T-way strategy for sequence input interactions test case generation adopting fish swarm algorithm
In Combinatorial Input Interaction (CII) based system, the increasing number of input event causes the increasing number of test cases. Since twenty years many useful t-way strategies have been developed to reduce test case size. In order to reduce test cases several T-way sequence input interaction...
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my.ump.umpir.265602019-12-23T07:50:12Z http://umpir.ump.edu.my/id/eprint/26560/ T-way strategy for sequence input interactions test case generation adopting fish swarm algorithm Rahman, Mostafijur Sultana, Dalia Sabira, Khatun M. F. M., Jusof Syamimi Mardiah, Shaharum Nurhafizah, Abu Talip Yusof Qaiduzzaman, Khandker M. Hasan, Md. Hasibul Rahman, Md. Mushfiqur Hossen, Md. Anwar Begum, Afsana TK Electrical engineering. Electronics Nuclear engineering In Combinatorial Input Interaction (CII) based system, the increasing number of input event causes the increasing number of test cases. Since twenty years many useful t-way strategies have been developed to reduce test case size. In order to reduce test cases several T-way sequence input interaction strategies are explored, such as, Bee Algorithm(BA), Kuhn encoding (K) , ASP with Clasp , CP with Sugar, Erdem (ER) exact encoding, Tarui (TA) Method, U, UR, D and DR, Brain (BR). However, none of them claim that for all test configuration the produced test cases are best. The reason is that the T-way sequence input interaction is NP-Hard problem. In this research, Fish Swarm algorithm is proposed to adapt with T-way sequence input interaction test strategy. The proposed system is compared with the other renowned search-based Tway strategies. The result shows that the proposed system is able to generate feasible and optimal results. Universiti Malaysia Pahang 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26560/1/8.%20T-way%20strategy%20for%20sequence%20input%20interactions%20test.pdf pdf en http://umpir.ump.edu.my/id/eprint/26560/2/8.1%20T-way%20strategy%20for%20sequence%20input%20interactions%20test.pdf Rahman, Mostafijur and Sultana, Dalia and Sabira, Khatun and M. F. M., Jusof and Syamimi Mardiah, Shaharum and Nurhafizah, Abu Talip Yusof and Qaiduzzaman, Khandker M. and Hasan, Md. Hasibul and Rahman, Md. Mushfiqur and Hossen, Md. Anwar and Begum, Afsana (2019) T-way strategy for sequence input interactions test case generation adopting fish swarm algorithm. In: 5th International Conference on Electrical, Control and Computer Engineering (INECCE 2019), 29-30 July 2019 , Swiss Garden Kuantan. pp. 1-12.. (Unpublished) |
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TK Electrical engineering. Electronics Nuclear engineering Rahman, Mostafijur Sultana, Dalia Sabira, Khatun M. F. M., Jusof Syamimi Mardiah, Shaharum Nurhafizah, Abu Talip Yusof Qaiduzzaman, Khandker M. Hasan, Md. Hasibul Rahman, Md. Mushfiqur Hossen, Md. Anwar Begum, Afsana T-way strategy for sequence input interactions test case generation adopting fish swarm algorithm |
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In Combinatorial Input Interaction (CII) based system, the increasing number of input event causes the increasing number of test cases. Since twenty years many useful t-way strategies have been developed to reduce test case size. In order to reduce test cases several T-way sequence input interaction strategies are explored, such as, Bee Algorithm(BA), Kuhn encoding (K) , ASP with Clasp , CP with Sugar, Erdem (ER) exact encoding, Tarui (TA) Method, U, UR, D and DR, Brain (BR). However, none of them claim that for all test configuration the produced test cases are best. The reason is that the T-way sequence input interaction is NP-Hard problem. In this research, Fish Swarm algorithm is proposed to adapt with T-way sequence input interaction test strategy. The proposed system is compared with the other renowned search-based Tway strategies. The result shows that the proposed system is able to generate feasible and optimal results. |
format |
Conference or Workshop Item |
author |
Rahman, Mostafijur Sultana, Dalia Sabira, Khatun M. F. M., Jusof Syamimi Mardiah, Shaharum Nurhafizah, Abu Talip Yusof Qaiduzzaman, Khandker M. Hasan, Md. Hasibul Rahman, Md. Mushfiqur Hossen, Md. Anwar Begum, Afsana |
author_facet |
Rahman, Mostafijur Sultana, Dalia Sabira, Khatun M. F. M., Jusof Syamimi Mardiah, Shaharum Nurhafizah, Abu Talip Yusof Qaiduzzaman, Khandker M. Hasan, Md. Hasibul Rahman, Md. Mushfiqur Hossen, Md. Anwar Begum, Afsana |
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Rahman, Mostafijur |
title |
T-way strategy for sequence input interactions test case generation adopting fish swarm algorithm |
title_short |
T-way strategy for sequence input interactions test case generation adopting fish swarm algorithm |
title_full |
T-way strategy for sequence input interactions test case generation adopting fish swarm algorithm |
title_fullStr |
T-way strategy for sequence input interactions test case generation adopting fish swarm algorithm |
title_full_unstemmed |
T-way strategy for sequence input interactions test case generation adopting fish swarm algorithm |
title_sort |
t-way strategy for sequence input interactions test case generation adopting fish swarm algorithm |
publisher |
Universiti Malaysia Pahang |
publishDate |
2019 |
url |
http://umpir.ump.edu.my/id/eprint/26560/1/8.%20T-way%20strategy%20for%20sequence%20input%20interactions%20test.pdf http://umpir.ump.edu.my/id/eprint/26560/2/8.1%20T-way%20strategy%20for%20sequence%20input%20interactions%20test.pdf http://umpir.ump.edu.my/id/eprint/26560/ |
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1654960242760351744 |
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13.211869 |