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Software Testing Types Minitheme

Software testing types minitheme presentation, premium google slides theme and powerpoint template.

A good piece of software should run like a well-oiled machine—and that means thorough testing is absolutely necessary. Different types of testing can identify anything from bugs to usability issues, making them essential pieces of any robust development process. Many future testers may benefit from an informative slideshow about software testing types, so prepare one with this editable template! Its main color is blue (the color of safety!), and is provided as a minitheme: a template with around 20 slides, sample sections and customizable resources.

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Guru99

Types of Software Testing (100 Examples)

Thomas Hamilton

What is a Software Testing Type?

Software Testing Type is a classification of different testing activities into categories, each having, a defined test objective, test strategy, and test deliverables. The goal of having a testing type is to validate the Application Under Test (AUT) for the defined Test Objective.

For instance, the goal of Accessibility testing is to validate the AUT to be accessible by disabled people. So, if your Software solution must be disabled friendly, you check it against Accessibility Test Cases.

Types of Software Testing

A list of 100 Software Testing Types along with definitions. A must read for any QA professional. Consider this your guide to all Software testing types.

Types of Software Testing

  • Acceptance Testing: Formal testing conducted to determine whether or not a system satisfies its acceptance criteria and to enable the customer to determine whether or not to accept the system. It is usually performed by the customer. Read More on Acceptance Testing
  • Accessibility Testing: Type of testing which determines the usability of a product to the people having disabilities (deaf, blind, mentally disabled etc). The evaluation process is conducted by persons having disabilities. Read More on Accessibility Testing
  • Active Testing: Type of testing consisting in introducing test data and analyzing the execution results. It is usually conducted by the testing team.
  • Agile Testing: Software testing practice that follows the principles of the agile manifesto, emphasizing testing from the perspective of customers who will utilize the system. It is usually performed by the QA teams. Read More on Agile Testing
  • Age Testing: Type of testing which evaluates a system’s ability to perform in the future. The evaluation process is conducted by testing teams.
  • Ad-hoc Testing: Testing performed without planning and documentation – the tester tries to ‘break’ the system by randomly trying the system’s functionality. It is performed by the testing team. Read More on Ad-hoc Testing
  • Alpha Testing: Type of testing a software product or system conducted at the developer’s site. Usually it is performed by the end users. Read More on Alpha Testing
  • Assertion Testing: Type of testing consisting in verifying if the conditions confirm the product requirements. It is performed by the testing team.
  • API Testing: Testing technique similar to Unit Testing in that it targets the code level. Api Testing differs from Unit Testing in that it is typically a QA task and not a developer task. Read More on API Testing
  • All-pairs Testing: Combinatorial testing method that tests all possible discrete combinations of input parameters. It is performed by the testing teams.

