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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Main Authors:	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
Format:	Article
Language:	English
Published:	Malaysian Journal Management System 2017
Subjects:	QA76 Computer software
Online Access:	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

id	ump-19042
recordtype	eprints
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 https://journal.utem.edu.my/index.php/jtec/article/view/2877
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
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
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.
format	Article
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.
title	ABC Algorithm for Combinatorial Testing Problem
title_short	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_sort	abc algorithm for combinatorial testing problem
publisher	Malaysian Journal Management System
publishDate	2017
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
first_indexed	2023-09-18T22:27:14Z
last_indexed	2023-09-18T22:27:14Z
_version_	1777416048072458240

ABC Algorithm for Combinatorial Testing Problem

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