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Huang, Rubing, Sun, Weifeng, Xu, Yinyin, Chen, Haibo, Towey, Dave and Xia, Xin (2019) A survey on adaptive random testing. IEEE Transactions on Software Engineering . p. 1. ISSN 0098-5589

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Abstract

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.

Item Type:	Article
Keywords:	Adaptive random testing; random testing; survey
Schools/Departments:	University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Computer Science
Identification Number:	https://doi.org/10.1109/TSE.2019.2942921
Depositing User:	QIU, Lulu
Date Deposited:	19 Aug 2020 08:23
Last Modified:	19 Aug 2020 08:23
URI:	https://eprints.nottingham.ac.uk/id/eprint/61352

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