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  • Automated Testing: Testing technique that uses Automation Testing tools to control the environment set-up, test execution and results reporting. It is performed by a computer and is used inside the testing teams. Read More on Automated Testing
  • Basis Path Testing: A testing mechanism which derives a logical complexity measure of a procedural design and use this as a guide for defining a basic set of execution paths. It is used by testing teams when defining test cases. Read More on Basis Path Testing
  • Backward Compatibility Testing: Testing method which verifies the behavior of the developed software with older versions of the test environment. It is performed by testing team.
  • Beta Testing: Final testing before releasing application for commercial purpose. It is typically done by end-users or others.
  • Benchmark Testing: Testing technique that uses representative sets of programs and data designed to evaluate the performance of computer hardware and software in a given configuration. It is performed by testing teams. Read More on Benchmark Testing
  • Big Bang Integration Testing: Testing technique which integrates individual program modules only when everything is ready. It is performed by the testing teams.
  • Binary Portability Testing: Technique that tests an executable application for portability across system platforms and environments, usually for conformation to an ABI specification. It is performed by the testing teams.
  • Boundary Value Testing: Software testing technique in which tests are designed to include representatives of boundary values. It is performed by the QA testing teams. Read More on Boundary Value Testing
  • Bottom Up Integration Testing: In bottom-up Integration Testing, module at the lowest level are developed first and other modules which go towards the ‘main’ program are integrated and tested one at a time. It is usually performed by the testing teams.
  • Branch Testing: Testing technique in which all branches in the program source code are tested at least once. This is done by the developer.
  • Breadth Testing: A test suite that exercises the full functionality of a product but does not test features in detail. It is performed by testing teams.
  • Black box Testing: A method of software testing that verifies the functionality of an application without having specific knowledge of the application’s code/internal structure. Tests are based on requirements and functionality. It is performed by QA teams. Read More on Black box Testing
  • Code-driven Testing: Testing technique that uses testing frameworks (such as xUnit) that allow the execution of unit tests to determine whether various sections of the code are acting as expected under various circumstances. It is performed by the development teams.
  • Compatibility Testing: Testing technique that validates how well a software performs in a particular hardware/software/operating system/network environment. It is performed by the testing teams. Read More on Compatibility Testing
  • Comparison Testing: Testing technique which compares the product strengths and weaknesses with previous versions or other similar products. Can be performed by tester, developers, product managers or product owners. Read More on Component Testing
  • Component Testing: Testing technique similar to unit testing but with a higher level of integration – testing is done in the context of the application instead of just directly testing a specific method. Can be performed by testing or development teams.
  • Configuration Testing: Testing technique which determines minimal and optimal configuration of hardware and software, and the effect of adding or modifying resources such as memory, disk drives and CPU. Usually it is performed by the Performance Testing engineers. Read More on Configuration Testing
  • Condition Coverage Testing: Type of software testing where each condition is executed by making it true and false, in each of the ways at least once. It is typically made by the Automation Testing teams.
  • Compliance Testing: Type of testing which checks whether the system was developed in accordance with standards, procedures and guidelines. It is usually performed by external companies which offer “Certified OGC Compliant” brand.
  • Concurrency Testing: Multi-user testing geared towards determining the effects of accessing the same application code, module or database records. It it usually done by performance engineers. Read More on Concurrency Testing
  • Conformance Testing: The process of testing that an implementation conforms to the specification on which it is based. It is usually performed by testing teams. Read More on Conformance Testing
  • Context Driven Testing: An Agile Testing technique that advocates continuous and creative evaluation of testing opportunities in light of the potential information revealed and the value of that information to the organization at a specific moment. It is usually performed by Agile testing teams.
  • Conversion Testing: Testing of programs or procedures used to convert data from existing systems for use in replacement systems. It is usually performed by the QA teams.
  • Decision Coverage Testing: Type of software testing where each condition/decision is executed by setting it on true/false. It is typically made by the automation testing teams.
  • Destructive Testing: Type of testing in which the tests are carried out to the specimen’s failure, in order to understand a specimen’s structural performance or material behavior under different loads. It is usually performed by QA teams. Read More on Destructive Testing
  • Dependency Testing: Testing type which examines an application’s requirements for pre-existing software, initial states and configuration in order to maintain proper functionality. It is usually performed by testing teams.
  • Dynamic Testing: Term used in software engineering to describe the testing of the dynamic behavior of code. It is typically performed by testing teams. Read More on Dynamic Testing
  • Domain Testing: White box testing technique which contains checkings that the program accepts only valid input. It is usually done by software development teams and occasionally by automation testing teams.
  • Error-Handling Testing: Software testing type which determines the ability of the system to properly process erroneous transactions. It is usually performed by the testing teams.
  • End-to-end Testing: Similar to system testing, involves testing of a complete application environment in a situation that mimics real-world use, such as interacting with a database, using network communications, or interacting with other hardware, applications, or systems if appropriate. It is performed by QA teams. Read More on End-to-end Testing
  • Endurance Testing: Type of testing which checks for memory leaks or other problems that may occur with prolonged execution. It is usually performed by performance engineers. Read More on Endurance Testing
  • Exploratory Testing: Black box testing technique performed without planning and documentation. It is usually performed by manual testers. Read More on Exploratory Testing
  • Equivalence Partitioning Testing: Software testing technique that divides the input data of a software unit into partitions of data from which test cases can be derived. it is usually performed by the QA teams. Read More on Equivalence Partitioning Testing
  • Fault injection Testing: Element of a comprehensive test strategy that enables the tester to concentrate on the manner in which the application under test is able to handle exceptions. It is performed by QA teams.
  • Formal verification Testing: The act of proving or disproving the correctness of intended algorithms underlying a system with respect to a certain formal specification or property, using formal methods of mathematics. It is usually performed by QA teams.
  • Functional Testing: Type of black box testing that bases its test cases on the specifications of the software component under test. It is performed by testing teams. Read More on Functional Testing
  • Fuzz Testing: Software testing technique that provides invalid, unexpected, or random data to the inputs of a program – a special area of mutation testing. Fuzz testing is performed by testing teams. Read More on Fuzz Testing
  • Gorilla Testing: Software testing technique which focuses on heavily testing of one particular module. It is performed by quality assurance teams, usually when running full testing.
  • Gray Box Testing: A combination of Black Box and White Box testing methodologies: testing a piece of software against its specification but using some knowledge of its internal workings. It can be performed by either development or testing teams.
  • Glass box Testing: Similar to white box testing, based on knowledge of the internal logic of an application’s code. It is performed by development teams.
  • GUI software Testing: The process of testing a product that uses a graphical user interface, to ensure it meets its written specifications. This is normally done by the testing teams. Read More on GUI software Testing
  • Globalization Testing: Testing method that checks proper functionality of the product with any of the culture/locale settings using every type of international input possible. It is performed by the testing team. Read More on Globalization Testing
  • Hybrid Integration Testing: Testing technique which combines top-down and bottom-up integration techniques in order leverage benefits of these kind of testing. It is usually performed by the testing teams.
  • Integration Testing: The phase in software testing in which individual software modules are combined and tested as a group. It is usually conducted by testing teams. Read More on Integration Testing
  • Interface Testing: Testing conducted to evaluate whether systems or components pass data and control correctly to one another. It is usually performed by both testing and development teams. Read More on Interface Testing
  • Install/uninstall Testing: Quality assurance work that focuses on what customers will need to do to install and set up the new software successfully. It may involve full, partial or upgrades install/uninstall processes and is typically done by the software testing engineer in conjunction with the configuration manager.
