The effect of replacement strategies of genetic algorithm in regression test case prioritization of selected test cases
Regression testing is one of the software maintenance activities that is time consuming and expensive. Design-based regression testing approaches have been proposed to address changes at higher levels of abstraction, these approaches may not detect changes in the method body and several of the code...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Medwell Journals
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/46567/ http://psasir.upm.edu.my/id/eprint/46567/1/The%20effect%20of%20replacement%20strategies%20of%20genetic%20algorithm%20in%20regression%20test%20case%20prioritization%20of%20selected%20test%20cases.pdf |
| _version_ | 1848850688799408128 |
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| author | Musa, Samaila Md Sultan, Abu Bakar Abd Ghani, Abdul Azim Baharom, Salmi |
| author_facet | Musa, Samaila Md Sultan, Abu Bakar Abd Ghani, Abdul Azim Baharom, Salmi |
| author_sort | Musa, Samaila |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Regression testing is one of the software maintenance activities that is time consuming and expensive. Design-based regression testing approaches have been proposed to address changes at higher levels of abstraction, these approaches may not detect changes in the method body and several of the code based addresses procedural programs. This study presents an optimized regression test case prioritization of selected test cases for object-oriented software using Genetic algorithm with different replacement strategies. The goal is to compare different replacement strategies of GA and select the best strategy that will make prioritization to order selected test cases based on their fitness. We provide case studies to demonstrate the differences between the strategies. We measured the performances of each replacement strategy in GA by using Average Percentage of rate of Faults Detection (APFD) metric. It was observed from the results that replacement of worst individual and replacing the parent increased the effectiveness of regression testing compared with two other replacement strategies in term of rate of fault detection. |
| first_indexed | 2025-11-15T10:10:16Z |
| format | Article |
| id | upm-46567 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:10:16Z |
| publishDate | 2015 |
| publisher | Medwell Journals |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-465672018-03-27T08:30:31Z http://psasir.upm.edu.my/id/eprint/46567/ The effect of replacement strategies of genetic algorithm in regression test case prioritization of selected test cases Musa, Samaila Md Sultan, Abu Bakar Abd Ghani, Abdul Azim Baharom, Salmi Regression testing is one of the software maintenance activities that is time consuming and expensive. Design-based regression testing approaches have been proposed to address changes at higher levels of abstraction, these approaches may not detect changes in the method body and several of the code based addresses procedural programs. This study presents an optimized regression test case prioritization of selected test cases for object-oriented software using Genetic algorithm with different replacement strategies. The goal is to compare different replacement strategies of GA and select the best strategy that will make prioritization to order selected test cases based on their fitness. We provide case studies to demonstrate the differences between the strategies. We measured the performances of each replacement strategy in GA by using Average Percentage of rate of Faults Detection (APFD) metric. It was observed from the results that replacement of worst individual and replacing the parent increased the effectiveness of regression testing compared with two other replacement strategies in term of rate of fault detection. Medwell Journals 2015 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/46567/1/The%20effect%20of%20replacement%20strategies%20of%20genetic%20algorithm%20in%20regression%20test%20case%20prioritization%20of%20selected%20test%20cases.pdf Musa, Samaila and Md Sultan, Abu Bakar and Abd Ghani, Abdul Azim and Baharom, Salmi (2015) The effect of replacement strategies of genetic algorithm in regression test case prioritization of selected test cases. International Journal of Soft Computing, 10 (6). pp. 359-368. ISSN 1816-9503 http://medwelljournals.com/journalhome.php?jid=1816-9503 10.3923/ijscomp.2015.359.368 |
| spellingShingle | Musa, Samaila Md Sultan, Abu Bakar Abd Ghani, Abdul Azim Baharom, Salmi The effect of replacement strategies of genetic algorithm in regression test case prioritization of selected test cases |
| title | The effect of replacement strategies of genetic algorithm in regression test case prioritization of selected test cases |
| title_full | The effect of replacement strategies of genetic algorithm in regression test case prioritization of selected test cases |
| title_fullStr | The effect of replacement strategies of genetic algorithm in regression test case prioritization of selected test cases |
| title_full_unstemmed | The effect of replacement strategies of genetic algorithm in regression test case prioritization of selected test cases |
| title_short | The effect of replacement strategies of genetic algorithm in regression test case prioritization of selected test cases |
| title_sort | effect of replacement strategies of genetic algorithm in regression test case prioritization of selected test cases |
| url | http://psasir.upm.edu.my/id/eprint/46567/ http://psasir.upm.edu.my/id/eprint/46567/ http://psasir.upm.edu.my/id/eprint/46567/ http://psasir.upm.edu.my/id/eprint/46567/1/The%20effect%20of%20replacement%20strategies%20of%20genetic%20algorithm%20in%20regression%20test%20case%20prioritization%20of%20selected%20test%20cases.pdf |