A Comprehensive Analysis of Regression Test Case Assessment Using Humpback Whale Optimization

Software development must include regression testing to ensure that changes do not adversely affect already-existing functionality. Yet, it can be expensive in terms of time as well as resource-consuming, particularly for large software systems. Using meta-heuristic optimization objective functions, such as the Whale-Optimized Algorithms (WOA), which select the smallest feasible number of test cases even while attaining maximum coverage, has significantly improved the efficiency of regression testing. In summarizing the WOA algorithm’s application in regression testing, this study emphasizes how well it may reduce the necessary number of tests while maintaining enough coverage. The report also looks at the method’s flaws and suggests potential subsequent study topics. Overall, the results suggest that using WOA in regression testing may result in significant testing labor and resources’ savings.