  • Internationalization Testing: The process which ensures that product’s functionality is not broken and all the messages are properly externalized when used in different languages and locale. It is usually performed by the testing teams.
  • Inter-Systems Testing: Testing technique that focuses on testing the application to ensure that interconnection between application functions correctly. It is usually done by the testing teams.
  • Keyword-driven Testing: Also known as table-driven testing or action-word testing, is a software testing methodology for automated testing that separates the test creation process into two distinct stages: a Planning Stage and an Implementation Stage. It can be used by either manual or automation testing teams. Read More on Keyword-driven Testing
  • Load Testing: Testing technique that puts demand on a system or device and measures its response. It is usually conducted by the performance engineers. Read More on Load Testing
  • Localization Testing: Part of software testing process focused on adapting a globalized application to a particular culture/locale. It is normally done by the testing teams. Read More on Localization Testing
  • Loop Testing: A white box testing technique that exercises program loops. It is performed by the development teams. Read More on Loop Testing
  • Manual Scripted Testing: Testing method in which the test cases are designed and reviewed by the team before executing it. It is done by Manual Testing teams.
  • Manual-Support Testing: Testing technique that involves testing of all the functions performed by the people while preparing the data and using these data from automated system. it is conducted by testing teams.
  • Model-Based Testing: The application of Model based design for designing and executing the necessary artifacts to perform software testing. It is usually performed by testing teams. Read More on Model-Based Testing
  • Mutation Testing: Method of software testing which involves modifying programs’ source code or byte code in small ways in order to test sections of the code that are seldom or never accessed during normal tests execution. It is normally conducted by testers. Read More on Mutation Testing
  • Modularity-driven Testing: Software testing technique which requires the creation of small, independent scripts that represent modules, sections, and functions of the application under test. It is usually performed by the testing team.
  • Non-functional Testing: Testing technique which focuses on testing of a software application for its non-functional requirements. Can be conducted by the performance engineers or by manual testing teams. Read More on Non-functional Testing
  • Negative Testing: Also known as “test to fail” – testing method where the tests’ aim is showing that a component or system does not work. It is performed by manual or automation testers. Read More on Negative Testing
  • Operational Testing: Testing technique conducted to evaluate a system or component in its operational environment. Usually it is performed by testing teams. Read More on Operational Testing
  • Orthogonal array Testing: Systematic, statistical way of testing which can be applied in user interface testing, system testing, Regression Testing, configuration testing and Performance Testing. It is performed by the testing team. Read More on Orthogonal array Testing
  • Pair Testing: Software development technique in which two team members work together at one keyboard to test the software application. One does the testing and the other analyzes or reviews the testing. This can be done between one Tester and Developer or Business Analyst or between two testers with both participants taking turns at driving the keyboard.
  • Passive Testing: Testing technique consisting in monitoring the results of a running system without introducing any special test data. It is performed by the testing team.
  • Parallel Testing: Testing technique which has the purpose to ensure that a new application which has replaced its older version has been installed and is running correctly. It is conducted by the testing team. Read More on Parallel Testing
  • Path Testing: Typical white box testing which has the goal to satisfy coverage criteria for each logical path through the program. It is usually performed by the development team. Read More on Path Testing
  • Penetration Testing: Testing method which evaluates the security of a computer system or network by simulating an attack from a malicious source. Usually they are conducted by specialized penetration testing companies. Read More on Penetration Testing
  • Performance Testing: Functional testing conducted to evaluate the compliance of a system or component with specified performance requirements. It is usually conducted by the performance engineer. Read More on Performance Testing
  • Qualification Testing: Testing against the specifications of the previous release, usually conducted by the developer for the consumer, to demonstrate that the software meets its specified requirements.
  • Ramp Testing: Type of testing consisting in raising an input signal continuously until the system breaks down. It may be conducted by the testing team or the performance engineer.
  • Regression Testing: Type of software testing that seeks to uncover software errors after changes to the program (e.g. bug fixes or new functionality) have been made, by retesting the program. It is performed by the testing teams. Read More on Regression Testing
  • Recovery Testing: Testing technique which evaluates how well a system recovers from crashes, hardware failures, or other catastrophic problems. It is performed by the testing teams. Read More on Recovery Testing
  • Requirements Testing: Testing technique which validates that the requirements are correct, complete, unambiguous, and logically consistent and allows designing a necessary and sufficient set of test cases from those requirements. It is performed by QA teams.
  • Security Testing: A process to determine that an information system protects data and maintains functionality as intended. It can be performed by testing teams or by specialized security-testing companies. Read More on Security Testing
  • Sanity Testing: Testing technique which determines if a new software version is performing well enough to accept it for a major testing effort. It is performed by the testing teams. Read More on Sanity Testing
  • Scenario Testing: Testing activity that uses scenarios based on a hypothetical story to help a person think through a complex problem or system for a testing environment. It is performed by the testing teams. Read More on Scenario Testing
  • Scalability Testing: Part of the battery of non-functional tests which tests a software application for measuring its capability to scale up – be it the user load supported, the number of transactions, the data volume etc. It is conducted by the performance engineer. Read More on Scalability Testing
  • Statement Testing: White box testing which satisfies the criterion that each statement in a program is executed at least once during program testing. It is usually performed by the development team.
  • Static Testing: A form of software testing where the software isn’t actually used it checks mainly for the sanity of the code, algorithm, or document. It is used by the developer who wrote the code. Read More on Static Testing
  • Stability Testing: Testing technique which attempts to determine if an application will crash. It is usually conducted by the performance engineer. Read More on Stability Testing
  • Smoke Testing: Testing technique which examines all the basic components of a software system to ensure that they work properly. Typically, smoke testing is conducted by the testing team, immediately after a software build is made. Read More on Smoke Testing
  • Storage Testing: Testing type that verifies the program under test stores data files in the correct directories and that it reserves sufficient space to prevent unexpected termination resulting from lack of space. It is usually performed by the testing team. Read More on Storage Testing
  • Stress Testing: Testing technique which evaluates a system or component at or beyond the limits of its specified requirements. It is usually conducted by the performance engineer. Read More on Stress Testing
  • Structural Testing: White box testing technique which takes into account the internal structure of a system or component and ensures that each program statement performs its intended function. It is usually performed by the software developers.
  • System Testing: The process of testing an integrated hardware and software system to verify that the system meets its specified requirements. It is conducted by the testing teams in both development and target environment. Read More on System Testing
  • System integration Testing: Testing process that exercises a software system’s coexistence with others. It is usually performed by the testing teams. Read More on System integration Testing
  • Top Down Integration Testing: Testing technique that involves starting at the top of a system hierarchy at the user interface and using stubs to test from the top down until the entire system has been implemented. It is conducted by the testing teams.
  • Thread Testing: A variation of top-down testing technique where the progressive integration of components follows the implementation of subsets of the requirements. It is usually performed by the testing teams. Read More on Thread Testing
  • Upgrade Testing: Testing technique that verifies if assets created with older versions can be used properly and that user’s learning is not challenged. It is performed by the testing teams.
  • Unit Testing: Software verification and validation method in which a programmer tests if individual units of source code are fit for use. It is usually conducted by the development team. Read More on Unit Testing
  • User Interface Testing: Type of testing which is performed to check how user-friendly the application is. It is performed by testing teams. Read More on User Interface Testing

