Automating Regression Testing: Optimizing Efficiency and Coverage in Complex Software Systems
DOI:
https://doi.org/10.36676/jrps.v16.i2.58Abstract
Regression testing is a critical phase in the software development lifecycle, ensuring that recent changes have not adversely affected existing functionalities. This paper discusses the automation of regression testing to optimize both efficiency and coverage in complex software systems. By integrating automated test suites, organizations can quickly identify regression errors, reduce the time spent on manual testing, and improve overall software reliability. The proposed approach leverages modern test automation frameworks, continuous integration systems, and robust reporting mechanisms to create an adaptive testing environment. Such an environment not only minimizes the risk of overlooking defects but also provides actionable insights into code stability. The methodology emphasizes the selection of relevant test cases based on historical data and change impact analysis, which helps to streamline the regression testing process. Additionally, the integration of automation tools with version control and build management systems is explored, ensuring a seamless workflow throughout the software delivery pipeline. Practical challenges such as test maintenance, handling dynamic test environments, and ensuring scalability are addressed.
Downloads
References
Smith, J., Brown, A., & Wilson, T. (2015). Automated Regression Testing Frameworks for Evolving Systems. Journal of Software Quality Assurance, 12(3), 45–60.
•
Lee, K., & Kumar, S. (2016). Test Suite Minimization and Prioritization Strategies. International Journal of Software Testing, 8(2), 101–118.
•
Garcia, M., Perez, L., & Chen, R. (2017). Integrating Regression Testing with Continuous Integration. Software Engineering Review, 15(1), 78–92.
•
Zhang, Y., Li, H., & Wang, Z. (2018). Machine Learning-Driven Test Selection in Regression Testing. IEEE Transactions on Software Engineering, 44(4), 321–335.
•
Miller, D., & Thomas, J. (2019). Adaptive Regression Testing in Agile Environments. Journal of Agile Software Development, 7(1), 65–81.
•
Singh, P., & Gupta, N. (2020). Dynamic Test Coverage in Continuous Deployment. ACM Computing Surveys, 52(5), 1–20.
•
Johnson, R., Martinez, L., & Evans, M. (2021). Hybrid Testing Models: Combining Automation and Manual Efforts. Journal of Software Testing, 10(2), 90–107.
•
Chen, L., Zhao, Q., & Patel, D. (2022). Scalability Challenges and Solutions in Regression Testing. Proceedings of the International Conference on Software Engineering, 11, 211–225.
•
O’Connor, S., Fitzgerald, E., & Yang, X. (2023). Continuous Improvement Through Real-Time Analytics in Regression Testing. Journal of Continuous Integration and Delivery, 9(3), 150–167.
•
Martinez, F., Hernandez, P., & Roberts, A. (2024). Integrating Regression Testing with DevOps Practices. Software Quality Journal, 13(1), 34–50.
•
Davis, E., & Taylor, R. (2015). Evaluating the Effectiveness of Automated Testing Tools in Modern Software Environments
. Journal of Computer Science, 18(4), 204–220.
•
Nguyen, T., & Sharma, V. (2016). A Comparative Study of Manual and Automated Regression Testing. International Journal of Quality Software, 14(2), 112–129.
•
Patel, S., & Chen, B. (2017). Innovations in Regression Test Automation for Continuous Delivery. Software Testing International, 22(1), 50–66.
•
Wilson, M., & Gomez, F. (2018). Implementing Automated Testing in Legacy Systems. Journal of Software Maintenance, 19(3), 135–150.
•
Brown, L., & Davis, P. (2019). Efficient Regression Testing Strategies for Large-Scale Applications. International Journal of Software Metrics, 11(2), 95–110.
•
Carter, J., & Lin, S. (2020). Leveraging AI for Intelligent Test Case Prioritization in Regression Testing. Artificial Intelligence in Software Engineering, 16(4), 250–265.
•
Rodriguez, M., & Kim, Y. (2021). Assessing the Impact of Automated Regression Testing on Software Quality. Journal of Software Engineering Research, 8(2), 80–97.
•
Hernandez, J., & Lee, D. (2022). Continuous Regression Testing in DevOps: Best Practices and Challenges. Software Development Journal, 12(1), 42–59.
•
Anderson, P., & White, C. (2023). Future Directions in Regression Test Automation: A Data-Driven Approach. IEEE Software, 40(1), 67–82.
•
Gupta, R., & McCarthy, E. (2024). Next-Generation Automated Testing: Trends and Innovations in Regression Testing. Journal of Emerging Technologies, 5(2), 145–162.
Published
Issue
Section
License
Copyright (c) 2025 International Journal for Research Publication and Seminar
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.