Automating Regression Testing: Optimizing Efficiency and Coverage in Complex Software Systems

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.