Bonus !!! Its always good to know a few extra

  • Usability Testing: Testing technique which verifies the ease with which a user can learn to operate, prepare inputs for, and interpret outputs of a system or component. It is usually performed by end users. Read More on Usability Testing
  • Volume Testing: Testing which confirms that any values that may become large over time (such as accumulated counts, logs, and data files), can be accommodated by the program and will not cause the program to stop working or degrade its operation in any manner. It is usually conducted by the performance engineer. Read More on Volume Testing
  • Vulnerability Testing: Type of testing which regards application security and has the purpose to prevent problems which may affect the application integrity and stability. It can be performed by the internal testing teams or outsourced to specialized companies. Read More on Vulnerability Testing
  • White box Testing: Testing technique based on knowledge of the internal logic of an application’s code and includes tests like coverage of code statements, branches, paths, conditions. It is performed by software developers. Read More on White box Testing
  • Workflow Testing: Scripted end-to-end testing technique which duplicates specific workflows which are expected to be utilized by the end-user. It is usually conducted by testing teams. Read More on Workflow Testing

That concludes the list. Hope You enjoyed reading it. To find the appropriate tools for this type of testing and others, explore this collection of testing tools .

  • What is Software Testing?
  • 7 Principles of Software Testing with Examples
  • V-Model in Software Testing
  • STLC (Software Testing Life Cycle)
  • Manual Testing Tutorial
  • Automation Testing
  • What is Unit Testing?
  • What is Integration Testing? (Example)

Illustration with collage of pictograms of computer monitor, server, clouds, dots

Software testing is the process of evaluating and verifying that a software product or application does what it’s supposed to do. The benefits of good testing include preventing bugs and improving performance.

Software testing today is most effective when it is continuous, indicating that testing is started during the design, continues as the software is built out, and even occurs when deployed into production. Continuous testing means that organizations don’t have to wait for all the pieces to be deployed before testing can start. Shift-left, which is moving testing closer to design, and shift-right, where end-users perform validation, are also philosophies of testing that have recently gained traction in the software community. When your test strategy and management plans are understood, automation of all aspects of testing becomes essential to support the speed of delivery that is required.

Strategic application modernization is one key to transformational success that can boost annual revenue and lower maintenance and running costs.

Register for the guide on DaaS

There are many different types of software tests, each with specific objectives and strategies:

  • Acceptance testing: Verifying whether the whole system works as intended.
  • Code review: Confirming that new and modified software is following an organization’s coding standards and adheres to its best practices.
  • Integration testing: Ensuring that software components or functions operate together.
  • Unit testing: Validating that each software unit runs as expected. A unit is the smallest testable component of an application.
  • Functional testing: Checking functions by emulating business scenarios, based on functional requirements. Black-box testing is a common way to verify functions.
  • Performance testing: Testing how the software runs under different workloads. Load testing, for example, is used to evaluate performance under real-life load conditions.
  • Regression testing: Checking whether new features break or degrade functionality. Sanity testing can be used to verify menus, functions and commands at the surface level, when there is no time for a full regression test.
  • Security testing: Validating that your software is not open to hackers or other malicious types of vulnerabilities that might be exploited to deny access to your services or cause them to perform incorrectly.
  • Stress testing: Testing how much strain the system can take before it fails. Stress testing is considered to be a type of non-functional testing.
  • Usability testing: Validating how well a customer can use a system or web application to complete a task.

In each case, validating base requirements is a critical assessment. Just as important, exploratory testing helps a tester or testing team uncover hard-to-predict scenarios and situations that can lead to software errors.

Even a simple application can be subject to a large number and variety of tests. A test management plan helps to prioritize which types of testing provide the most value—given available time and resources. Testing effectiveness is optimized by running the fewest number of tests to find the largest number of defects.

Software testing arrived alongside the development of software, which had its beginnings just after World War II. Computer scientist Tom Kilburn is credited with writing the first piece of software, which debuted on 21 June 1948 at the University of Manchester in England. It performed mathematical calculations by using machine code instructions.

Debugging was the main testing method at the time and remained so for the next two decades. By the 1980s, development teams looked beyond isolating and fixing software bugs to testing applications in real-world settings. It set the stage for a broader view of testing, which encompassed a quality assurance process that was part of the software development lifecycle.

Few can argue against the need for quality control when developing software. Late delivery or software defects can damage a brand’s reputation, which leads to frustrated and lost customers. In extreme cases, a bug or defect can degrade interconnected systems or cause serious malfunctions.

Consider Nissan having to recall over 1 million cars due to a software defect in the airbag sensor detectors, or a software bug that caused the failure of a USD 1.2 billion military satellite launch. 1 The numbers speak for themselves. Software failures in the US cost the economy USD 1.1 trillion in assets in 2016. What’s more, they impacted 4.4 billion customers. 2

Though testing itself costs money, companies can save millions per year in development and support if they have a good testing technique and QA processes in place. Early software testing uncovers problems before a product goes to market. The sooner development teams receive test feedback, the sooner they can address issues such as:

  • Architectural flaws
  • Poor design decisions
  • Invalid or incorrect functionality
  • Security vulnerabilities
  • Scalability issues

When development leaves ample room for testing, it improves software reliability and high-quality applications are delivered with few errors. A system that meets or even exceeds customer expectations leads to potentially more sales and greater market share.

Software testing follows a common process. Tasks or steps include defining the test environment, developing test cases, writing scripts, analyzing test results and submitting defect reports.

Testing can be time-consuming. Manual testing or ad hoc testing might be enough for small builds. However, for larger systems, tools are frequently used to automate tasks. Automated testing helps teams implement different scenarios, test differentiators (such as moving components into a cloud environment), and quickly get feedback on what works and what doesn't.

A good testing approach encompasses the application programming interface (API), user interface and system levels. The more tests that are automated, and run early, the better. Some teams build in-house test automation tools. However, vendor solutions offer features that can streamline key test management tasks such as:

Continuous testing

Project teams test each build as it becomes available. This type of software testing relies on test automation that is integrated with the deployment process. It enables software to be validated in realistic test environments earlier in the process, which improves design and reduces risks.

Configuration management

Organizations centrally maintain test assets and track what software builds to test. Teams gain access to assets such as code, requirements, design documents, models, test scripts and test results. Good systems include user authentication and audit trails to help teams meet compliance requirements with minimal administrative effort.

Service virtualization

Testing environments might not be available, especially early in code development. Service virtualization simulates the services and systems that are missing or not yet completed, enabling teams to reduce dependencies and test sooner. They can reuse, deploy and change a configuration to test different scenarios without having to modify the original environment.

Defect or bug tracking

Monitoring defects is important to both testing and development teams for measuring and improving quality. Automated tools allow teams to track defects, measure their scope and impact, and uncover related issues.

Metrics and reporting

Reporting and analytics enable team members to share status, goals and test results. Advanced tools integrate project metrics and present results in a dashboard. Teams quickly see the overall health of a project and can monitor relationships between test, development and other project elements.

Case studies

IBM Engineering Workflow Management acts as the critical link between required and delivered work by enabling teams to manage plans, tasks and project status.

