A Kidney Algorithm for Pairwise Test Suite Generation

Pairwise testing can greatly minimize the cost of software testing and also increase the ability of fault detection. Nevertheless, generating the most optimal test suite is an NP-complete problem and still an open area for research. The test case generation is the most active area of the pairwise te...

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Main Authors:	Homaid, Ameen A. Ba, Alsewari, Abdulrahman A., Alazzawi, Ammar K., Kamal Z., Zamli
Format:	Article
Language:	English
Published:	American Scientific Publisher 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/19319/ http://umpir.ump.edu.my/id/eprint/19319/ http://umpir.ump.edu.my/id/eprint/19319/ http://umpir.ump.edu.my/id/eprint/19319/1/7.%20A%20Kidney%20Algorithm%20for%20Pairwise%20Test%20Suite%20Generation1.pdf

id	ump-19319
recordtype	eprints
spelling	ump-193192018-11-05T06:37:54Z http://umpir.ump.edu.my/id/eprint/19319/ A Kidney Algorithm for Pairwise Test Suite Generation Homaid, Ameen A. Ba Alsewari, Abdulrahman A. Alazzawi, Ammar K. Kamal Z., Zamli QA76 Computer software Pairwise testing can greatly minimize the cost of software testing and also increase the ability of fault detection. Nevertheless, generating the most optimal test suite is an NP-complete problem and still an open area for research. The test case generation is the most active area of the pairwise testing research. Metaheuristic algorithms have been broadly used for solving difficult optimization problems as well as proving their effectiveness to get most optimal solutions. Kidney algorithm (KA) is a recent metaheuristic algorithm. This study introduces a new pairwise strategy by adapting KA; which is the first time to adapt KA in generating the test suite. The proposed strategy is called Pairwise Kidney Strategy (PKS). This study also highlights the PKS design; in addition, compare its performance with other reported strategies in the literature in terms of test suite size. Experiment results show that PKS has very competitive results as compared with other strategies. American Scientific Publisher 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19319/1/7.%20A%20Kidney%20Algorithm%20for%20Pairwise%20Test%20Suite%20Generation1.pdf Homaid, Ameen A. Ba and Alsewari, Abdulrahman A. and Alazzawi, Ammar K. and Kamal Z., Zamli (2018) A Kidney Algorithm for Pairwise Test Suite Generation. Advanced Science Letters, 24 (10). pp. 7284-7289. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.12929 DOI: 10.1166/asl.2018.12929
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 Homaid, Ameen A. Ba Alsewari, Abdulrahman A. Alazzawi, Ammar K. Kamal Z., Zamli A Kidney Algorithm for Pairwise Test Suite Generation
description	Pairwise testing can greatly minimize the cost of software testing and also increase the ability of fault detection. Nevertheless, generating the most optimal test suite is an NP-complete problem and still an open area for research. The test case generation is the most active area of the pairwise testing research. Metaheuristic algorithms have been broadly used for solving difficult optimization problems as well as proving their effectiveness to get most optimal solutions. Kidney algorithm (KA) is a recent metaheuristic algorithm. This study introduces a new pairwise strategy by adapting KA; which is the first time to adapt KA in generating the test suite. The proposed strategy is called Pairwise Kidney Strategy (PKS). This study also highlights the PKS design; in addition, compare its performance with other reported strategies in the literature in terms of test suite size. Experiment results show that PKS has very competitive results as compared with other strategies.
format	Article
author	Homaid, Ameen A. Ba Alsewari, Abdulrahman A. Alazzawi, Ammar K. Kamal Z., Zamli
author_facet	Homaid, Ameen A. Ba Alsewari, Abdulrahman A. Alazzawi, Ammar K. Kamal Z., Zamli
author_sort	Homaid, Ameen A. Ba
title	A Kidney Algorithm for Pairwise Test Suite Generation
title_short	A Kidney Algorithm for Pairwise Test Suite Generation
title_full	A Kidney Algorithm for Pairwise Test Suite Generation
title_fullStr	A Kidney Algorithm for Pairwise Test Suite Generation
title_full_unstemmed	A Kidney Algorithm for Pairwise Test Suite Generation
title_sort	kidney algorithm for pairwise test suite generation
publisher	American Scientific Publisher
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/19319/ http://umpir.ump.edu.my/id/eprint/19319/ http://umpir.ump.edu.my/id/eprint/19319/ http://umpir.ump.edu.my/id/eprint/19319/1/7.%20A%20Kidney%20Algorithm%20for%20Pairwise%20Test%20Suite%20Generation1.pdf
first_indexed	2023-09-18T22:27:43Z
last_indexed	2023-09-18T22:27:43Z
_version_	1777416078008254464

A Kidney Algorithm for Pairwise Test Suite Generation

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