Automated NFR testing in continuous integration environments: a multi-case study of Nordic companies

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Abstract

Context: Non-functional requirements (NFRs) (also referred to as system qualities) are essential for developing high-quality software. Notwithstanding its importance, NFR testing remains challenging, especially in terms of automation. Compared to manual verification, automated testing shows the potential to improve the efficiency and effectiveness of quality assurance, especially in the context of Continuous Integration (CI). However, studies on how companies manage automated NFR testing through CI are limited. Objective: This study examines how automated NFR testing can be enabled and supported using CI environments in software development companies. Method: We performed a multi-case study at four companies by conducting 22 semi-structured interviews with industrial practitioners. Results: Maintainability, reliability, performance, security and scalability, were found to be evaluated with automated tests in CI environments. Testing practices, quality metrics, and challenges for measuring NFRs were reported. Conclusions: This study presents an empirically derived model that shows how data produced by CI environments can be used for evaluation and monitoring of implemented NFR quality. Additionally, the manuscript presents explicit metrics, CI components, tools, and challenges that shall be considered while performing NFR testing in practice.

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Yu, L., Alégroth, E., Chatzipetrou, P., & Gorschek, T. (2023). Automated NFR testing in continuous integration environments: a multi-case study of Nordic companies. Empirical Software Engineering, 28(6). https://doi.org/10.1007/s10664-023-10356-1

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