IBM Engineering Test Management is a collaborative, quality management solution that offers end-to-end test planning and test asset management, from requirements to defects.

A comprehensive testing and virtualization platform to help ensure application quality throughout the software lifecycle.

IBM DevOps Test Workbench provides software testing tools to support API testing, functional UI testing, performance testing and service virtualization.

IBM DevOps Test Virtualization enables early and frequent testing in the development lifecycle.

IBM DevOps Automation helps improve productivity, reduce business risk and deliver applications faster using generative AI and automation.

IBM DevOps Deploy is an application-release solution that infuses automation into the continuous delivery and continuous deployment process and provides robust visibility, traceability and auditing capabilities.

Velocity automates processes in your release lifecycle and gathers insights into your DevOps processes.

Continuous testing plays a crucial role in accelerating software development, improving code quality, and avoiding costly bottlenecks.

Software development refers to a set of computer science activities dedicated to the process of creating, designing, deploying and supporting software.

This ebook explores why testing earlier and more often is critical for achieving the IBM DevOps goal of faster software delivery.

Developer-centric, deeper dive resources to help improve your software lifecycle experience.

A platform where you can stay informed through webinars, blogs, and other great content. Discuss software testing and DevOps with your peers from around the world.

Are you ready for DevOps? To deliver software and services at the speed the market demands, teams have to iterate and experiment rapidly, deploy new versions frequently, and be driven by feedback and data. The most successful cloud development teams adopt modern DevOps culture and practices, embrace cloud-native architectures and assemble toolchains from best-in-class tools to unleash their productivity.

1 " What is Software Testing? " (link resides outside ibm.com), Thomas Hamilton, guru99.com, updated 3 January 2024

2 " The glitch economy: Counting the cost of software failures " (link resides outside ibm.com), Dalibor Siroky, 30 October 2017

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Top 10 Software Testing Templates with Samples and Examples

Top 10 Software Testing Templates with Samples and Examples

Neha Parmar

author-user

Software testing ensures that a software product complies with all criteria and incorporates all functions sought from it, and is error-free. Using human or automated methodologies entails thoroughly assessing software/system components to gauge required features. The goal is to ensure the software meets the necessary quality standards and performs as planned.

A software testing template provides an established structure for planning and recording this important testing process. Sections include test goals, its scope, environment, strategy, and cases. SlideTeam’s content-ready template directs testers in the systematic design, execution, and evaluation of tests, assists them in finding flaws and assesses the software’s compliance with specification. A software testing template encourages consistency, speed, and efficient team communication. It offers a standardized method to do so, ultimately improving product quality and client satisfaction.

The software will run reliably, securely, and optimally thanks to thorough testing, resulting in time savings, increased financial efficiency, and more customer satisfaction. By discovering and fixing problems early in the development process, software testing plays a crucial role in guaranteeing the delivery of a dependable and effective solution that fulfills end-user expectations. The ultimate goal of a phenomenal end-user experience is also achieved.

Executing appropriate testing tools like a template, however, is a time- and labor- intensive aspect of creating software, a crucial step. SlideTeam offers a solution with its software testing templates. These customizable templates streamline the testing process and provide the necessary context, saving time and energy.

What’s even better, each of these templates is 100% customizable and editable. The content-ready nature provides you with the structure and a starting point; the editability feature ensures that you can customize the template according to audience profile.

Let’s explore these clutter-free solutions to software testing that makes life easy for all stakeholders.

Template 1 Software testing approach PPT template bundles

This PPT template covers methods, procedures, and outcomes of the testing process. These templates offer a coherent and well-organized structure with a polished and aesthetically pleasing appearance to represent your testing methodology effectively. Using these valuable tools may save time and improve the impact of your presentations. The complete deck in 20 slides is perfect for starting and maintaining professional conversations and ensures a comprehensive and well-structured solution to the testing part of software development. The processes of vulnerability assessment, functional testing and software testing approaches and strategies are covered as well. This compendium is a one-stop solution.

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Template 2 :- Software Testing for Effective Project Implementation DK MD

Use this thorough deck of 18 slides, designed for expert discussion sessions to communicate your thoughts and vision. With its range of slides that are all thematically related, this presentation template guarantees a well-structured experience for your clients. Testing is significant in project execution, risk mitigation, improving user experience, and guaranteeing a stable and high quality software system by carefully assessing software functionality, performance, and dependability. Downloading this template will give your professional service an edge.

Software Testing for Effective Project Implementation

Template 3:- Software Testing PPT Template Bundles 

Start working together and convey your messages clearly with this superb PPT Template. You have the ideal resource to give a thorough explanation of the subject, thanks to the 10 professionally created slides in this PowerPoint slideshow. Use it to start with types of information, such as statistics, facts, data charts, before moving on to the moot point of software testing. Don’t let this opportunity to gather comprehensive and useful presentation material go abegging.

Software Testing

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Template 4:- Software Testing Life Cycle In Product Quality Assurance 

Use this PPT template to make the most of your presentations. It contains valuable information on requirement gathering, test planning, development testing, test execution, and reporting. You can download this template immediately to improve your presentations and get the most out of them. It comes with a series of slides that emphasize the five key steps in the testing process.

Software Testing Life Cycle in Product Quality Assurance

Template 5:- Software Testing Waterfall Model

This PPT Template demonstrates a step-by-step, linear method of software testing. It includes requirements analysis, test planning, test case development, test execution, and test closure and moving through each process with discipline. A systematic and well- defined testing procedure requires finishing each step before going on to the next. The Waterfall Model offers a distinct and structured framework for testing, making monitoring development and spotting problems at each level simpler.

Software Testing Waterfall Model

Template 6:- Risk Analysis In Software Testing PPT Ideas

Use this powerful presentation template for software testing to include risk analysis in your bag of tricks for software testing. Risk analysis assists in identifying possible hazards, prioritizing these according to their significance and likelihood, and developing effective management or mitigation measures. Including risk analysis concepts in your presentation demonstrates a proactive commitment to reducing project risks and guaranteeing a more effective and successful software testing process. This benefits all stakeholders.

