MMFC-ART: a Fixed-size-Candidate-set Adaptive Random Testing approach based on the modified Metric-Memory tree

2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)(2021)

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摘要
Adaptive random testing (ART) improves the failure-detection effectiveness of Random testing (RT) by making test cases more evenly distributed in the input domain. The Fixed-size-Candidate-set ART (FSCS-ART) is one of the most classical algorithms, which selects the candidate test case furthest from the previously executed test case as the next test case. However, when the number of executed test ...
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关键词
Conferences,Computational modeling,Subspace constraints,Software quality,Power capacitors,Software reliability,Security
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