Titlebook: Combinatorial Testing in Cloud Computing; Wei-Tek Tsai,Guanqiu Qi Book 2017 The Author(s) 2017 Combinatorial Testing.Cloud Computing.Adapt

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SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/c/image/230021.jpg

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Stefanie Baumann,Michael PüschnerThis chapter gives an introduction to combinatorial testing. In particular, it describes the applications and challenges of combinatorial testing in cloud environment and briefly introduces solutions to address challenges. It also discusses and compares existing faulty location analysis solutions of combinatorial testing.

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Introduction,This chapter gives an introduction to software testing and cloud testing. It describes the basic concepts of combinatorial testing in detail, including Latin squares, orthogonal arrays, and covering arrays. The popular combinatorial testing algorithms, such as AETG and IPO, are discussed.

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Combinatorial Testing in Cloud Computing,This chapter gives an introduction to combinatorial testing. In particular, it describes the applications and challenges of combinatorial testing in cloud environment and briefly introduces solutions to address challenges. It also discusses and compares existing faulty location analysis solutions of combinatorial testing.

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Adaptive Fault Detection In Multi-tenancy Saas Systems,tion. Whenever a new component is submitted to the SaaS database, the . algorithm can be applied so that any faulty interactions with new components can be identified to continue to support future tenant applications.

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Test Algebra for Concurrent Combinatorial Testing,old . on the size of interactions considered. In general, these methods do not identify specific faults, but rather indicate the presence or absence of some fault. To identify specific faults, an adaptive testing regime repeatedly constructs and tests configurations in order to determine, for each i

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The Smart Mobility Procedure Modeltion. Whenever a new component is submitted to the SaaS database, the . algorithm can be applied so that any faulty interactions with new components can be identified to continue to support future tenant applications.

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