Automatic Security Configuration for Mobile Devices	Bachelor’s	2019
Conflict Scenarios for an Accountability-Enabled Multi-Robot Simulation	Bachelor’s	2019
Path Planning and Consensus Algorithms for an Accountability-Enabled Multi-Robot Simulation	Bachelor’s	2019
Modelling of Attack Trees for Security Assessment of Hardening Mechanisms	Bachelor’s	2019
Building a Framework for Objective Evaluation of Malware Detection Methods	Bachelor’s	2019
Detection of Android Repackaged Malware with Active Learning	Bachelor’s	2019
Resilience of SIP against ML-based attacks	Master’s	2019
Knowledge Discovery from Drone Logs	Master’s	2019
Vectorizing Software for Machine Learning	Master’s	2019
Identification of generated code parts	Bachelor’s	2019
Simplifying Configuration Management in the Automotive Industry	Master’s	2019
Securing Microservice Cluster Management Cockpit using Blockchain	Master’s	2019
Public key Tracing Framework using Blockchain	Master’s	2019
Software protection composition framework	Master’s	2019
Design and Implementation of ROS-Based Simulated Multi-Robot Systems for Data Collection	Master’s	2019
Runtime Verification of Dynamic Architectures	Master’s	2018
Constraint size thresholding in symbolic execution for broader path coverage	Bachelor’s	2018
Fast and parallel compositional fuzzing aided by symbolic execution	Bachelor’s	2018
Design and Evaluation of an Agile Software Development Process for Space Applications	Master’s	2018
Real-Time Remote Intrusion Detection	Master's	2018
Comparing Stimulation Techniques for Detecting Android Piggybacked Malware	Master’s	2018
Software Protection Ontology Visualization	Bachelor’s	2018
Automatic Repackaging of Android Applications	Bachelor’s	2018
Self-adaptive cyber-physical systems utilizing different machine learning techniques	Guided Research	2018
Analysis and Detection of Repackaged Malware Behavior	Master’s	2018
Testing Advanced Driver Assistance Systems: Procedural Environment Generation for Simulated Test Scenarios	Master’s	2017
Impact factors for severity assessment of bugs discovered via compositional symbolic execution	Master’s	2017
Anomaly detection and prediction in distributed software systems using machine learning	Bachelor’s	2017
Repackaged Malware Detection in Android	Bachelor’s	2017
Dynamic Taint Analysis for Java-based applications	Bachelor’s	2017
Benchmarking Symbolic Execution Tools on Custom Block Ciphers	Bachelor’s	2017
Search-Based Procedural Environment Generation for Simulated Test Scenarios	Guided Research	2017
Visualization of Causality Algorithms	Master’s	2017
Qualifizierung von Template-basierendem C++-Code	Bachelor’s	2017
Evaluierung suchebasierter Verfahren zur automatischen Generierung von Testfällen für kontinuierliche Systeme	Master’s	2017
Runtime Service Adaption in the Context of Composed Usage Control Driven Services	Bacherlor’s	2017
Prediction of automated deobfuscation & tampering time using machine learning	Master’s	2017
iOS Application Hardening via Obfuscation	Master’s	2017
Detecting Process Memory Tampering	Bachelor’s	2016
Compositional analysis for exposing vulnerabilities - A symbolic execution approach	Master’s	2016
Building Accountability Mechanisms into the Roomba iRobot	Bachelor’s	2016
Automated Attack Planning using a Partially Observable Model for Penetration Testing of Industrial Control Systems	Master’s	2016
Automatic Generation of Secure and Usable Mnemonic Passphrases	Master’s	2016
State of the Art Survey of Security Incident Management compliant to ISO 27001	Guided Research	2016
A Reliable Automated Vulnerability Check in Continuous Integration	Bachelor’s	2016
Botnet Battlefield	Master’s	2016
Tool Support for Social Engineering Threat Analysis	Master’s	2016
Software Protection by Self-Checking	Master’s	2016
A Study of Checking Equivalence of Software Programs	Bachelor’s	2015
Malware Detection with Temporal Quantitative Data Flow Graphs	Master’s	2015
Fault detection with symbolic execution for Java	Master’s	2015
A Comparative Study of Secret Sharing Schemes	Master’s	2015
Combining fault-based and model-based testing for web applications	Bachelor’s	2015
Software Protection by Virtualization Obfuscation	Master’s	2015
A Taxonomy of Browser Hijacking Malware	Guided Research	2015
Metadata Recovery of Transformations from Obfuscated Software via Machine Learning Techniques	Master’s	2015
Enhancing Accuracy for Usage Control Enforcement	Bachelor’s	2015
Composing data-usage-driven Services	Bachelor’s	2015
Securing Data Usage Control Infrastructures	Master’s	2015
Raising the Bar for Automated Attacks against Web Applications using Software Diversity	Master’s	2015
Model Based Development of a Safety AUTOSAR Basic Software Component - NVRAM Manager	Bachelor’s	2015
A Comparative Study of Secret Sharing Schemes	Master’s	2015
Checking Non-Equivalence of Software Programs using Symbolic Execution	Bachelor’s	2015
Regressionstests mit Fehlermodellen	Bachelor’s	2015
Zum Verhältnis von Agilität und Architektur	Master’s	2015
Design and Implementation of “Sealed Search” on Encrypted Data while Maintaining Privacy	Master’s	2015
A Generic Description Language for Fault Models	Bachelor’s	2015
Towards Testing Malware Detection Systems using Behavior Obfuscation	Bachelor’s	2015
Usage Control for Apple iOS	Master’s	2015
Code Transformations and Software Diversity for Improving Software Attack and Analysis Resilience	Master’s	2014
Monitoring Compliance of Third-Party Applications in Online Social Networks	Bachelor’s	2014
Graph-based system profiling and anomaly detection	Master’s	2014
Erstellen einer Fehlerdatenbank mit zugehörigem Pflegeprozess	Master’s	2014
Towards improving data driven usage control precision with intra-process data-flow tracking	Master’s	2014
A Qualitative Study of Indistinguishability Obfuscation	Bachelor’s	2014
Fault-model driven test derivation for controller-based systems	Master’s	2014
Quantitative Data Flow Pattern Mining for Malware Detection	Master’s	2014
Data Usage Control for Office Applications	Master’s	2014
Asset Protection via White Box Cryptography	Master’s	2014
Towards data flow graph based misuse detection at the Windows kernel level	Bachelor’s	2014
A Test Automation Framework for AJAX-based Web Applications	Bachelor’s	2013
A dynamically configurable Policy Information Point	Bachelor’s	2013
Testing Concurrency in Android Apps	Master’s	2013
Dynamic Information Flow Tracking for V8	Master’s	2013
Distributed Usage Control for the mySQL Server	Master’s	2012
Data Usage Control for Google Chrome	Diplomarbeit	2012
Assessment of HTML5 security properties and emerging web security threats	Master’s	2012
Data Usage Control for the Thunderbird Mail Client	Master’s	2012
A Policy Management Infrastructure for Distributed Usage Control	Master’s	2011
Implementation of Usage Control for the Windows API	Master’s	2011
Extending Android with Usage Control Policies	Master’s	2011
A hypervisor-based bus system for inter-level data flow tracking	Master’s	2011
Data Usage Control for a Web Application: The Server	Bachelor’s	2010
Data Usage Control for a Web Application: The Client	Bachelor’s	2010
Bringing Trust to the Cloud	Bachelor’s	2010
Usage Control for Dynamically Loaded Windows Binaries	Bachelor’s	2010

