2015
DOI: 10.17485/ijst/2015/v8i30/86661
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Software Regression Test Case Prioritization for Object-Oriented Programs using Genetic Algorithm with Reduced-Fitness Severity

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Cited by 5 publications
(6 citation statements)
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“…On the basis of measured performance gained from the outcomes, GA with decreased strictness of error was able to prioritize chosen test cases with more efficiency as compared to the use of GA with same level of severity of fault and non-prioritized test cases. GA with decreased severity of errors also gives higher priority to designated cases more efficiently when associated to the usage of GA with the similar level of severity of error [18]. In the long run, this success is able to decrease the overall regression esting cost.…”
Section: Machine Learning Approachmentioning
confidence: 95%
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“…On the basis of measured performance gained from the outcomes, GA with decreased strictness of error was able to prioritize chosen test cases with more efficiency as compared to the use of GA with same level of severity of fault and non-prioritized test cases. GA with decreased severity of errors also gives higher priority to designated cases more efficiently when associated to the usage of GA with the similar level of severity of error [18]. In the long run, this success is able to decrease the overall regression esting cost.…”
Section: Machine Learning Approachmentioning
confidence: 95%
“…This method claimed to reduce the cost of regression testing by efficient selection and prioritization of test cases. S. Musa, et al [11] suggested a structure for regression testing for object-oriented software constructed on prolonged system necessity graph model of the program that is being affected. Semantic examination of the code provides a base for this method.…”
Section: Dependency Approachmentioning
confidence: 99%
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“…Maunika et al in [9] exploited Bee colony optimization for test case selection and to improve path coverage. Authors in [10] used genetic algorithm for regression test suite prioritization and produced mutants for object oriented codes. Wasiur Rhmann et al in [11] presented their research in which they applied GA for improving test efficiency in early stages of software development.…”
Section: Related Workmentioning
confidence: 99%
“…Regression test cases selection techniques [8,13,14] chose the most appropriate test cases from the existing test cases such that the costs of performing regression testing are reduced according to the information gathered from the program source code and the changed version or on the program specifications. Test suite minimization techniques attempt to reduce the costs of performing regression testing to have earlier feedback.…”
Section: Introductionmentioning
confidence: 99%