An Improved Jaya Algorithm-Based Strategy for T-Way Test Suite Generation

In the field of software testing, several meta-heuristics algorithms have been successfully used for finding an optimized t-way test suite (where t refers to covering level). T-way testing strategies adopt the meta-heuristic algorithms to generate the smallest/optimal test suite. However, the existi...

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Main Authors:	Abdullah, Nasser, Hujainah, Fadhl, Al-Sewari, Abdulrahman A., Kamal Z., Zamli
Format:	Conference or Workshop Item
Language:	English
Published:	Springer 2020
Subjects:	T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/27274/ http://umpir.ump.edu.my/id/eprint/27274/ http://umpir.ump.edu.my/id/eprint/27274/1/Full%20paper%20IRICT2019-IJA%20-3_1.pdf

id	ump-27274
recordtype	eprints
spelling	ump-272742020-01-20T03:02:34Z http://umpir.ump.edu.my/id/eprint/27274/ An Improved Jaya Algorithm-Based Strategy for T-Way Test Suite Generation Abdullah, Nasser Hujainah, Fadhl Al-Sewari, Abdulrahman A. Kamal Z., Zamli T Technology (General) In the field of software testing, several meta-heuristics algorithms have been successfully used for finding an optimized t-way test suite (where t refers to covering level). T-way testing strategies adopt the meta-heuristic algorithms to generate the smallest/optimal test suite. However, the existing t-way strategies’ results show that no single strategy appears to be superior in all problems. The aim of this paper to propose a new variant of Jaya algorithm for generating t-way test suite called Improved Jaya Algorithm (IJA). In fact, the performance of meta-heuristic algorithms highly depends on the intensification and diversification ca-pabilities. IJA enhances the intensification and diversification capabilities by in-troducing new operators search such lévy flight and mutation operator in Jaya Algorithm. Experimental results show that the IJA variant improves the results of original Jaya algorithm, also overcomes the problems of slow convergence of Ja-ya algorithm. Springer 2020 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27274/1/Full%20paper%20IRICT2019-IJA%20-3_1.pdf Abdullah, Nasser and Hujainah, Fadhl and Al-Sewari, Abdulrahman A. and Kamal Z., Zamli (2020) An Improved Jaya Algorithm-Based Strategy for T-Way Test Suite Generation. In: Emerging Trends in Intelligent Computing and Informatics. IRICT 2019, 22-23 September 2019 , Johor Bahru, Johor, Malaysia. pp. 352-361., 1073. ISBN 978-3-030-33582-3 https://doi.org/10.1007/978-3-030-33582-3_34
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Abdullah, Nasser Hujainah, Fadhl Al-Sewari, Abdulrahman A. Kamal Z., Zamli An Improved Jaya Algorithm-Based Strategy for T-Way Test Suite Generation
description	In the field of software testing, several meta-heuristics algorithms have been successfully used for finding an optimized t-way test suite (where t refers to covering level). T-way testing strategies adopt the meta-heuristic algorithms to generate the smallest/optimal test suite. However, the existing t-way strategies’ results show that no single strategy appears to be superior in all problems. The aim of this paper to propose a new variant of Jaya algorithm for generating t-way test suite called Improved Jaya Algorithm (IJA). In fact, the performance of meta-heuristic algorithms highly depends on the intensification and diversification ca-pabilities. IJA enhances the intensification and diversification capabilities by in-troducing new operators search such lévy flight and mutation operator in Jaya Algorithm. Experimental results show that the IJA variant improves the results of original Jaya algorithm, also overcomes the problems of slow convergence of Ja-ya algorithm.
format	Conference or Workshop Item
author	Abdullah, Nasser Hujainah, Fadhl Al-Sewari, Abdulrahman A. Kamal Z., Zamli
author_facet	Abdullah, Nasser Hujainah, Fadhl Al-Sewari, Abdulrahman A. Kamal Z., Zamli
author_sort	Abdullah, Nasser
title	An Improved Jaya Algorithm-Based Strategy for T-Way Test Suite Generation
title_short	An Improved Jaya Algorithm-Based Strategy for T-Way Test Suite Generation
title_full	An Improved Jaya Algorithm-Based Strategy for T-Way Test Suite Generation
title_fullStr	An Improved Jaya Algorithm-Based Strategy for T-Way Test Suite Generation
title_full_unstemmed	An Improved Jaya Algorithm-Based Strategy for T-Way Test Suite Generation
title_sort	improved jaya algorithm-based strategy for t-way test suite generation
publisher	Springer
publishDate	2020
url	http://umpir.ump.edu.my/id/eprint/27274/ http://umpir.ump.edu.my/id/eprint/27274/ http://umpir.ump.edu.my/id/eprint/27274/1/Full%20paper%20IRICT2019-IJA%20-3_1.pdf
first_indexed	2023-09-18T22:42:48Z
last_indexed	2023-09-18T22:42:48Z
_version_	1777417027631185920

An Improved Jaya Algorithm-Based Strategy for T-Way Test Suite Generation

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