Title	Type	Year
Engineering Bytecode to Detect Implicit Information Flow	Bachelor’s	2009
Usage Control Enforcement with an Application to the X11 Protocol	Master’s	2009
Usage Control Enforcement at the CPU level	Master’s	2009
Usage Control Enforcement at the Java bytecode level	Master’s	2009
Analysis of Usage Control Policies	Master’s	2008
Delegation in Usage Control	Master’s	2008
AXIS-Based Configuration of Services for Usage Control	Studienarbeit	2008
Sicherheitsanalyse einer Webapplikation	Studienarbeit	2007
Policy Evaluation and Negotiation in Distributed Usage Control	Master’s	2007
Translating Usage Control Policies	Studienarbeit	2007
Implementing DRM on a Mobile Phone	Studienarbeit	2007
Monitoring Usage Control Requirements	Master’s	2006
A Taxonomy of Usage Control Mechanisms	Studienarbeit	2006
Definition struktureller Überdeckungsmaße für den Test von Continuous Function Charts	Bachelor’s	2004
Onboard-Testsystem für teilautomatisierte Benutzerfunktionstests im Fahrzeug	Diplomarbeit	2003
Konzeption und prototypische Implementierung einer Software-Diagnose-Infrastruktur im Fahrzeug	Diplomarbeit	2003

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SOFTWARE ENGINEERING

Master Theses

The Software Engineering Research Group offers a number of thesis projects for Master students in various research areas. The goal of a Master’s thesis project is to provide an answer to a relevant research question in software engineering. This typically involves the construction or extension of a prototype tool used to evaluate your research hypotheses and a written thesis to report, interpret, and discuss the results. A thesis project is typically taking 6-9 months full-time work. More information on the procedure for performing a Master’s Thesis project at the University of Klagenfurt and all forms are available at Wissenschaftliche Arbeiten (in German).

