Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation
T-way testing is a sampling strategy that generates a subset of test cases from a pool of possible tests. Many t-way testing strategies appear in the literature to-date ranging from general computational ones to meta-heuristic based. Owing to its performance, man the meta-heuristic based t-way strat...
| Main Authors: | , , , , , |
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| 格式: | Conference or Workshop Item |
| 语言: | English |
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Association for Computing Machinery
2020
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| 主题: | |
| 在线阅读: | http://umpir.ump.edu.my/id/eprint/32294/1/Latin%20hypercube%20sampling%20Jaya%20algorithm%20based%20strategy%20for%20T-way%20.pdf |
| _version_ | 1825814017161035776 |
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| author | Nasser, Abdullah B. Abdul-Qawy, Antar S. H. Abdullah, Nibras Hujainah, Fadhl Kamal Z., Zamli Ghanem, Waheed A. H. M. |
| author_facet | Nasser, Abdullah B. Abdul-Qawy, Antar S. H. Abdullah, Nibras Hujainah, Fadhl Kamal Z., Zamli Ghanem, Waheed A. H. M. |
| author_sort | Nasser, Abdullah B. |
| collection | UMP |
| description | T-way testing is a sampling strategy that generates a subset of test cases from a pool of possible tests. Many t-way testing strategies appear in the literature to-date ranging from general computational ones to meta-heuristic based. Owing to its performance, man the meta-heuristic based t-way strategies have gained significant attention recently (e.g. Particle Swarm Optimization, Genetic Algorithm, Ant Colony Algorithm, Harmony Search, Jaya Algorithm and Cuckoo Search). Jaya Algorithm (JA) is a new metaheuristic algorithm, has been used for solving different problems. However, losing the search's diversity is a common issue in the metaheuristic algorithm. In order to enhance JA's diversity, enhanced Jaya Algorithm strategy called Latin Hypercube Sampling Jaya Algorithm (LHS-JA) for Test Suite Generation is proposed. Latin Hypercube Sampling (LHS) is a sampling approach that can be used efficiently to improve search diversity. To evaluate the efficiency of LHS-JA, LHS-JA is compared against existing metaheuristic-based t-way strategies. Experimental results have shown promising results as LHS-JA can compete with existing t-way strategies. |
| first_indexed | 2024-03-06T12:52:35Z |
| format | Conference or Workshop Item |
| id | UMPir32294 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:52:35Z |
| publishDate | 2020 |
| publisher | Association for Computing Machinery |
| record_format | dspace |
| spelling | UMPir322942021-11-10T04:52:50Z http://umpir.ump.edu.my/id/eprint/32294/ Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation Nasser, Abdullah B. Abdul-Qawy, Antar S. H. Abdullah, Nibras Hujainah, Fadhl Kamal Z., Zamli Ghanem, Waheed A. H. M. QA76 Computer software T-way testing is a sampling strategy that generates a subset of test cases from a pool of possible tests. Many t-way testing strategies appear in the literature to-date ranging from general computational ones to meta-heuristic based. Owing to its performance, man the meta-heuristic based t-way strategies have gained significant attention recently (e.g. Particle Swarm Optimization, Genetic Algorithm, Ant Colony Algorithm, Harmony Search, Jaya Algorithm and Cuckoo Search). Jaya Algorithm (JA) is a new metaheuristic algorithm, has been used for solving different problems. However, losing the search's diversity is a common issue in the metaheuristic algorithm. In order to enhance JA's diversity, enhanced Jaya Algorithm strategy called Latin Hypercube Sampling Jaya Algorithm (LHS-JA) for Test Suite Generation is proposed. Latin Hypercube Sampling (LHS) is a sampling approach that can be used efficiently to improve search diversity. To evaluate the efficiency of LHS-JA, LHS-JA is compared against existing metaheuristic-based t-way strategies. Experimental results have shown promising results as LHS-JA can compete with existing t-way strategies. Association for Computing Machinery 2020-02-18 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/32294/1/Latin%20hypercube%20sampling%20Jaya%20algorithm%20based%20strategy%20for%20T-way%20.pdf Nasser, Abdullah B. and Abdul-Qawy, Antar S. H. and Abdullah, Nibras and Hujainah, Fadhl and Kamal Z., Zamli and Ghanem, Waheed A. H. M. (2020) Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation. In: ACM International Conference Proceeding Series, 9th International Conference on Software and Computer Applications (ICSCA 2020) , 18 - 21 February 2020 , Langkawi. pp. 105-109.. ISBN 9781450376655 (Published) https://doi.org/10.1145/3384544.3384608 |
| spellingShingle | QA76 Computer software Nasser, Abdullah B. Abdul-Qawy, Antar S. H. Abdullah, Nibras Hujainah, Fadhl Kamal Z., Zamli Ghanem, Waheed A. H. M. Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation |
| title | Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation |
| title_full | Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation |
| title_fullStr | Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation |
| title_full_unstemmed | Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation |
| title_short | Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation |
| title_sort | latin hypercube sampling jaya algorithm based strategy for t way test suite generation |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/32294/1/Latin%20hypercube%20sampling%20Jaya%20algorithm%20based%20strategy%20for%20T-way%20.pdf |
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