Fuzzy adaptive teaching learning-based optimization strategy for pairwise testing

Pairwise strategies have tested effectively a range of software and hardware systems. These testing strategies offer solutions that can substitute exhaustive testing. In simple terms, a pairwise testing strategy significantly minimizes large input parameter values (or configuration options) of a sys...

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Main Authors:	Din, Fakhrud, Kamal Z., Zamli
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2017
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/22594/ http://umpir.ump.edu.my/id/eprint/22594/ http://umpir.ump.edu.my/id/eprint/22594/7/Fuzzy%20adaptive%20teaching%20learning-based%20optimization%20strategy%20for%20pairwise%20testing.pdf http://umpir.ump.edu.my/id/eprint/22594/8/Fuzzy%20adaptive%20teaching%20learning-based%20optimization%20strategy%20for%20pairwise%20testing.pdf

id	ump-22594
recordtype	eprints
spelling	ump-225942019-06-10T02:19:20Z http://umpir.ump.edu.my/id/eprint/22594/ Fuzzy adaptive teaching learning-based optimization strategy for pairwise testing Din, Fakhrud Kamal Z., Zamli QA75 Electronic computers. Computer science Pairwise strategies have tested effectively a range of software and hardware systems. These testing strategies offer solutions that can substitute exhaustive testing. In simple terms, a pairwise testing strategy significantly minimizes large input parameter values (or configuration options) of a system into a smaller set based on pairwise interaction (or combination). Fuzzy Adaptive Teaching Learning-based Optimization (ATLBO) algorithm is an improved form of Teaching Learning-based Optimization (TLBO) algorithm. ATLBO employs Mamdani fuzzy inference system to select adaptively either teacher phase or learner phase based on performance instead of blind sequential application as in original TLBO. In this paper, two pairwise testing strategies based on ATLBO and TLBO are proposed. Experimental results suggest that the proposed strategies are capable to be part of testers’ toolkit as they outperformed competing meta-heuristic based pairwise testing strategies and tools on many pairwise benchmarks. Moreover, ATLBO based strategy generated optimal pairwise test suites than the one based on TLBO. IEEE 2017-12-01 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22594/7/Fuzzy%20adaptive%20teaching%20learning-based%20optimization%20strategy%20for%20pairwise%20testing.pdf pdf en http://umpir.ump.edu.my/id/eprint/22594/8/Fuzzy%20adaptive%20teaching%20learning-based%20optimization%20strategy%20for%20pairwise%20testing.pdf Din, Fakhrud and Kamal Z., Zamli (2017) Fuzzy adaptive teaching learning-based optimization strategy for pairwise testing. In: 7th IEEE International Conference on System Engineering and Technology (ICSET 2017), 2-3 October 2017 , Shah Alam; Malaysia. pp. 17-22.. ISBN 978-153860383-3 https://doi.org/10.1109/ICSEngT.2017.8123413
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Din, Fakhrud Kamal Z., Zamli Fuzzy adaptive teaching learning-based optimization strategy for pairwise testing
description	Pairwise strategies have tested effectively a range of software and hardware systems. These testing strategies offer solutions that can substitute exhaustive testing. In simple terms, a pairwise testing strategy significantly minimizes large input parameter values (or configuration options) of a system into a smaller set based on pairwise interaction (or combination). Fuzzy Adaptive Teaching Learning-based Optimization (ATLBO) algorithm is an improved form of Teaching Learning-based Optimization (TLBO) algorithm. ATLBO employs Mamdani fuzzy inference system to select adaptively either teacher phase or learner phase based on performance instead of blind sequential application as in original TLBO. In this paper, two pairwise testing strategies based on ATLBO and TLBO are proposed. Experimental results suggest that the proposed strategies are capable to be part of testers’ toolkit as they outperformed competing meta-heuristic based pairwise testing strategies and tools on many pairwise benchmarks. Moreover, ATLBO based strategy generated optimal pairwise test suites than the one based on TLBO.
format	Conference or Workshop Item
author	Din, Fakhrud Kamal Z., Zamli
author_facet	Din, Fakhrud Kamal Z., Zamli
author_sort	Din, Fakhrud
title	Fuzzy adaptive teaching learning-based optimization strategy for pairwise testing
title_short	Fuzzy adaptive teaching learning-based optimization strategy for pairwise testing
title_full	Fuzzy adaptive teaching learning-based optimization strategy for pairwise testing
title_fullStr	Fuzzy adaptive teaching learning-based optimization strategy for pairwise testing
title_full_unstemmed	Fuzzy adaptive teaching learning-based optimization strategy for pairwise testing
title_sort	fuzzy adaptive teaching learning-based optimization strategy for pairwise testing
publisher	IEEE
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/22594/ http://umpir.ump.edu.my/id/eprint/22594/ http://umpir.ump.edu.my/id/eprint/22594/7/Fuzzy%20adaptive%20teaching%20learning-based%20optimization%20strategy%20for%20pairwise%20testing.pdf http://umpir.ump.edu.my/id/eprint/22594/8/Fuzzy%20adaptive%20teaching%20learning-based%20optimization%20strategy%20for%20pairwise%20testing.pdf
first_indexed	2023-09-18T22:33:43Z
last_indexed	2023-09-18T22:33:43Z
_version_	1777416456342863872

Fuzzy adaptive teaching learning-based optimization strategy for pairwise testing

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