Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation
Many interaction test data generation strategies (termed t-way strategies) have been developed over the past fifteen years. Despite being very useful, those strategies have assumed sequence-less interaction among the input-values. In this paper, we studied recent works in generating test data for se...
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| Format: | Article |
| Language: | English |
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ICIC International
2013
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| Online Access: | http://umpir.ump.edu.my/id/eprint/6908/ http://umpir.ump.edu.my/id/eprint/6908/2/ICICIC2012-771-hazli-zamli.PDF |
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| author | Kamal Z., Zamli Mohd Hazli, Mohammed Zabil |
| author_facet | Kamal Z., Zamli Mohd Hazli, Mohammed Zabil |
| author_sort | Kamal Z., Zamli |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Many interaction test data generation strategies (termed t-way strategies) have been developed over the past fifteen years. Despite being very useful, those strategies have assumed sequence-less interaction among the input-values. In this paper, we studied recent works in generating test data for sequence-based t-way. We then proposed a new approach for generating sequence-based t-way, to overcome the unsupported features of the existing strategies as well as to complement the existing sequence-less t-way strategies. Using combinatorial method, our strategy adopted Bees Algorithm (BA) to generate the test data for sequence t-way. Benchmarking results show that our strategy is comparable, and produces better results in some scenarios. BA is the first bio-inspired AI strategy for sequence t-way. |
| first_indexed | 2025-11-15T01:28:49Z |
| format | Article |
| id | ump-6908 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:28:49Z |
| publishDate | 2013 |
| publisher | ICIC International |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-69082018-01-16T00:34:58Z http://umpir.ump.edu.my/id/eprint/6908/ Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation Kamal Z., Zamli Mohd Hazli, Mohammed Zabil Q Science (General) QA76 Computer software Many interaction test data generation strategies (termed t-way strategies) have been developed over the past fifteen years. Despite being very useful, those strategies have assumed sequence-less interaction among the input-values. In this paper, we studied recent works in generating test data for sequence-based t-way. We then proposed a new approach for generating sequence-based t-way, to overcome the unsupported features of the existing strategies as well as to complement the existing sequence-less t-way strategies. Using combinatorial method, our strategy adopted Bees Algorithm (BA) to generate the test data for sequence t-way. Benchmarking results show that our strategy is comparable, and produces better results in some scenarios. BA is the first bio-inspired AI strategy for sequence t-way. ICIC International 2013-03 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6908/2/ICICIC2012-771-hazli-zamli.PDF Kamal Z., Zamli and Mohd Hazli, Mohammed Zabil (2013) Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation. ICIC Express Letters , 7 (3). pp. 929-933. ISSN 1881-803X. (Published) http://www.ijicic.org/el-7%283%29b.htm |
| spellingShingle | Q Science (General) QA76 Computer software Kamal Z., Zamli Mohd Hazli, Mohammed Zabil Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation |
| title | Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation |
| title_full | Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation |
| title_fullStr | Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation |
| title_full_unstemmed | Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation |
| title_short | Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation |
| title_sort | adopting bees algorithm for sequenced based t-way test data generation |
| topic | Q Science (General) QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/6908/ http://umpir.ump.edu.my/id/eprint/6908/ http://umpir.ump.edu.my/id/eprint/6908/2/ICICIC2012-771-hazli-zamli.PDF |