Available Projects

List of topics in which we are offering a number of Master Thesis projects:

Automating Software Engineering Tasks
Change Extraction and Change Impact Analysis
Program Analysis
Software Visualization

We also offer a number of Master Thesis projects in collaboration with our industrial partners. Please contact Martin Pinzger or Christian Macho for more information.

Thesis proposal

The first step of any MSc thesis project is to write a thesis proposal. This document serves as a guide during and as a reference for your thesis project. A thesis proposal should contain

Brief introduction into the subject field
Scientific motivation for the project (why is it relevant?)
Research goal and list of (initial) research question(s) that will be addressed
Initial planning and staging of the project – what are the expected deliverables and milestones to reach them, when will you start/end. Deliverables are a prototype of a piece of software, an algorithm, an advice on how to treat a particular problem, a documented architecture, etc.
Risk analysis, or those (external) events that could have an impact on your planning
Contact details for the participants (student, supervisor, and when appropriate also the company supervisor)
Supervision details: generally an n-weekly schedule for meetings to discuss findings and progress that you’ve established togerther with your university (and company) supervisor(s).
When appropriate details regarding intellectual property and allowance (sometimes these are arranged in a separate legal contract)
List of courses that still need to be followed and/or final exams that need to be taken (not so much as guard for entering the thesis phase but to document a potential impact on the planning)

The proposal is written in English so international students can read, and build on, your work. It is important to note that the details and planning are not cast in stone for the complete duration of the thesis project. If initial results show that there are good reasons to improve on the initial ideas, then plans can be changed. In such a case, the proposal can be updated and serve as a track record that documents and motivates such changes.

How to write a Thesis?

Concerning structure and contents you might follow the guideline by Prof. John W. Chinneck’s web site.

Regarding the style of writing a Diploma Thesis we refer the student to the books:

“The Elements of Style”, Strunk and White.
“Writing for Computer Science” of Justin Zobel.

The web site of Prof. Henning Schulzrinne contains further useful hints that should be considered.

Ongoing Thesis Projects

Julian Fragner , Translation of Regular Expressions into Dynatrace Pattern Language, @Dynatrace
Elias Santner , LLM-based Vulnerability Repair for C/C++ Code, @AAU-SERG
Oliver Aartsen , Tuning the Performance of Video Games, @AAU-SERG
Christof Bachmann , Static Change Impact Analysis in Microservice Architecture, @AAU-ZID
Alexander Widmann , Identifying Breaking REST API Changes from a Consumer Perspective, @AAU-SERG

Finished Thesis Projects

Rijad Gerguri , NDiff – Automating notifications for breaking changes by statically analyzing ASP.NET Core Web API source code, July 2023
Christian Wuggenig , Web-based knowledge transfer from R&D to Failure Analysis department at Infineon Technologies Austria AG, February 2023
Natyra Ferati , Automating Design Handoff Between UX/UI Design and Development Team, February 2023
Guido Breitenhuber , Testing Expected Behavior of Integrated ROS Applications, August 2022
Andreas Kopeinig , Fine-grained Change Analysis for TypeScript based Systems, March 2022
Christoph Wedenig , Detecting SSRF Attacks in Kubernetes using Distributed Tracing, March 2022
Kevin van Dommele , Bridging Component Validation Frameworks, September 2021
Andreas Tscheinig , Advanced Analytics for Autonomous Cloud Delivery Operations, August 2021
Karin Wagner , Closing the Gap between Firmware Development and Integrated Test Development, June 2019
Thomas Grassauer , Studying Co-Evolution of Production and Test Code in .NET Open Source Projects, October 2016
Kavitha Shanmugam , Evolution of Custom SAP Applications (together with Infineon), September 2014
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Bibliography
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Referencing guides

Computer Science | Faculty of Engineering, LTH

Thesis topics.

