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Learning outcomes |
Knowledge: Understand software quality concepts across the lifecycle, including testing types, metrics, quality attributes, code smells and refactoring, mutation testing, automated test generation, integration of quality gates in CI/CD, and the role of AI and DevOps.
Skills: Apply testing techniques to assess correctness, robustness, and performance; use analysis and refactoring tools; implement automated tests (including AI and mutation-based approaches); analyze metrics; configure CI/CD pipelines with quality and security checks; evaluate tools and communicate results.
Competences: Design integrated quality strategies, select appropriate tools, apply critical thinking to problem-solving, act ethically, and collaborate effectively within development teams.
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Main Bibliography |
- Bass L., Lu Q., Weber I., and Zhu L., Engineering AI Systems: Architecture and DevOps Essentials, Pearson, 2025.
- Sommerville I., Engineering Software Products: An Introduction to Modern Software Engineering, Pearson, 2020.
- Singh Y., Software Testing, Cambridge University Press, 2012.
- Myers G., Sandler C., and Badgett T., The Art of Software Testing, 3rd edition, Wiley, 2011.
- Ammann P., and Offutt J., Introduction to Software Testing, Cambridge University Press, 2008.
- Patton R., Software Testing, 2nd edition, Sams Pub, 2006.
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