Mastering Software Quality Engineering: A Holistic Approach
Main Article Content
Abstract
Software quality engineering (SQE) is essential for ensuring that software applications meet the required standards of functionality, performance, security, and reliability. As software development methodologies evolve, the need for a comprehensive, holistic approach to software quality has become more critical. This paper explores the concept of mastering software quality engineering through a unified, multi-disciplinary approach. It highlights the integration of various techniques, such as test automation, continuous integration (CI), continuous delivery (CD), and defect management, to create a seamless workflow that drives software quality. The research also emphasizes the importance of collaboration between development, testing, and operations teams in achieving optimal software quality. This holistic approach leverages both traditional and modern practices, including agile development and DevOps, to ensure that software is developed, tested, and deployed effectively. The study investigates the tools, methodologies, and frameworks used to implement this approach, along with challenges faced by organizations in achieving high software quality standards. Additionally, the paper presents case studies and performance metrics to demonstrate the effectiveness of a holistic approach to software quality engineering. By addressing the challenges in quality assurance and introducing strategies for overcoming them, this paper provides valuable insights into mastering SQE for modern software development environments.
Downloads
Metrics
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
References
E. Elbaum et al., "Automated Regression Testing for Web Applications," IEEE Transactions on Software Engineering, vol. 36, no. 2, pp. 124-132, 2010.
M. Jain et al., "Test Automation Frameworks for Agile Software Testing," IEEE Transactions on Cloud Computing, vol. 3, no. 6, pp. 234-245, 2013.
P. Kreutzer et al., "Automated Testing in CI/CD Pipelines," IEEE Software, vol. 27, no. 9, pp. 89-95, 2014.
Beizer, B. (1995). Software testing techniques (2nd ed.). Van Nostrand Reinhold.
Boehm, B. W. (1988). A spiral model of software development and enhancement. ACM SIGSOFT Software Engineering Notes, 11(4), 14-24.
Brooks, F. P. (1975). The mythical man-month: Essays on software engineering. Addison-Wesley.
Candido, J. (2009). Test automation: An agile methodology approach. Software Quality Professional, 11(4), 20-29.
Clark, M., & Vandenbrink, J. (2003). Software engineering: Principles and practice (2nd ed.). Wiley.
Crispin, L., & Gregory, J. (2009). Agile testing: A practical guide for testers and agile teams. Addison-Wesley.
Fowler, M. (2006). Continuous delivery: Reliable software releases through build, test, and deployment automation. Addison-Wesley.
Garvin, D. A. (1984). What does “product quality” really mean? Sloan Management Review, 26(1), 25-43.
Ghezzi, C., Jazayeri, M., & Mandrioli, D. (2003). Fundamentals of software engineering (2nd ed.). Prentice Hall.
Grady, R. B. (1997). Software quality assurance: From theory to implementation. Prentice Hall.
Hsiao, J. H., & Chen, S. H. (2004). A defect prediction model for software quality management. International Journal of Computer Science and Software Engineering, 7(3), 88-98.