We do research on the development of new tools, languages, and methods for software development with the goal of assisting software developers in their work. We often collaborate with industry and society, for inspiration and to get closer to real-world usage and needs. We also have cooperation with companies on compiler related projects, e.g., Modelon, Axis, and ABB Malmö.

List of open MSc proposals
Examples of relevant course: EDAN65 , EDAP15
For more details, contact: Görel Hedin , Christoph Reichenbach , Niklas Fors
Examples of past M.Sc. theses: Paul Wuilmart. Storytelling as a Strategy to Simplify Code Comprehension . [PDF], Anton Ljungberg and David Åkerman. Data-driven Program Analyzer Deployment . [ PDF ]
Examples of relevant course: EDAN65 , EDAP15 , MAMA15
For more details contact: Emma Söderberg
Courses: EDAN10 and/or EDAN80
For more details contact Lars Bendix .

Sidöversikt

Research group sites.

Computer Graphics
Embedded Systems Design
Robotics and Semantic Systems
Software Engineering Research Group

Research Area Sites

Artificial Intelligence
Natural Language Processing
Robotics and Automation Software

Research Project Sites

Software and community sites.

Accessibility Statement

Dept. of Computer Science, Lund University Box 118, SE-221 00 LUND Telefon: +46 46-222 00 00 [email protected]

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Student Projects and Thesis Topics

Selection of proposals for student projects ("Projekt" for Bachelor, "Praktikum" and "Team-Projekt" for Master) and thesis topics (Bachelor and Master). Please do not hesitate to contact us if you are interested in a project or thesis at the Chair of Software Engineering. If you have your own idea for a project or a thesis topic: Let's talk about it!

Available - Read More…

In progress

Selection of student projects and thesis topics on which students are currently working on. If you find one of the topics interesting please ask the tutor about similar or follow up projects/theses.

In progress - Read More…

Selection of student projects and thesis topics that have already been finished. If you find one of the topics interesting please ask the tutor about similar or follow up projects/theses.

Finished - Read More…

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Master Thesis Topics at Software Engineering Department
Latest Software Engineering Thesis Topics For Research Scholars
PPT
150+ Best Research Paper Topics For Software Engineering
Principles of Software Engineering Essay Example
(PDF) Proposal for master thesis in software engineering