Risk Analysis In Software Testing PPT Ideas

Template 7 Five Key Challenges Of User Acceptance Software Testing

These content-ready PowerPoint bundle has five key challenges that software testing must take head-on. First, it might be challenging to match customer expectations with the features and functionalities of the product. Second, providing enough test coverage that considers user scenarios is critical. Thirdly, it might not be easy to coordinate and include users in the testing process. Fourth, handling and resolving conflicting user requests and input might be complex. Finally, measuring and evaluating user acceptance and satisfaction might be complex and subjective. Download this presentation template now to assist your investors.

5 Key Challenges of User Acceptance Software Testing

Template 8 Feature List Of Automation Tools For Software Testing

This PowerPoint Template covers essential features of Automation tools. Software testing automation tools provide capabilities, including test script management, execution, and authoring. They allow testers to conduct tests across platforms, automate processes, and interface with development frameworks. These programs include performance testing features, cross-browser and mobile testing assistance, and reporting capabilities. They speed up testing procedures, save time, and raise the caliber of software.

Feature List of Automation Tools for Software Testing

Template 9:- Manual Software Testing Process With Defect Logging

This presentation template will assist you in providing a concise and persuasive summary of a systematic procedure to guarantee software quality. Manually performing test cases allows testers to look for errors and abnormalities. As testers methodically record and report detected faults, defect tracking is crucial to this procedure. It entails gathering pertinent data, such as instructions for duplicating errors and anticipated and actual outcomes. The software quality improves when defects are tracked, prioritized, and fixed.

Manual Software Testing Process with Defect Logging

Template 10:- End-to-end QA and Testing DevOps IT Determine Software Testing Initiatives DevOps

Determining the performance of software testing programs depends critically on end-to- end Quality Assurance (QA) and testing in DevOps. Businesses can guarantee ongoing quality improvement with the inclusion of QA and testing throughout the DevOps lifecycle. It also entails establishing reliable test environments, automating testing procedures, and creating effective feedback loops. End-to-end QA and testing in DevOps facilitate quicker, more reliable releases, encourage teamwork, and ultimately improve software quality and customer satisfaction.

Determine Software Testing Initiatives in DevOps Dashboard

TESTING IS GOOD

In conclusion, SlideTeam's software testing templates streamline the testing procedure by offering configurable solutions that reduce time and effort. These templates facilitate testing by providing the required context and facilitating practical software evaluation. Software testing templates help developers improve their testing processes and ensure that problems are found and fixed accurately and thoroughly throughout the development cycle.

FAQs on Software Testing

What is in software testing.

Software testing is a critical procedure to assess and validate software systems to guarantee performance, dependability, and quality. It entails running test cases, looking for flaws or problems, and ensuring the program complies with all requirements. Functional testing, performance testing, security testing, and usability testing, among other forms, are all carried out. Test planning, test case design, test execution, and defect tracking also happen. The aim is to find flaws, raise software quality, raise user satisfaction, and lower risks. Software testing, ultimately, contributes to the delivery of dependable and high-quality software solutions to satisfy, or even exceed, customer expectations.

What are the four main types of software testing?

Functional testing verifies that the software operates as intended and satisfies user equirements. It guarantees that features and services operate, as expected. Performance testing: Performance testing measures how well and responsively the program performs under varied loads and stresses. It pinpoints performance bottlenecks, gauges reaction times, and rates the system's scalability. Security testing evaluates a program's capacity to safeguard data, uphold confidentiality, and thwart unauthorized access. It finds weaknesses, evaluates authentication and authorization processes, and confirms adherence to security norms. Usability testing: Usability testing looks at the software's usability and user-friendliness. It assesses the interface, navigation, and overall user experience to ensure the program satisfies user expectations.

What is a software testing job?

Software testing is a professional task of verifying the dependability and quality of software systems. Program testers are responsible for creating and carrying out test cases, locating flaws or problems, and confirming that the program satisfies required specifications. They carry out forms of testing, examine test outcomes, and alert the development team to any problems. Additionally, they participate in the software development lifecycle and work with stakeholders to comprehend project requirements and design test strategies. Strong analytical and problem-solving abilities, meticulousness, and familiarity with testing procedures and tools are necessary job skills.

What is a software test called?

A software test, often referred to as a test case, is a particular set of requirements, inputs, and anticipated results used to verify the operation and behavior of a software system. Test cases offer an organized way to run tests, find flaws, and guarantee the accuracy and dependability of the product.

