EVALUATING THE IMPACT OF PRIORITIZING TEST CASES EXPLOITING GENETIC ALGORITHM

Abstract

It is essential to maintain the software on time by updating the code based on the changes taking place in the user requirements or technology. Test case prioritization is the regression testing technique that arranges the test cases during the software maintenance stage but it is not feasible to re-run every test case. Genetic algorithm, a search-based algorithm prioritize the test cases successfully and gives optimal outcomes. This paper gives a systematic literature review by prioritizing test cases using genetic algorithm by selecting the most relevant studies with the help of search strategy, quality assessment, data extraction and data synthesis process. We then explored the current research trend of studies with detailed analysis by covering every aspect of existing research. It is observed that the use of appropriate parameters, databases and tools can enhance the results. This review also yields limitations and suggestions for future researchers to understand and enhance the effectiveness of genetic algorithm by prioritizing test cases.