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Conference Paper: Probabilistic adaptive random testing

TitleProbabilistic adaptive random testing
Authors
Issue Date2006
Citation
Proceedings - International Conference On Quality Software, 2006, p. 274-278 How to Cite?
AbstractAdaptive 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.
Persistent Identifierhttp://hdl.handle.net/10722/93410
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorChan, KPen_HK
dc.contributor.authorChen, TYen_HK
dc.contributor.authorTowey, Den_HK
dc.date.accessioned2010-09-25T15:00:18Z-
dc.date.available2010-09-25T15:00:18Z-
dc.date.issued2006en_HK
dc.identifier.citationProceedings - International Conference On Quality Software, 2006, p. 274-278en_HK
dc.identifier.issn1550-6002en_HK
dc.identifier.urihttp://hdl.handle.net/10722/93410-
dc.description.abstractAdaptive 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.en_HK
dc.languageengen_HK
dc.relation.ispartofProceedings - International Conference on Quality Softwareen_HK
dc.titleProbabilistic adaptive random testingen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChan, KP:kpchan@cs.hku.hken_HK
dc.identifier.authorityChan, KP=rp00092en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/QSIC.2006.48en_HK
dc.identifier.scopuseid_2-s2.0-34250707887en_HK
dc.identifier.hkuros129387en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34250707887&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage274en_HK
dc.identifier.epage278en_HK
dc.identifier.scopusauthoridChan, KP=7406032820en_HK
dc.identifier.scopusauthoridChen, TY=13104290200en_HK
dc.identifier.scopusauthoridTowey, D=8362064600en_HK

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