Pairwise Test Suite Generation Using Adaptive Teaching Learning-Based Optimization Algorithm with Remedial Operator

Software systems nowadays have large configuration spaces. Pairwise test design technique is found useful by testers to sample only required configuration options of these systems for exploring errors owing to their interactions. Being a NP-complete problem, pairwise test suite generation problem ha...

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Main Authors:	Fakhrud, Din, Kamal Z., Zamli
Format:	Conference or Workshop Item
Language:	English
Published:	Springer Nature Switzerland 2019
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/27998/ http://umpir.ump.edu.my/id/eprint/27998/ http://umpir.ump.edu.my/id/eprint/27998/1/Pairwise%20Test%20Suite%20Generation%20Using%20Adaptive1.pdf

id	ump-27998
recordtype	eprints
spelling	ump-279982020-03-02T04:18:27Z http://umpir.ump.edu.my/id/eprint/27998/ Pairwise Test Suite Generation Using Adaptive Teaching Learning-Based Optimization Algorithm with Remedial Operator Fakhrud, Din Kamal Z., Zamli QA76 Computer software Software systems nowadays have large configuration spaces. Pairwise test design technique is found useful by testers to sample only required configuration options of these systems for exploring errors owing to their interactions. Being a NP-complete problem, pairwise test suite generation problem has been addressed using several meta-heuristic algorithms including the Fuzzy Adaptive Teaching Learning-based Optimization (ATLBO) algorithm in the literature. ATLBO is a recent enhanced variant of Teaching Learning-based Optimization (TLBO) algorithm that adaptively applies its search operations using a Mamdani-type fuzzy inference system. Presently, ATLBO enters into stagnation or sometimes converges abnormally after some iterations. To address this issue, this paper proposes ATLBO with a remedial operator so as to further improve its searching capabilities. To evaluate the performance of ATLBO with remedial operator, it is used in a strategy called pATLBO_RO for the pairwise test suite generation problem. Experimental results reveal the strong performance of pATLBO_RO against other meta-heuristic and hyper-heuristic based pairwise test suite generation strategies. Springer Nature Switzerland 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27998/1/Pairwise%20Test%20Suite%20Generation%20Using%20Adaptive1.pdf Fakhrud, Din and Kamal Z., Zamli (2019) Pairwise Test Suite Generation Using Adaptive Teaching Learning-Based Optimization Algorithm with Remedial Operator. In: Recent Trends in Data Science and Soft Computing: Proceedings of the 3rd International Conference of Reliable Information and Communication Technology (IRICT2018), 23-24 July 2018 , Kuala Lumpur, Malaysia. pp. 187-195., 843. ISBN 978-3-319-99007-1 https://doi.org/10.1007/978-3-319-99007-1_18
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 Fakhrud, Din Kamal Z., Zamli Pairwise Test Suite Generation Using Adaptive Teaching Learning-Based Optimization Algorithm with Remedial Operator
description	Software systems nowadays have large configuration spaces. Pairwise test design technique is found useful by testers to sample only required configuration options of these systems for exploring errors owing to their interactions. Being a NP-complete problem, pairwise test suite generation problem has been addressed using several meta-heuristic algorithms including the Fuzzy Adaptive Teaching Learning-based Optimization (ATLBO) algorithm in the literature. ATLBO is a recent enhanced variant of Teaching Learning-based Optimization (TLBO) algorithm that adaptively applies its search operations using a Mamdani-type fuzzy inference system. Presently, ATLBO enters into stagnation or sometimes converges abnormally after some iterations. To address this issue, this paper proposes ATLBO with a remedial operator so as to further improve its searching capabilities. To evaluate the performance of ATLBO with remedial operator, it is used in a strategy called pATLBO_RO for the pairwise test suite generation problem. Experimental results reveal the strong performance of pATLBO_RO against other meta-heuristic and hyper-heuristic based pairwise test suite generation strategies.
format	Conference or Workshop Item
author	Fakhrud, Din Kamal Z., Zamli
author_facet	Fakhrud, Din Kamal Z., Zamli
author_sort	Fakhrud, Din
title	Pairwise Test Suite Generation Using Adaptive Teaching Learning-Based Optimization Algorithm with Remedial Operator
title_short	Pairwise Test Suite Generation Using Adaptive Teaching Learning-Based Optimization Algorithm with Remedial Operator
title_full	Pairwise Test Suite Generation Using Adaptive Teaching Learning-Based Optimization Algorithm with Remedial Operator
title_fullStr	Pairwise Test Suite Generation Using Adaptive Teaching Learning-Based Optimization Algorithm with Remedial Operator
title_full_unstemmed	Pairwise Test Suite Generation Using Adaptive Teaching Learning-Based Optimization Algorithm with Remedial Operator
title_sort	pairwise test suite generation using adaptive teaching learning-based optimization algorithm with remedial operator
publisher	Springer Nature Switzerland
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/27998/ http://umpir.ump.edu.my/id/eprint/27998/ http://umpir.ump.edu.my/id/eprint/27998/1/Pairwise%20Test%20Suite%20Generation%20Using%20Adaptive1.pdf
first_indexed	2023-09-18T22:43:55Z
last_indexed	2023-09-18T22:43:55Z
_version_	1777417097331081216

Pairwise Test Suite Generation Using Adaptive Teaching Learning-Based Optimization Algorithm with Remedial Operator

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