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Advantages of Automated Testing of Medical Applications and Information Systems Using Gherkin and Behavior-Driven Development
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- First Online: 24 May 2024
- Cite this conference paper
- Kseniia Horina ORCID: orcid.org/0009-0006-4655-385X 12 &
- Karatanov Oleksandr ORCID: orcid.org/0000-0002-6451-7901 12
Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 996))
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- Conference on Integrated Computer Technologies in Mechanical Engineering–Synergetic Engineering
This research delves into the realm of automated testing for medical applications and information systems by employing Gherkin syntax and Behavior-Driven Development (BDD) principles. Behavior-Driven Development, an evolution of Test-Driven Development and Acceptance Test-Driven Development, fosters collaboration among various stakeholders in Agile software development projects. This approach accentuates the identification of desired feature behavior and focuses on establishing scenarios composed of inputs, actions, and outcomes. The study elucidates the rationale for adopting BDD, explains the roles of Cucumber and Gherkin in automated testing, and delineates the testing methodology undertaken in the context of medical software development. Through systematic examination, this research underscores the seamless collaboration, early issue detection, and maintenance advantages offered by BDD. Furthermore, it underscores the pivotal role of Gherkin in promoting universal comprehension of software requirements. Finally, the study discusses potential avenues for future research and enhancements in the domain of automated testing for medical applications, contributing to the advancement of software quality and reliability in the medical sector.
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Horina, K., Oleksandr, K. (2024). Advantages of Automated Testing of Medical Applications and Information Systems Using Gherkin and Behavior-Driven Development. In: Nechyporuk, M., Pavlikov, V., Krytskyi, D. (eds) Integrated Computer Technologies in Mechanical Engineering - 2023. ICTM 2023. Lecture Notes in Networks and Systems, vol 996. Springer, Cham. https://doi.org/10.1007/978-3-031-60549-9_28
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