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: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://eprints.usm.my/42484/1/MOHAMMED_ISSAM_YOUNIS_AL-KHIRO_HJ.pdf |
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| Summary: | 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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