Variable-strength interaction for t-way test generation strategy

Often, t-way testing is usually adopted to trigger faults due to interactions. As a result, a myriad of useful t-way test generation strategies have been developed in order to generate t-way interaction test suite that is small in size while maintaining adequate t-way interaction coverage. Even thou...

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Bibliographic Details
Published in:International Journal of Advances in Soft Computing and its Applications
Main Author: Abdullah S.A.C.; Soh Z.H.C.; Zamli K.Z.
Format: Article
Language:English
Published: 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894046718&partnerID=40&md5=caf7087dcb051c3d5f05f24fabf5e623
id 2-s2.0-84894046718
spelling 2-s2.0-84894046718
Abdullah S.A.C.; Soh Z.H.C.; Zamli K.Z.
Variable-strength interaction for t-way test generation strategy
2014
International Journal of Advances in Soft Computing and its Applications
5
SPECIALISSUE.3

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894046718&partnerID=40&md5=caf7087dcb051c3d5f05f24fabf5e623
Often, t-way testing is usually adopted to trigger faults due to interactions. As a result, a myriad of useful t-way test generation strategies have been developed in order to generate t-way interaction test suite that is small in size while maintaining adequate t-way interaction coverage. Even though finding an efficient strategy to construct an optimal test suite is very valuable, another aspect to consider is the cost benefits of running the tests, i.e. at high level of interaction strength; the test suite size can become enormous. To balance the need for stronger interaction with the cost of running the tests, variable-strength interaction has been recommended. Hence, to enable support for construction of test suite with variable-strength interaction, a step by step procedure that extends our t-way test generation strategy, called Test Suite Generator (TSG) is highlighted. Benchmarking results against most existing strategies that support variable-strength interaction demonstrate that TSG is able to give competitive results. © SCRG Publication, 2013.

20748523
English
Article

author Abdullah S.A.C.; Soh Z.H.C.; Zamli K.Z.
spellingShingle Abdullah S.A.C.; Soh Z.H.C.; Zamli K.Z.
Variable-strength interaction for t-way test generation strategy
author_facet Abdullah S.A.C.; Soh Z.H.C.; Zamli K.Z.
author_sort Abdullah S.A.C.; Soh Z.H.C.; Zamli K.Z.
title Variable-strength interaction for t-way test generation strategy
title_short Variable-strength interaction for t-way test generation strategy
title_full Variable-strength interaction for t-way test generation strategy
title_fullStr Variable-strength interaction for t-way test generation strategy
title_full_unstemmed Variable-strength interaction for t-way test generation strategy
title_sort Variable-strength interaction for t-way test generation strategy
publishDate 2014
container_title International Journal of Advances in Soft Computing and its Applications
container_volume 5
container_issue SPECIALISSUE.3
doi_str_mv
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894046718&partnerID=40&md5=caf7087dcb051c3d5f05f24fabf5e623
description Often, t-way testing is usually adopted to trigger faults due to interactions. As a result, a myriad of useful t-way test generation strategies have been developed in order to generate t-way interaction test suite that is small in size while maintaining adequate t-way interaction coverage. Even though finding an efficient strategy to construct an optimal test suite is very valuable, another aspect to consider is the cost benefits of running the tests, i.e. at high level of interaction strength; the test suite size can become enormous. To balance the need for stronger interaction with the cost of running the tests, variable-strength interaction has been recommended. Hence, to enable support for construction of test suite with variable-strength interaction, a step by step procedure that extends our t-way test generation strategy, called Test Suite Generator (TSG) is highlighted. Benchmarking results against most existing strategies that support variable-strength interaction demonstrate that TSG is able to give competitive results. © SCRG Publication, 2013.
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