Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation
Hybrid meta-heuristics algorithms have gained popularity in recent years to solve t-way test suite generation problems due to better exploration and exploitation capabilities of the hybridization. This paper presents the implementation of meta-heuristic search algorithms that are Migrating Birds Opt...
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my.ump.umpir.250932019-06-13T04:58:22Z http://umpir.ump.edu.my/id/eprint/25093/ Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation Hasneeza, L. Zakaria Kamal Z., Zamli Fakhrud, Din QA75 Electronic computers. Computer science Hybrid meta-heuristics algorithms have gained popularity in recent years to solve t-way test suite generation problems due to better exploration and exploitation capabilities of the hybridization. This paper presents the implementation of meta-heuristic search algorithms that are Migrating Birds Optimization (MBO) algorithm and Genetic Algorithm (GA) hybrid to a t-way test data generation strategy. The proposed strategy is called Elitist Hybrid MBO-GA Strategy (EMBO-GA). Based on the published benchmarking results, the result of these strategies is competitive with most existing strategies in terms of the generated test size in many of the parameter configurations. In the case where this strategy is not the most optimal, the resulting test size is sufficiently competitive. 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25093/1/Hybrid%20Migrating%20Birds%20Optimization%20Strategy%20for%20t-way%20Test%20Suite%20Generation1.pdf Hasneeza, L. Zakaria and Kamal Z., Zamli and Fakhrud, Din (2019) Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation. In: 3rd International Conference on Computational Science and Information Management (ICoCSIM 2019), 21-24 March 2019 , Lombok, Indonesia. pp. 1-6.. (Unpublished) |
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QA75 Electronic computers. Computer science Hasneeza, L. Zakaria Kamal Z., Zamli Fakhrud, Din Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation |
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Hybrid meta-heuristics algorithms have gained popularity in recent years to solve t-way test suite generation problems due to better exploration and exploitation capabilities of the hybridization. This paper presents the implementation of meta-heuristic search algorithms that are Migrating Birds Optimization (MBO) algorithm and Genetic Algorithm (GA) hybrid to a t-way test data generation strategy. The proposed strategy is called Elitist Hybrid MBO-GA Strategy (EMBO-GA). Based on the published benchmarking results, the result of these strategies is competitive with most existing strategies in terms of the generated test size in many of the parameter configurations. In the case where this strategy is not the most optimal, the resulting test size is sufficiently competitive. |
format |
Conference or Workshop Item |
author |
Hasneeza, L. Zakaria Kamal Z., Zamli Fakhrud, Din |
author_facet |
Hasneeza, L. Zakaria Kamal Z., Zamli Fakhrud, Din |
author_sort |
Hasneeza, L. Zakaria |
title |
Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation |
title_short |
Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation |
title_full |
Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation |
title_fullStr |
Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation |
title_full_unstemmed |
Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation |
title_sort |
hybrid migrating birds optimization strategy for t-way test suite generation |
publishDate |
2019 |
url |
http://umpir.ump.edu.my/id/eprint/25093/1/Hybrid%20Migrating%20Birds%20Optimization%20Strategy%20for%20t-way%20Test%20Suite%20Generation1.pdf http://umpir.ump.edu.my/id/eprint/25093/ |
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1643669974606151680 |
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13.18916 |