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Conference Paper: A revisit of adaptive random testing by restriction

TitleA revisit of adaptive random testing by restriction
Authors
KeywordsAdaptive Random Testing
Mirroring
Random Testing
Restricted Random Testing
Software Testing
Issue Date2004
Citation
Proceedings - International Computer Software And Applications Conference, 2004, v. 1, p. 78-85 How to Cite?
AbstractAdaptive Random Testing is a Black Box testing method based on the intuition that Random Testing failure-finding efficiency can be improved upon, in certain situations, by ensuring a more widespread and evenly distributed spread of test cases in the input domain. One way of achieving this distribution is through the use of exclusion zones and restriction, resulting in a method called Restricted Random Testing (RRT). Recent investigations into the RRT method have revealed several interesting and significant insights. A method of reducing the computational overheads of testing methods by partitioning an input domain, and applying the method to only one of the subdomains, mapping the test cases to other subdomains, has recently been introduced. This method, called Mirroring, in addition to alleviating computational costs, has some properties which fit nicely with the insights into RRT, offering solutions to some possible shortcomings of RRT. . In this paper we discuss the RRT method and additional insights; we explain Mirroring; and we detail applications of Mirroring to RRT. The Mirror RRT method proves to be a very attractive variation of RRT. © 2004 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/93078
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorChan, KPen_HK
dc.contributor.authorChen, TYen_HK
dc.contributor.authorKuo, FCen_HK
dc.contributor.authorTowey, Den_HK
dc.date.accessioned2010-09-25T14:50:14Z-
dc.date.available2010-09-25T14:50:14Z-
dc.date.issued2004en_HK
dc.identifier.citationProceedings - International Computer Software And Applications Conference, 2004, v. 1, p. 78-85en_HK
dc.identifier.issn0730-3157en_HK
dc.identifier.urihttp://hdl.handle.net/10722/93078-
dc.description.abstractAdaptive Random Testing is a Black Box testing method based on the intuition that Random Testing failure-finding efficiency can be improved upon, in certain situations, by ensuring a more widespread and evenly distributed spread of test cases in the input domain. One way of achieving this distribution is through the use of exclusion zones and restriction, resulting in a method called Restricted Random Testing (RRT). Recent investigations into the RRT method have revealed several interesting and significant insights. A method of reducing the computational overheads of testing methods by partitioning an input domain, and applying the method to only one of the subdomains, mapping the test cases to other subdomains, has recently been introduced. This method, called Mirroring, in addition to alleviating computational costs, has some properties which fit nicely with the insights into RRT, offering solutions to some possible shortcomings of RRT. . In this paper we discuss the RRT method and additional insights; we explain Mirroring; and we detail applications of Mirroring to RRT. The Mirror RRT method proves to be a very attractive variation of RRT. © 2004 IEEE.en_HK
dc.languageengen_HK
dc.relation.ispartofProceedings - International Computer Software and Applications Conferenceen_HK
dc.subjectAdaptive Random Testingen_HK
dc.subjectMirroringen_HK
dc.subjectRandom Testingen_HK
dc.subjectRestricted Random Testingen_HK
dc.subjectSoftware Testingen_HK
dc.titleA revisit of adaptive random testing by restrictionen_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.scopuseid_2-s2.0-18744392258en_HK
dc.identifier.hkuros129388en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-18744392258&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume1en_HK
dc.identifier.spage78en_HK
dc.identifier.epage85en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChan, KP=7406032820en_HK
dc.identifier.scopusauthoridChen, TY=13104290200en_HK
dc.identifier.scopusauthoridKuo, FC=7006690410en_HK
dc.identifier.scopusauthoridTowey, D=8362064600en_HK

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