Artificial Bee Colony Algorithm for Pairwise Test Generation

Our dependence on software applications has become dramatic in many activities of our daily life as they help to increase the efficiency of our tasks. These software applications have many sets of input values, parameters, software/hardware environments and system conditions, which need to be tested...

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Main Authors:	Alazzawi, Ammar K., Homaid, Ameen A. Ba, Alomoush, Alaa A., Alsewari, Abdulrahman A.
Format:	Article
Language:	English
Published:	Universiti Teknikal Malaysia Melaka (UTeM) 2017
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/17129/ http://umpir.ump.edu.my/id/eprint/17129/ http://umpir.ump.edu.my/id/eprint/17129/1/Artificial%20Bee%20Colony%20Algorithm%20for%20Pairwise%20Test.pdf

id	ump-17129
recordtype	eprints
spelling	ump-171292017-07-19T04:43:19Z http://umpir.ump.edu.my/id/eprint/17129/ Artificial Bee Colony Algorithm for Pairwise Test Generation Alazzawi, Ammar K. Homaid, Ameen A. Ba Alomoush, Alaa A. Alsewari, Abdulrahman A. QA76 Computer software Our dependence on software applications has become dramatic in many activities of our daily life as they help to increase the efficiency of our tasks. These software applications have many sets of input values, parameters, software/hardware environments and system conditions, which need to be tested to ensure software reliability and quality. However, the whole comprehensive software testing is virtually not possible due to marketing pressure and resource constraints. In an attempt to solve this problem, there has been a development of a number of sampling and pairwise strategies in the literature. In this paper, we evaluated and proposed a pairwise strategy named Pairwise Artificial Bee Colony algorithm (PABC). According to the benchmarking results, the PABC strategies outdo some existing strategies to generate a test case in many of the system configurations taken into consideration. In a case where PABC is not at its optimal stage or its best performance, the experiments of a test case are effectively competitive. PABC progresses as a means to achieve the effective use of the artificial bee colony algorithm for pairwise testing reduction. Universiti Teknikal Malaysia Melaka (UTeM) 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17129/1/Artificial%20Bee%20Colony%20Algorithm%20for%20Pairwise%20Test.pdf Alazzawi, Ammar K. and Homaid, Ameen A. Ba and Alomoush, Alaa A. and Alsewari, Abdulrahman A. (2017) Artificial Bee Colony Algorithm for Pairwise Test Generation. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9 (1-2). pp. 103-108. ISSN 2180-1843(print); 2289-8131(online) http://journal.utem.edu.my/index.php/jtec/article/view/1666
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 Alazzawi, Ammar K. Homaid, Ameen A. Ba Alomoush, Alaa A. Alsewari, Abdulrahman A. Artificial Bee Colony Algorithm for Pairwise Test Generation
description	Our dependence on software applications has become dramatic in many activities of our daily life as they help to increase the efficiency of our tasks. These software applications have many sets of input values, parameters, software/hardware environments and system conditions, which need to be tested to ensure software reliability and quality. However, the whole comprehensive software testing is virtually not possible due to marketing pressure and resource constraints. In an attempt to solve this problem, there has been a development of a number of sampling and pairwise strategies in the literature. In this paper, we evaluated and proposed a pairwise strategy named Pairwise Artificial Bee Colony algorithm (PABC). According to the benchmarking results, the PABC strategies outdo some existing strategies to generate a test case in many of the system configurations taken into consideration. In a case where PABC is not at its optimal stage or its best performance, the experiments of a test case are effectively competitive. PABC progresses as a means to achieve the effective use of the artificial bee colony algorithm for pairwise testing reduction.
format	Article
author	Alazzawi, Ammar K. Homaid, Ameen A. Ba Alomoush, Alaa A. Alsewari, Abdulrahman A.
author_facet	Alazzawi, Ammar K. Homaid, Ameen A. Ba Alomoush, Alaa A. Alsewari, Abdulrahman A.
author_sort	Alazzawi, Ammar K.
title	Artificial Bee Colony Algorithm for Pairwise Test Generation
title_short	Artificial Bee Colony Algorithm for Pairwise Test Generation
title_full	Artificial Bee Colony Algorithm for Pairwise Test Generation
title_fullStr	Artificial Bee Colony Algorithm for Pairwise Test Generation
title_full_unstemmed	Artificial Bee Colony Algorithm for Pairwise Test Generation
title_sort	artificial bee colony algorithm for pairwise test generation
publisher	Universiti Teknikal Malaysia Melaka (UTeM)
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/17129/ http://umpir.ump.edu.my/id/eprint/17129/ http://umpir.ump.edu.my/id/eprint/17129/1/Artificial%20Bee%20Colony%20Algorithm%20for%20Pairwise%20Test.pdf
first_indexed	2023-09-18T22:23:25Z
last_indexed	2023-09-18T22:23:25Z
_version_	1777415807607767040

Artificial Bee Colony Algorithm for Pairwise Test Generation

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