Mipog : a parallel t-way minimization strategy for combinatorial testing

Combinatorial testing has been an active research area in recent years. One challenge in this area is dealing with the combinatorial explosion problem, which typically requires a very expensive computational process to find a good test set that covers all the combinations for a given interaction...

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Main Author: Al-Khiro, Mohammed Issam Younis
Format: Thesis
Language:English
Published: 2010
Subjects:
Online Access:http://eprints.usm.my/42484/
http://eprints.usm.my/42484/1/MOHAMMED_ISSAM_YOUNIS_AL-KHIRO_HJ.pdf
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author Al-Khiro, Mohammed Issam Younis
author_facet Al-Khiro, Mohammed Issam Younis
author_sort Al-Khiro, Mohammed Issam Younis
building USM Institutional Repository
collection Online Access
description Combinatorial testing has been an active research area in recent years. One challenge in this area is dealing with the combinatorial explosion problem, which typically requires a very expensive computational process to find a good test set that covers all the combinations for a given interaction strength (t). Parallelization can be an effective approach to manage this computational cost, that is, by taking the recent advancement of multicore and GRID architectures. Motivated by such alluring prospects and challenges, this thesis discusses the design, implementation, and evaluation of an efficient parallelizable t-way strategy, called MIPOG (Modified IPOG) strategy based on its predecessor IPOG (In Parameter Order General) strategy, for systematic t-way test data minimization. Unlike earlier work, the MIPOG optimizes and removes the dependencies between parameter and values. In this manner, MIPOG permits the possibility for exploiting parallel computing.
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spelling usm-424842019-04-12T05:26:46Z http://eprints.usm.my/42484/ Mipog : a parallel t-way minimization strategy for combinatorial testing Al-Khiro, Mohammed Issam Younis TK1-9971 Electrical engineering. Electronics. Nuclear engineering Combinatorial testing has been an active research area in recent years. One challenge in this area is dealing with the combinatorial explosion problem, which typically requires a very expensive computational process to find a good test set that covers all the combinations for a given interaction strength (t). Parallelization can be an effective approach to manage this computational cost, that is, by taking the recent advancement of multicore and GRID architectures. Motivated by such alluring prospects and challenges, this thesis discusses the design, implementation, and evaluation of an efficient parallelizable t-way strategy, called MIPOG (Modified IPOG) strategy based on its predecessor IPOG (In Parameter Order General) strategy, for systematic t-way test data minimization. Unlike earlier work, the MIPOG optimizes and removes the dependencies between parameter and values. In this manner, MIPOG permits the possibility for exploiting parallel computing. 2010-10 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/42484/1/MOHAMMED_ISSAM_YOUNIS_AL-KHIRO_HJ.pdf Al-Khiro, Mohammed Issam Younis (2010) Mipog : a parallel t-way minimization strategy for combinatorial testing. PhD thesis, Universiti Sains Malaysia.
spellingShingle TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Al-Khiro, Mohammed Issam Younis
Mipog : a parallel t-way minimization strategy for combinatorial testing
title Mipog : a parallel t-way minimization strategy for combinatorial testing
title_full Mipog : a parallel t-way minimization strategy for combinatorial testing
title_fullStr Mipog : a parallel t-way minimization strategy for combinatorial testing
title_full_unstemmed Mipog : a parallel t-way minimization strategy for combinatorial testing
title_short Mipog : a parallel t-way minimization strategy for combinatorial testing
title_sort mipog : a parallel t-way minimization strategy for combinatorial testing
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
url http://eprints.usm.my/42484/
http://eprints.usm.my/42484/1/MOHAMMED_ISSAM_YOUNIS_AL-KHIRO_HJ.pdf