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A Survey on Adaptive Random Testing

delete2021-10-01
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OA
AI
R
Rubing Huang *
W
Weifeng Sun
Y
Yinyin Xu
陈
陈海波 (Haibo Chen)
D
Dave Towey
X
Xin Xia
DOI:10.1109/TSE.2019.2942921delete
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摘要

摘要

En 中文
Random testing (RT) is a well-studied testing method that has been widely applied to the testing of many applications, including embedded software systems, SQL database systems, and Android applications. Adaptive random testing (ART) aims to enhance RT's failure-detection ability by more evenly spreading the test cases over the input domain. Since its introduction in 2001, there have been many contributions to the development of ART, including various approaches, implementations, assessment and evaluation methods, and applications. This paper provides a comprehensive survey on ART, classifying techniques, summarizing application areas, and analyzing experimental evaluations. This paper also addresses some misconceptions about ART, and identifies open research challenges to be further investigated in the future work.
Keyword:
Subspace constraints
Testing
Libraries
Software
Power capacitors
Strips
Art
Adaptive random testing
random testing
survey
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IEEE Transactions on Software Engineering
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