Multiobjective Test Case Prioritization Using Test Case Effectiveness: Multicriteria Scoring Method

Modified source code validation is done by regression testing. In testing, the time and resources are limited, in which we have to select minimal test cases from suites reduce execution time. The case minimization process deals with optimization of testing removing redundant or prioritizing cases. This study proposed a prioritization approach based on multiobjective particle swarm (MOPSO) considering minimum time, maximum fault detection ability, coverage. MOPSO algorithm used for parameters including Three datasets selected evaluate technique TreeDataStructure, JodaTime, Triangle. compared no ordering, reverse random ordering evaluating effectiveness. higher values results represent more effectiveness efficiency as other approaches Triangle datasets. result presented 100-index mode relevant low high values; after that, prioritized. experiment conducted three open-source java applications evaluated using metrics inclusiveness, precision, size reduction matrix suite. revealed that all scenarios performed well acceptable mode, 17% 86% effective terms 33% 85% metrics.