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ICSE 2020
Wed 24 June - Thu 16 July 2020
Tue 7 Jul 2020 15:38 - 15:46 at Goguryeo - A2-Testing and Debugging 1 Chair(s): Na Meng

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.

Tue 7 Jul
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15:00 - 15:12
Talk
Technical Papers
Boyuan ChenYork University, Zhen Ming (Jack) JiangYork University
Authorizer link Pre-print
15:12 - 15:24
Talk
Technical Papers
Brittany JohnsonUniversity of Massachusetts Amherst, Yuriy BrunUniversity of Massachusetts Amherst, Alexandra MeliouUniversity of Massachusetts Amherst
Link to publication DOI Pre-print Media Attached
15:24 - 15:32
Talk
Journal First
Yi ZengConcordia University, Jinfu ChenConcordia University, Canada, Weiyi ShangConcordia University, Tse-Hsun (Peter) ChenConcordia University
Authorizer link Pre-print
15:32 - 15:38
Talk
New Ideas and Emerging Results
Jude ArokiamOntario Tech University, Jeremy BradburyOntario Tech University
15:38 - 15:46
Talk
Journal First
Rubing HuangJiangsu University, Weifeng SunJiangsu University, Yinyin XuJiangsu University, Haibo ChenJiangsu University, Dave ToweyUniversity of Nottingham Ningbo China, Xin XiaMonash University
15:46 - 15:58
Talk
Software Engineering in Practice
Nathan ChongAmazon, Byron CookAmazon, Konstantinos KallasUniversity of Pennsylvania, Kareem KhazemAmazon, Felipe R. MonteiroAmazon, Daniel Schwartz-NarbonneAmazon, n.n., Serdar TasiranAmazon, n.n., Michael TautschnigAmazon Web Services, Mark R. TuttleAmazon
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