Hybrid flower pollination algorithm strategies for t-way test suite generation

The application of meta-heuristic algorithms for t-way testing has recently become prevalent. Consequently, many useful meta-heuristic algorithms have been developed on the basis of the implementation of t-way strategies (where t indicates the interaction strength). Mixed results have been reported...

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Main Authors:	Abdullah, Nasser, Kamal Z., Zamli, Alsewari, Abdulrahman A., Ahmed, Bestoun S.
Format:	Article
Language:	English
Published:	Public Library of Science 2018
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/21141/ http://umpir.ump.edu.my/id/eprint/21141/ http://umpir.ump.edu.my/id/eprint/21141/ http://umpir.ump.edu.my/id/eprint/21141/1/Hybrid%20flower%20pollination%20algorithm%20strategies%20for%20t-way%20test%20suite%20generation-fskkp-2018.pdf

id	ump-21141
recordtype	eprints
spelling	ump-211412018-05-24T06:30:16Z http://umpir.ump.edu.my/id/eprint/21141/ Hybrid flower pollination algorithm strategies for t-way test suite generation Abdullah, Nasser Kamal Z., Zamli Alsewari, Abdulrahman A. Ahmed, Bestoun S. QA75 Electronic computers. Computer science The application of meta-heuristic algorithms for t-way testing has recently become prevalent. Consequently, many useful meta-heuristic algorithms have been developed on the basis of the implementation of t-way strategies (where t indicates the interaction strength). Mixed results have been reported in the literature to highlight the fact that no single strategy appears to be superior compared with other configurations. The hybridization of two or more algorithms can enhance the overall search capabilities, that is, by compensating the limitation of one algorithm with the strength of others. Thus, hybrid variants of the flower pollination algorithm (FPA) are proposed in the current work. Four hybrid variants of FPA are considered by combining FPA with other algorithmic components. The experimental results demonstrate that FPA hybrids overcome the problems of slow convergence in the original FPA and offers statistically superior performance compared with existing t-way strategies in terms of test suite size. Public Library of Science 2018 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/21141/1/Hybrid%20flower%20pollination%20algorithm%20strategies%20for%20t-way%20test%20suite%20generation-fskkp-2018.pdf Abdullah, Nasser and Kamal Z., Zamli and Alsewari, Abdulrahman A. and Ahmed, Bestoun S. (2018) Hybrid flower pollination algorithm strategies for t-way test suite generation. PLoS ONE, 13 (5). pp. 1-24. ISSN 1932-6203 https://doi.org/10.1371/journal.pone.0195187 doi: 10.1371/journal.pone.0195187
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Abdullah, Nasser Kamal Z., Zamli Alsewari, Abdulrahman A. Ahmed, Bestoun S. Hybrid flower pollination algorithm strategies for t-way test suite generation
description	The application of meta-heuristic algorithms for t-way testing has recently become prevalent. Consequently, many useful meta-heuristic algorithms have been developed on the basis of the implementation of t-way strategies (where t indicates the interaction strength). Mixed results have been reported in the literature to highlight the fact that no single strategy appears to be superior compared with other configurations. The hybridization of two or more algorithms can enhance the overall search capabilities, that is, by compensating the limitation of one algorithm with the strength of others. Thus, hybrid variants of the flower pollination algorithm (FPA) are proposed in the current work. Four hybrid variants of FPA are considered by combining FPA with other algorithmic components. The experimental results demonstrate that FPA hybrids overcome the problems of slow convergence in the original FPA and offers statistically superior performance compared with existing t-way strategies in terms of test suite size.
format	Article
author	Abdullah, Nasser Kamal Z., Zamli Alsewari, Abdulrahman A. Ahmed, Bestoun S.
author_facet	Abdullah, Nasser Kamal Z., Zamli Alsewari, Abdulrahman A. Ahmed, Bestoun S.
author_sort	Abdullah, Nasser
title	Hybrid flower pollination algorithm strategies for t-way test suite generation
title_short	Hybrid flower pollination algorithm strategies for t-way test suite generation
title_full	Hybrid flower pollination algorithm strategies for t-way test suite generation
title_fullStr	Hybrid flower pollination algorithm strategies for t-way test suite generation
title_full_unstemmed	Hybrid flower pollination algorithm strategies for t-way test suite generation
title_sort	hybrid flower pollination algorithm strategies for t-way test suite generation
publisher	Public Library of Science
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/21141/ http://umpir.ump.edu.my/id/eprint/21141/ http://umpir.ump.edu.my/id/eprint/21141/ http://umpir.ump.edu.my/id/eprint/21141/1/Hybrid%20flower%20pollination%20algorithm%20strategies%20for%20t-way%20test%20suite%20generation-fskkp-2018.pdf
first_indexed	2023-09-18T22:30:54Z
last_indexed	2023-09-18T22:30:54Z
_version_	1777416279125131264

Hybrid flower pollination algorithm strategies for t-way test suite generation

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