General Variable Strength T-Way Strategy Supporting Flexible Interactions

Ensuring conformance as well as establishing quality, software testing is an integral part of software engineering lifecycle. However, due to resource and time-to-market constraints, testing all exhaustive possibilities is impossible in nearly all practical testing problems. Considering the aforeme...

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Main Authors:	Kamal Z., Zamli, Rozmie Razif, Othman, Nugroho, Lukito Edi
Format:	Article
Language:	English
Published:	Maejo University 2012
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/6931/ http://umpir.ump.edu.my/id/eprint/6931/ http://umpir.ump.edu.my/id/eprint/6931/1/Othman_Zamli_Nurugho_Maejo_415-429.PDF

id	ump-6931
recordtype	eprints
spelling	ump-69312018-01-16T01:08:57Z http://umpir.ump.edu.my/id/eprint/6931/ General Variable Strength T-Way Strategy Supporting Flexible Interactions Kamal Z., Zamli Rozmie Razif, Othman Nugroho, Lukito Edi QA75 Electronic computers. Computer science QA76 Computer software Ensuring conformance as well as establishing quality, software testing is an integral part of software engineering lifecycle. However, due to resource and time-to-market constraints, testing all exhaustive possibilities is impossible in nearly all practical testing problems. Considering the aforementioned constraints, much research is now focusing on a sampling technique based on interaction testing (termed t-way strategy). Although helpful, most existing t-way strategies (e.g. AETG, IPOG and GTWay) assume that all parameters have uniform interaction. However, in reality, the interaction between parameters is rarely uniform. Some parameters may not even interact rendering wasted testing efforts. As a result, a number of newly developed t-way strategies that considers variable strength interaction based on input-output relationships have been developed in the literature e.g. Union, ParaOrder and Density. Although useful, these strategies often lack in optimality i.e. in term of the generated test size. Furthermore, no single strategy appears to be dominant as the optimal generation of t-way interaction test suite is considered NP hard problem. Motivated by the abovementioned challenges, this paper proposes and implements a new strategy, called General Variable Strength (GVS). It is demonstrated that GVS, in some cases, produces better results than other competing strategies. Maejo University 2012-12 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6931/1/Othman_Zamli_Nurugho_Maejo_415-429.PDF Kamal Z., Zamli and Rozmie Razif, Othman and Nugroho, Lukito Edi (2012) General Variable Strength T-Way Strategy Supporting Flexible Interactions. Maejo International Journal of Science and Technology , 6 (3). pp. 415-429. ISSN 1905-7873 http://www.mijst.mju.ac.th/vol6/415-429.pdf
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 QA76 Computer software
spellingShingle	QA75 Electronic computers. Computer science QA76 Computer software Kamal Z., Zamli Rozmie Razif, Othman Nugroho, Lukito Edi General Variable Strength T-Way Strategy Supporting Flexible Interactions
description	Ensuring conformance as well as establishing quality, software testing is an integral part of software engineering lifecycle. However, due to resource and time-to-market constraints, testing all exhaustive possibilities is impossible in nearly all practical testing problems. Considering the aforementioned constraints, much research is now focusing on a sampling technique based on interaction testing (termed t-way strategy). Although helpful, most existing t-way strategies (e.g. AETG, IPOG and GTWay) assume that all parameters have uniform interaction. However, in reality, the interaction between parameters is rarely uniform. Some parameters may not even interact rendering wasted testing efforts. As a result, a number of newly developed t-way strategies that considers variable strength interaction based on input-output relationships have been developed in the literature e.g. Union, ParaOrder and Density. Although useful, these strategies often lack in optimality i.e. in term of the generated test size. Furthermore, no single strategy appears to be dominant as the optimal generation of t-way interaction test suite is considered NP hard problem. Motivated by the abovementioned challenges, this paper proposes and implements a new strategy, called General Variable Strength (GVS). It is demonstrated that GVS, in some cases, produces better results than other competing strategies.
format	Article
author	Kamal Z., Zamli Rozmie Razif, Othman Nugroho, Lukito Edi
author_facet	Kamal Z., Zamli Rozmie Razif, Othman Nugroho, Lukito Edi
author_sort	Kamal Z., Zamli
title	General Variable Strength T-Way Strategy Supporting Flexible Interactions
title_short	General Variable Strength T-Way Strategy Supporting Flexible Interactions
title_full	General Variable Strength T-Way Strategy Supporting Flexible Interactions
title_fullStr	General Variable Strength T-Way Strategy Supporting Flexible Interactions
title_full_unstemmed	General Variable Strength T-Way Strategy Supporting Flexible Interactions
title_sort	general variable strength t-way strategy supporting flexible interactions
publisher	Maejo University
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/6931/ http://umpir.ump.edu.my/id/eprint/6931/ http://umpir.ump.edu.my/id/eprint/6931/1/Othman_Zamli_Nurugho_Maejo_415-429.PDF
first_indexed	2023-09-18T22:03:06Z
last_indexed	2023-09-18T22:03:06Z
_version_	1777414529370554368

General Variable Strength T-Way Strategy Supporting Flexible Interactions

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