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  • Published: 08 May 2024

Accurate structure prediction of biomolecular interactions with AlphaFold 3

  • Josh Abramson   ORCID: orcid.org/0009-0000-3496-6952 1   na1 ,
  • Jonas Adler   ORCID: orcid.org/0000-0001-9928-3407 1   na1 ,
  • Jack Dunger 1   na1 ,
  • Richard Evans   ORCID: orcid.org/0000-0003-4675-8469 1   na1 ,
  • Tim Green   ORCID: orcid.org/0000-0002-3227-1505 1   na1 ,
  • Alexander Pritzel   ORCID: orcid.org/0000-0002-4233-9040 1   na1 ,
  • Olaf Ronneberger   ORCID: orcid.org/0000-0002-4266-1515 1   na1 ,
  • Lindsay Willmore   ORCID: orcid.org/0000-0003-4314-0778 1   na1 ,
  • Andrew J. Ballard   ORCID: orcid.org/0000-0003-4956-5304 1 ,
  • Joshua Bambrick   ORCID: orcid.org/0009-0003-3908-0722 2 ,
  • Sebastian W. Bodenstein 1 ,
  • David A. Evans 1 ,
  • Chia-Chun Hung   ORCID: orcid.org/0000-0002-5264-9165 2 ,
  • Michael O’Neill 1 ,
  • David Reiman   ORCID: orcid.org/0000-0002-1605-7197 1 ,
  • Kathryn Tunyasuvunakool   ORCID: orcid.org/0000-0002-8594-1074 1 ,
  • Zachary Wu   ORCID: orcid.org/0000-0003-2429-9812 1 ,
  • Akvilė Žemgulytė 1 ,
  • Eirini Arvaniti 3 ,
  • Charles Beattie   ORCID: orcid.org/0000-0003-1840-054X 3 ,
  • Ottavia Bertolli   ORCID: orcid.org/0000-0001-8578-3216 3 ,
  • Alex Bridgland 3 ,
  • Alexey Cherepanov   ORCID: orcid.org/0000-0002-5227-0622 4 ,
  • Miles Congreve 4 ,
  • Alexander I. Cowen-Rivers 3 ,
  • Andrew Cowie   ORCID: orcid.org/0000-0002-4491-1434 3 ,
  • Michael Figurnov   ORCID: orcid.org/0000-0003-1386-8741 3 ,
  • Fabian B. Fuchs 3 ,
  • Hannah Gladman 3 ,
  • Rishub Jain 3 ,
  • Yousuf A. Khan   ORCID: orcid.org/0000-0003-0201-2796 3 ,
  • Caroline M. R. Low 4 ,
  • Kuba Perlin 3 ,
  • Anna Potapenko 3 ,
  • Pascal Savy 4 ,
  • Sukhdeep Singh 3 ,
  • Adrian Stecula   ORCID: orcid.org/0000-0001-6914-6743 4 ,
  • Ashok Thillaisundaram 3 ,
  • Catherine Tong   ORCID: orcid.org/0000-0001-7570-4801 4 ,
  • Sergei Yakneen   ORCID: orcid.org/0000-0001-7827-9839 4 ,
  • Ellen D. Zhong   ORCID: orcid.org/0000-0001-6345-1907 3 ,
  • Michal Zielinski 3 ,
  • Augustin Žídek   ORCID: orcid.org/0000-0002-0748-9684 3 ,
  • Victor Bapst 1   na2 ,
  • Pushmeet Kohli   ORCID: orcid.org/0000-0002-7466-7997 1   na2 ,
  • Max Jaderberg   ORCID: orcid.org/0000-0002-9033-2695 2   na2 ,
  • Demis Hassabis   ORCID: orcid.org/0000-0003-2812-9917 1 , 2   na2 &
  • John M. Jumper   ORCID: orcid.org/0000-0001-6169-6580 1   na2  

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  • Drug discovery
  • Machine learning
  • Protein structure predictions
  • Structural biology

The introduction of AlphaFold 2 1 has spurred a revolution in modelling the structure of proteins and their interactions, enabling a huge range of applications in protein modelling and design 2–6 . In this paper, we describe our AlphaFold 3 model with a substantially updated diffusion-based architecture, which is capable of joint structure prediction of complexes including proteins, nucleic acids, small molecules, ions, and modified residues. The new AlphaFold model demonstrates significantly improved accuracy over many previous specialised tools: far greater accuracy on protein-ligand interactions than state of the art docking tools, much higher accuracy on protein-nucleic acid interactions than nucleic-acid-specific predictors, and significantly higher antibody-antigen prediction accuracy than AlphaFold-Multimer v2.3 7,8 . Together these results show that high accuracy modelling across biomolecular space is possible within a single unified deep learning framework.

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Author information.

These authors contributed equally: Josh Abramson, Jonas Adler, Jack Dunger, Richard Evans, Tim Green, Alexander Pritzel, Olaf Ronneberger, Lindsay Willmore

These authors jointly supervised this work: Victor Bapst, Pushmeet Kohli, Max Jaderberg, Demis Hassabis, John M. Jumper

Authors and Affiliations

Core Contributor, Google DeepMind, London, UK

Josh Abramson, Jonas Adler, Jack Dunger, Richard Evans, Tim Green, Alexander Pritzel, Olaf Ronneberger, Lindsay Willmore, Andrew J. Ballard, Sebastian W. Bodenstein, David A. Evans, Michael O’Neill, David Reiman, Kathryn Tunyasuvunakool, Zachary Wu, Akvilė Žemgulytė, Victor Bapst, Pushmeet Kohli, Demis Hassabis & John M. Jumper

Core Contributor, Isomorphic Labs, London, UK

Joshua Bambrick, Chia-Chun Hung, Max Jaderberg & Demis Hassabis

Google DeepMind, London, UK

Eirini Arvaniti, Charles Beattie, Ottavia Bertolli, Alex Bridgland, Alexander I. Cowen-Rivers, Andrew Cowie, Michael Figurnov, Fabian B. Fuchs, Hannah Gladman, Rishub Jain, Yousuf A. Khan, Kuba Perlin, Anna Potapenko, Sukhdeep Singh, Ashok Thillaisundaram, Ellen D. Zhong, Michal Zielinski & Augustin Žídek

Isomorphic Labs, London, UK

Alexey Cherepanov, Miles Congreve, Caroline M. R. Low, Pascal Savy, Adrian Stecula, Catherine Tong & Sergei Yakneen

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Corresponding authors

Correspondence to Max Jaderberg , Demis Hassabis or John M. Jumper .

Supplementary information

Supplementary information.

This Supplementary Information file contains the following 9 sections: (1) Notation; (2) Data pipeline; (3) Model architecture; (4) Auxiliary heads; (5) Training and inference; (6) Evaluation; (7) Differences to AlphaFold2 and AlphaFold-Multimer; (8) Supplemental Results; and (9) Appendix: CCD Code and PDB ID tables.

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Abramson, J., Adler, J., Dunger, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature (2024). https://doi.org/10.1038/s41586-024-07487-w

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Received : 19 December 2023

Accepted : 29 April 2024

Published : 08 May 2024

DOI : https://doi.org/10.1038/s41586-024-07487-w

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software testing types presentation

what are the main types of software testing

What Are the Main Types of Software Testing

Aug 04, 2023

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Software testing is essential for ensuring the quality, reliability, and performance of software applications. By conducting various types of testing, developers can identify and fix issues, leading to a better user experience and increased customer satisfaction.

