METHOD FOR MINIMIZING THE TIME CONSUMPTION IN SOFTWARE TESTING PROCESS

METHOD FOR MINIMIZING THE TIME CONSUMPTION IN SOFTWARE TESTING Abstract Software testing is particularly critical for the earlier identification of errors and vulnerabilities during the lifecycle of software development. Optimization of a test case is a collection of the smallest subset of test cases. This causes the bugs in the software product to be easily restored within a minimum time span. The key approaches to addressing problems in the optimization of test cases are the preparation and prioritization of the test cases. In the last few years, various selection and prioritization strategies have been established. Nevertheless, the current approaches involve more expense and time consumption. The growth in the number of objectives often lowers the efficiency of the current techniques. A multi-objective based test case selection and prioritization for the distributed cloud environment is suggested in this invention. This invention helps in minimizing the time consumption in software testing process, by reducing the number of iterations of the test case searching phase. This proposed strategy significantly minimizes the time usage for the testing process without affecting the degree of fault detection. Dataset Prioritized Test Cases Number of Clusters Distance-Based Transposition Cluster Algorithm Similarity Cluster Overall Formation Similarity Resemblance Rearrange Based Cluster test Cases Head Algorithm Fig. 1