ABC Algorithm for Combinatorial Testing Problem
Computer software is in high demand everywhere in the world. The high dependence on software makes software requirements more complicated. As a result, software testing tasks get costlier and challenging due to a large number of test cases, coupled with the vast number of the system requirements. Th...
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| Format: | Article |
| Language: | English |
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Malaysian Journal Management System
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/19042/ http://umpir.ump.edu.my/id/eprint/19042/1/2877-7789-1-SM%20Alsewari%20MySec.pdf |
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| author | Alsewari, Abdulrahman A. Alazzawi, Ammar K. Rassem, Taha H. M. Nomani, Kabir Homaid, Ameen A. Ba Alsariera, Yazan A. Tairan, Nasser M. Kamal Z., Zamli |
| author_facet | Alsewari, Abdulrahman A. Alazzawi, Ammar K. Rassem, Taha H. M. Nomani, Kabir Homaid, Ameen A. Ba Alsariera, Yazan A. Tairan, Nasser M. Kamal Z., Zamli |
| author_sort | Alsewari, Abdulrahman A. |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Computer software is in high demand everywhere in the world. The high dependence on software makes software requirements more complicated. As a result, software testing tasks get costlier and challenging due to a large number of test cases, coupled with the vast number of the system requirements. This challenge presents the need for reduction of the system redundant test cases. A combinatorial testing approach gives an intended result from the optimization of the system test cases.
Hence, this study implements a combinatorial testing strategy called Artificial Bee Colony Test Generation (ABC-TG) that helps to get rid of some of the current combinatorial testing strategies. Results obtained from the ABC-TG were benchmarked with the results obtained from existing strategies in order to determine the efficiency of the ABC-TG. Finally, ABC-TG shows the efficiency and effectiveness in terms of generating optimum test cases size of some of the case studies and a comparable result with the existing combinatorial testing strategies. |
| first_indexed | 2025-11-15T02:15:27Z |
| format | Article |
| id | ump-19042 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:15:27Z |
| publishDate | 2017 |
| publisher | Malaysian Journal Management System |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-190422018-09-25T08:39:50Z http://umpir.ump.edu.my/id/eprint/19042/ ABC Algorithm for Combinatorial Testing Problem Alsewari, Abdulrahman A. Alazzawi, Ammar K. Rassem, Taha H. M. Nomani, Kabir Homaid, Ameen A. Ba Alsariera, Yazan A. Tairan, Nasser M. Kamal Z., Zamli QA76 Computer software Computer software is in high demand everywhere in the world. The high dependence on software makes software requirements more complicated. As a result, software testing tasks get costlier and challenging due to a large number of test cases, coupled with the vast number of the system requirements. This challenge presents the need for reduction of the system redundant test cases. A combinatorial testing approach gives an intended result from the optimization of the system test cases. Hence, this study implements a combinatorial testing strategy called Artificial Bee Colony Test Generation (ABC-TG) that helps to get rid of some of the current combinatorial testing strategies. Results obtained from the ABC-TG were benchmarked with the results obtained from existing strategies in order to determine the efficiency of the ABC-TG. Finally, ABC-TG shows the efficiency and effectiveness in terms of generating optimum test cases size of some of the case studies and a comparable result with the existing combinatorial testing strategies. Malaysian Journal Management System 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19042/1/2877-7789-1-SM%20Alsewari%20MySec.pdf Alsewari, Abdulrahman A. and Alazzawi, Ammar K. and Rassem, Taha H. and M. Nomani, Kabir and Homaid, Ameen A. Ba and Alsariera, Yazan A. and Tairan, Nasser M. and Kamal Z., Zamli (2017) ABC Algorithm for Combinatorial Testing Problem. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9 (3-3). pp. 85-88. ISSN 2180-1843. (Published) https://journal.utem.edu.my/index.php/jtec/article/view/2877 |
| spellingShingle | QA76 Computer software Alsewari, Abdulrahman A. Alazzawi, Ammar K. Rassem, Taha H. M. Nomani, Kabir Homaid, Ameen A. Ba Alsariera, Yazan A. Tairan, Nasser M. Kamal Z., Zamli ABC Algorithm for Combinatorial Testing Problem |
| title | ABC Algorithm for Combinatorial Testing Problem
|
| title_full | ABC Algorithm for Combinatorial Testing Problem
|
| title_fullStr | ABC Algorithm for Combinatorial Testing Problem
|
| title_full_unstemmed | ABC Algorithm for Combinatorial Testing Problem
|
| title_short | ABC Algorithm for Combinatorial Testing Problem
|
| title_sort | abc algorithm for combinatorial testing problem |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/19042/ http://umpir.ump.edu.my/id/eprint/19042/ http://umpir.ump.edu.my/id/eprint/19042/1/2877-7789-1-SM%20Alsewari%20MySec.pdf |