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What Are the Main Types of Software Testing? Hurrah! The software project is completed. Wait, wait, wait! Have you tested it? It is not enough to just finish a software project; we also need to test it. But why is it important for us to test software applications? Software testing involves determining if the programme functions correctly and complies with the written requirements specifications. Software testing’s primary objectives are to fix defects and improve the software’s functionality, user interface,

security, and other elements. A lot of testing can significantly raise the software’s overall quality, which will result in very happy customers. Even while mistakes happen, sometimes the price of a mistake is simply too expensive. Software bugs have been known to squander billions of dollars or even result in fatalities in the past. Examples include hundreds of flights to and from London’s Heathrow airport that were disrupted on 16th Feb 2020, after a study identified a software flaw that had earlier resulted in a deadly crash in Spain, Airbus issued a warning for promptly inspecting its A400M aircraft. Because testing is equally vital, let’s examine its many forms and specifics. Functional testing and non-functional testing are the two primary broad categories into which software testing is often divided. In addition, maintenance testing is another generic sort of testing. Functional testing 1. Unit Testing The fundamental functions of an application are examined through functional testing, a sort of Software Testing, against a predetermined set of standards. You must test every functionality when conducting functional tests. Keep on checking regularly if you’re obtaining the outcomes, you want or not. Functional tests use Black Box Testing methodologies to determine whether a given input produces the intended outcome regardless of any other information. Tests pass or fail, and the results are binary. Functional testing should result in software with a seamless user experience, consistent API, and integration with business processes. There are different types of functional testing- 2. Integration Testing The process of logically combining two or more modules of an application and testing them as a whole is known as “integration testing” in software testing. This type of testing focuses on finding problems with data flow, communication, and the interface between modules. Either a top-down or bottom-up approach is used to integrate modules into the larger system. To make sure that everything functions as planned, this form of testing is essential. Since numerous distinct application components must function, these tests are more expensive to run. 3. Smoke Testing Smoke tests are simple evaluations that examine an application’s fundamental functionality. The Software Testing team validates each new build that the developer team submits and makes sure that there are no significant issues. The testing team will confirm that the build is stable before moving on to more thorough testing.

Smoke testing is done in the initial stages of the software development life cycle(SDLC). 4. End-to-End Testing This testing verifies the entire piece of software, including its integration with external interfaces, from beginning to end. To replicate real-time conditions, it uses test environments and data from actual production. Chain testing is another name for E2E testing. By identifying problems and boosting the test Coverage of subsystems, End To End Testing evaluates the entire system flow and boosts confidence. Having sufficient information about the entire system as well as a related sub-system is the largest obstacle in this testing. 5. Alpha Testing The first step in determining whether a new product will function as anticipated is alpha testing. Before moving on to beta tests, which involve a representative sample of the target market utilizing the product, internal personnel conduct early-stage alpha tests. type of testing carried out at the developer’s location on a software system or product. Typically, end users carry it out. There are two stages to alpha testing: a) The first phase of testing is done by in-house developers to catch bugs quickly. b) While the second phase of alpha testing is done by software QA staff, for additional testing in an environment. 6. Beta Testing Beta testing is a kind of user acceptability testing where the product team delivers a set of target users a nearly finished product to assess how well it performs in the real world. There is no fixed standard for how to set up beta testing or how a beta test should seem. The testing process itself should be pertinent to your testing objectives. In the modern software development process, beta testing should be an integral part of the product development cycle. 8. Regression Testing A regression test is testing used in software testing to verify that an application still operates as expected after any modifications, updates, or improvements to the code. The overall stability and efficiency of the current features are ensured by regression testing. Regression testing is used whenever a new change is made to the code to ensure that the system remains stable in the face of ongoing improvements.

9. User Acceptance Testing This test determining whether the system complies with user needs is a procedure. It may cover the application’s functionality, ease of use, execution, and user interface. The customer and the end user typically check to make sure the requirements were accurately stated and carried out. Verifying that the requirements were accurately conveyed and carried out is often done by the client and the end-user. Non-functional Testing Non-functional testing is a form of software testing used to evaluate a software application’s non-functional characteristics, such as its performance, usability, dependability, etc. A tester must use a lot more imagination when conducting this kind of testing. It has nothing to do with mechanically pressing the correct buttons. The testing professional must devise a plan for gathering client expectations and provide a series of tests to evaluate how well they are satisfied. Non-functional testing is often automated. Some of the non-functional testings are – 1. Security testing Security testing is done on software, programmes, and websites to see how well- defended they are against internal and/or external threats. 2. Availability testing Durability testing, often known as availability testing, is a type of performance testing in which the application is used for a predetermined amount of time while being monitored for failure events and repair timeframes, with the availability percentage then being compared to the service level agreement. 3. Performance testing A set of testing techniques known as performance testing simulates user traffic and request patterns within a software solution. Performance testing enables you to assess the application’s speed of operations as well as the system’s overall dependability, stability, and scalability. It also allows you to compare the expected results with the indicators received. 4. Compatibility testing It will ascertain whether your software programme or product is competent enough to function in a variety of hardware, operating systems, databases, browsers, and mobile devices. Always conduct compatibility tests in a physical setting as opposed to

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COMMENTS

  1. Types of Software Testing

    Waterfall Model: Sometime called the linear sequential or classic life cycle model, the waterfall model suggest symmetric, sequential approach to software development the begins at the system level and progress through analysis, design, coding, testing, and support. Figure 1 illustrates the waterfall model for software engineering.

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    However, in this tutorial, we have covered mostly each and every type of software testing which we usually use in our day-to-day testing life. Let's have a look at them!! Table of Contents: Different Types Of Software Testing. Functional Testing. #1) Unit Testing. #2) Integration Testing.

  3. PDF Introduction to Software Testing

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    This page contains powerpoint slides for the second edition of the book Introduction to Software Testing by and . These slides are available for instructors, students, and readers of the book. The authors reserve the copyright on all slides, but grant permission for them to be used for educational purposes. The slides can be modified as long as ...

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    Prachi Sasankar SOFTWARETESTING TY-IT-Sem -V. 13. Grey-BoxTesting • Grey-box testing is a technique to test the application with having a limited knowledge of the internal workings of an application. • In software testing, the phrase the more you know, the better carries a lot of weight while testing an application.

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    Different types of testing can identify anything from bugs to usability issues, making them essential pieces of any robust development process. Many future testers may benefit from an informative slideshow about software testing types, so prepare one with this editable template! Its main color is blue (the color of safety!), and is provided as ...

  7. Types of Software Testing (100 Examples)

    Age Testing: Type of testing which evaluates a system's ability to perform in the future. The evaluation process is conducted by testing teams. Ad-hoc Testing: Testing performed without planning and documentation - the tester tries to 'break' the system by randomly trying the system's functionality.

  8. What Is Software Testing?

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