Comparative evaluation of genetic algorithm-based test case optimization
Software testing is a crucial phase in software development process although it consumes more time and cost of software development. Researchers have proposed several approaches focusing on helping software testers to reduce the execution time and cost of the testing process. Test case optimization...
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| Format: | Article |
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African Journals Online
2018
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| _version_ | 1796863511909892096 |
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| author | Mohd. Ismail, Izwan Wan Kadir, Wan Mohd. Nasir Hassan, R. |
| author_facet | Mohd. Ismail, Izwan Wan Kadir, Wan Mohd. Nasir Hassan, R. |
| author_sort | Mohd. Ismail, Izwan |
| collection | ePrints |
| description | Software testing is a crucial phase in software development process although it consumes more time and cost of software development. Researchers have proposed several approaches focusing on helping software testers to reduce the execution time and cost of the testing process. Test case optimization is a multi-objective approach that has become one of the best solutions to overcome these problems. Test case optimization focusing on reducing the number of test cases in the test suite that may reduce the overall testing time, cost and effort of software testers especially in regression testing. This paper presents the comparative evaluation between test case optimization techniques that are based on Genetic Algorithm (GA). The evaluation is based on five criteria i.e. technique objectives, applied fitness function, contributions, the percentage of the reduced test cases, fault detection capability, and technique limitations. The evaluation results able identify the gaps in the existing GA based test case optimization approaches and provide insight in determining the potential research directions in this area. |
| first_indexed | 2024-03-05T20:27:52Z |
| format | Article |
| id | utm.eprints-82070 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:27:52Z |
| publishDate | 2018 |
| publisher | African Journals Online |
| record_format | dspace |
| spelling | utm.eprints-820702019-10-24T03:58:52Z http://eprints.utm.my/82070/ Comparative evaluation of genetic algorithm-based test case optimization Mohd. Ismail, Izwan Wan Kadir, Wan Mohd. Nasir Hassan, R. QA75 Electronic computers. Computer science Software testing is a crucial phase in software development process although it consumes more time and cost of software development. Researchers have proposed several approaches focusing on helping software testers to reduce the execution time and cost of the testing process. Test case optimization is a multi-objective approach that has become one of the best solutions to overcome these problems. Test case optimization focusing on reducing the number of test cases in the test suite that may reduce the overall testing time, cost and effort of software testers especially in regression testing. This paper presents the comparative evaluation between test case optimization techniques that are based on Genetic Algorithm (GA). The evaluation is based on five criteria i.e. technique objectives, applied fitness function, contributions, the percentage of the reduced test cases, fault detection capability, and technique limitations. The evaluation results able identify the gaps in the existing GA based test case optimization approaches and provide insight in determining the potential research directions in this area. African Journals Online 2018 Article PeerReviewed Mohd. Ismail, Izwan and Wan Kadir, Wan Mohd. Nasir and Hassan, R. (2018) Comparative evaluation of genetic algorithm-based test case optimization. Journal Of Fundamental And Applied Sciences, 10 (2S). pp. 74-90. ISSN 1112-9867 https://www.ajol.info/index.php/jfas/article/view/171345 |
| spellingShingle | QA75 Electronic computers. Computer science Mohd. Ismail, Izwan Wan Kadir, Wan Mohd. Nasir Hassan, R. Comparative evaluation of genetic algorithm-based test case optimization |
| title | Comparative evaluation of genetic algorithm-based test case optimization |
| title_full | Comparative evaluation of genetic algorithm-based test case optimization |
| title_fullStr | Comparative evaluation of genetic algorithm-based test case optimization |
| title_full_unstemmed | Comparative evaluation of genetic algorithm-based test case optimization |
| title_short | Comparative evaluation of genetic algorithm-based test case optimization |
| title_sort | comparative evaluation of genetic algorithm based test case optimization |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT mohdismailizwan comparativeevaluationofgeneticalgorithmbasedtestcaseoptimization AT wankadirwanmohdnasir comparativeevaluationofgeneticalgorithmbasedtestcaseoptimization AT hassanr comparativeevaluationofgeneticalgorithmbasedtestcaseoptimization |