Hybridmigrating birds algorithm starategy for t-way test suite generation
Hybrid meta-heuristics algorithms have gained popularity in recent years to solve!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 Optim...
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Online Access: | http://umpir.ump.edu.my/id/eprint/25443/1/46.%20Hybridmigrating%20birds%20algorithm%20starategy%20for%20t-way.pdf http://umpir.ump.edu.my/id/eprint/25443/2/46.1%20Hybridmigrating%20birds%20algorithm%20starategy%20for%20t-way.pdf http://umpir.ump.edu.my/id/eprint/25443/ |
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my.ump.umpir.254432019-11-13T06:24:18Z http://umpir.ump.edu.my/id/eprint/25443/ Hybridmigrating birds algorithm starategy for t-way test suite generation H. L., Zakaria Kamal Z., Zamli Fakhrud, Din QA76 Computer software Hybrid meta-heuristics algorithms have gained popularity in recent years to solve!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 away 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/25443/1/46.%20Hybridmigrating%20birds%20algorithm%20starategy%20for%20t-way.pdf pdf en http://umpir.ump.edu.my/id/eprint/25443/2/46.1%20Hybridmigrating%20birds%20algorithm%20starategy%20for%20t-way.pdf H. L., Zakaria and Kamal Z., Zamli and Fakhrud, Din (2019) Hybridmigrating birds algorithm starategy for t-way test suite generation. In: 3rd International Conference On Computational Science And Information Managemant (ICOCSIM19), 20 - 23 March 2018 , Aruna Senggiri Resort And Convention Hotel,Lombok. pp. 1-6.. (Unpublished) |
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QA76 Computer software H. L., Zakaria Kamal Z., Zamli Fakhrud, Din Hybridmigrating birds algorithm starategy for t-way test suite generation |
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Hybrid meta-heuristics algorithms have gained popularity in recent years to solve!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 away 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 |
H. L., Zakaria Kamal Z., Zamli Fakhrud, Din |
author_facet |
H. L., Zakaria Kamal Z., Zamli Fakhrud, Din |
author_sort |
H. L., Zakaria |
title |
Hybridmigrating birds algorithm starategy for t-way test suite generation |
title_short |
Hybridmigrating birds algorithm starategy for t-way test suite generation |
title_full |
Hybridmigrating birds algorithm starategy for t-way test suite generation |
title_fullStr |
Hybridmigrating birds algorithm starategy for t-way test suite generation |
title_full_unstemmed |
Hybridmigrating birds algorithm starategy for t-way test suite generation |
title_sort |
hybridmigrating birds algorithm starategy for t-way test suite generation |
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2019 |
url |
http://umpir.ump.edu.my/id/eprint/25443/1/46.%20Hybridmigrating%20birds%20algorithm%20starategy%20for%20t-way.pdf http://umpir.ump.edu.my/id/eprint/25443/2/46.1%20Hybridmigrating%20birds%20algorithm%20starategy%20for%20t-way.pdf http://umpir.ump.edu.my/id/eprint/25443/ |
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13.18916 |