COMMENTS

Top 10 Software Engineer Research Topics for 2024
List of Software Engineer Research Topics in 2024. Here is a list of Software Engineer research topics: Artificial Intelligence and Software Engineering. Natural Language Processing. Applications of Data Mining in Software Engineering. Data Modeling. Verification and Validation. Software Project Management.
Unique List of Software Engineering Research Topics
Latest Thesis and Research Topics in Software Engineering. Unique Software Engineering Research Topics for Students. more software engineers are needed as a result of the growing reliance on technology in both personal and professional spheres of life. Software engineering research topics are essential for solving complicated issues, increasing ...
What are the latest thesis topics in the area of Software Engineering
University of Duhok. Dear Taha Khamis, There are many hot research topics in software engineering. For example, you may look at the following two topics: 1- Software fault localization: https ...
1000 Computer Science Thesis Topics and Ideas
This section offers a well-organized and extensive list of 1000 computer science thesis topics, designed to illuminate diverse pathways for academic inquiry and innovation. Whether your interest lies in the emerging trends of artificial intelligence or the practical applications of web development, this assortment spans 25 critical areas of ...
150 Best Research Paper Topics For Software Engineering
Hotjar: Web Analytics Software Difference. This report examines Hotjar, which is a web-based analytics tool that comes with a full set of tools to evaluate. This paper examines its strengths and advantages, as well showing how it can aid in the management of decision-making. Avast Software: Company Analysis.
Latest Thesis and Research Topics in Software Engineering
It is a very good topic for master's thesis, project, and research. There are various topics in Software Engineering which will be helpful for M.Tech and other masters students write their software project thesis. Latest thesis topics in software engineering for research scholars: Fault detection in software using biological techniques
Computer Science Research Topics (+ Free Webinar)
Overview: CompSci Research Topics. Algorithms & data structures. Artificial intelligence ( AI) Computer networking. Database systems. Human-computer interaction. Information security (IS) Software engineering. Examples of CompSci dissertation & theses.
Offered MSc Thesis topics
Software engineering and technology are prevalent areas for thesis at the department, and many candidates ask for thesis topics every academic year. We do our best to accommodate the requests, but the applicants can smoothen the process by taking an active role in thinking about potential topics based on the themes presented below.
Some Frequent Writing Tips I Give Software Engineering Thesis Students
In formal texts, such as a paper or thesis report, you want to stay away from informal language of all sorts. This includes word contractions ("don't", "isn't"), but also influences your choice of words and style. When in doubt, go for a more formal style in your report. Active voice is ok (even preferred).
Master Thesis
Master Thesis - R. Feldt. I have extensive experience in supervising (42) and examining (100+) Master Theses in Software Engineering, Software Technology, and Software Development. Below you can find some examples of theses I have supervised as well as thesis topics I am interested in.
Undergraduate Research Topics
Available for single-semester IW and senior thesis advising, 2024-2025. Research Areas: computational complexity, algorithms, applied probability, computability over the real numbers, game theory and mechanism design, information theory. Independent Research Topics: Topics in computational and communication complexity.
Thesis Topics
A thesis in the SERG group typical investigates an aspect of the software engineering life cycle (requirements, design, implementation, testing, etc) within the context of a certain development approach (e.g. continuous experimentation) or software technology. An introduction to some of the SERG topics are given in our courses.. Software engineering theses often include a combination of ...
Research Topics in Software Engineering
Overview. This seminar is an opportunity to become familiar with current research in software engineering and more generally with the methods and challenges of scientific research. Each student will be asked to study some papers from the recent software engineering literature and review them. This is an exercise in critical review and analysis.
Trending Topics in Software Engineering
In this new column Trending Topics in Software Engineering, we aim at providing insights, reports, and outlooks on how researchers and practitioners around the world are working (or planning to work) on those trends. We intend to collect the challenges they are facing or foresee, and explore them in future issues.
Dissertations / Theses: 'Software engineering'
The delivered aims of this thesis are to investigate empirical software engineering process research and practices to solve current problems identified in software engineering process system modelling, to integrate current process models into a well founded and unifying framework and to lay theoretical foundations for the software engineering ...
Computer Science and Engineering Theses and Dissertations
Models of Secure Software Enforcement and Development, Hernan M. Palombo. PDF. Functional Object-Oriented Network: A Knowledge Representation for Service Robotics, David Andrés Paulius Ramos. PDF. Lung Nodule Malignancy Prediction from Computed Tomography Images Using Deep Learning, Rahul Paul. PDF
Topics for Theses and Projects
Our topics for bachelor and master theses as well as projects are from the areas of software engineering and programming languages. The concrete topics for theses are based on our research interests and allow students to make their own contribution to a field of research. Our main target group are students of Computer Science, Software Engineering, Media Informatics, Artificial Intelligence ...
Theses and Projects
2021. A Super-Metric for Measuring Adequacy in the Context of Software Architecture and Software Programming. Master's. 2021. Enabling Sensible People Analytics with Inverse Transparency. Master's. 2021. Using Text- and Image-Based Machine Learning to Predict Software Quality. Master's.
Master Theses
The goal of a Master's thesis project is to provide an answer to a relevant research question in software engineering. This typically involves the construction or extension of a prototype tool used to evaluate your research hypotheses and a written thesis to report, interpret, and discuss the results. A thesis project is typically taking 6-9 ...
Dissertations / Theses: 'Masters in Software Engineering'
This doctoral thesis aims to improve the understanding of the use of Kanban in software engineering. The research was performed in two phases: 1) analysis of scientific literature on Kanban in software engineering and industrial engineering and 2) investigation of Kanban implementation trends in software companies.
Specialist Software Engineering Thesis Topics In Oxford
3. An Overview of Industry Best Practices: Software engineering thesis topics in UK is a dynamic industry with a wide range of project management and development methodologies. Students working on ...
Thesis Topics
Thesis Topics. We do research on the development of new tools, languages, and methods for software development with the goal of assisting software developers in their work. We often collaborate with industry and society, for inspiration and to get closer to real-world usage and needs. We also have cooperation with companies on compiler related ...
Student Projects and Thesis Topics
Available. Selection of proposals for student projects ("Projekt" for Bachelor, "Praktikum" and "Team-Projekt" for Master) and thesis topics (Bachelor and Master). Please do not hesitate to contact us if you are interested in a project or thesis at the Chair of Software Engineering. If you have your own idea for a project or a thesis topic: Let ...

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