Probabilistic adaptive random testing

doi:10.1109/QSIC.2006.48

Details of Research Outputs

Title	Probabilistic adaptive random testing
Creator	Chan，Kwok Ping 1; Chen，T. Y.2; Towey，Dave 3
Date Issued	2006
Source Publication	Proceedings - International Conference on Quality Software
ISSN	1550-6002
Pages	274-278
Abstract	Adaptive Random Testing (ART) methods are Software Testing methods which are based on Random Testing, but which use additional mechanisms to ensure more even and widespread distributions of test cases over an input domain. Restricted Random Testing (RRT) is a version of ART which uses exclusion regions and restricts test case generation to outside of these regions. RRT has been found to perform very well, but its use of strict exclusion regions (from within which test cases cannot be generated) has prompted an investigation into the possibility of modifying the RRT method such that all portions of the Input Domain remain available for test case generation throughout the duration of the algorithm. In this paper, we present a probabilistic approach, Probabilistic ART (PART), and explain two different implementations. Preliminary empirical data supporting the methods is also examined. © 2006 IEEE.
DOI	10.1109/QSIC.2006.48
URL	View source
Language	英语English
Scopus ID	2-s2.0-34250707887
Citation statistics	Cited Times [WOS]:0 [WOS Record] [Related Records in WOS]
Document Type	Conference paper
Identifier	http://repository.uic.edu.cn/handle/39GCC9TT/6666
Collection	Beijing Normal-Hong Kong Baptist University
Corresponding Author	Chan，Kwok Ping
Affiliation	1.Department of Computer Science,University of Hong Kong,Pokfulam Road,Hong Kong,Hong Kong 2.Faculty of Information and Communication Technologies,Swinburne University of Technology,Hawthorn, 3122,Australia 3.Division of Science and Technology,BNU-HKBU UIC,Jinfeng Road,Zhuhai, Guangdong Province 519085,China
Recommended Citation GB/T 7714	Chan，Kwok Ping,Chen，T. Y.,Towey，Dave. Probabilistic adaptive random testing[C], 2006: 274-278.

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