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Article: Automatic goal-oriented classification of failure behaviors for testing XML-based multimedia software applications: An experimental case study

TitleAutomatic goal-oriented classification of failure behaviors for testing XML-based multimedia software applications: An experimental case study
Authors
KeywordsFailure classification
Failure identification
Multimedia application testing
Software testing
Test dimensions
Issue Date2006
PublisherElsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/jss
Citation
Journal Of Systems And Software, 2006, v. 79 n. 5, p. 602-612 How to Cite?
AbstractWhen testing multimedia software applications, we need to overcome important issues such as the forbidding size of the input domains, great difficulties in repeating non-deterministic test outcomes, and the test oracle problem. A statistical testing methodology is proposed. It applies pattern classification techniques enhanced with the notion of test dimensions. Test dimensions are orthogonal properties of associated test cases. Temporal properties are being studied in the experimentation in this paper. For each test dimension, a pattern classifier is trained on the normal and abnormal behaviors. A type of failure is said to be classified if it is recognized by the classifier. Test cases can then be analyzed by the failure pattern recognizers. Experiments show that some test dimensions are more effective than others in failure identification and classification. © 2005 Elsevier Inc. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/43690
ISSN
2023 Impact Factor: 3.7
2023 SCImago Journal Rankings: 1.160
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChan, WKen_HK
dc.contributor.authorCheng, MYen_HK
dc.contributor.authorCheung, SCen_HK
dc.contributor.authorTse, THen_HK
dc.date.accessioned2007-03-23T04:52:30Z-
dc.date.available2007-03-23T04:52:30Z-
dc.date.issued2006en_HK
dc.identifier.citationJournal Of Systems And Software, 2006, v. 79 n. 5, p. 602-612en_HK
dc.identifier.issn0164-1212en_HK
dc.identifier.urihttp://hdl.handle.net/10722/43690-
dc.description.abstractWhen testing multimedia software applications, we need to overcome important issues such as the forbidding size of the input domains, great difficulties in repeating non-deterministic test outcomes, and the test oracle problem. A statistical testing methodology is proposed. It applies pattern classification techniques enhanced with the notion of test dimensions. Test dimensions are orthogonal properties of associated test cases. Temporal properties are being studied in the experimentation in this paper. For each test dimension, a pattern classifier is trained on the normal and abnormal behaviors. A type of failure is said to be classified if it is recognized by the classifier. Test cases can then be analyzed by the failure pattern recognizers. Experiments show that some test dimensions are more effective than others in failure identification and classification. © 2005 Elsevier Inc. All rights reserved.en_HK
dc.format.extent371814 bytes-
dc.format.extent161620 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.languageengen_HK
dc.publisherElsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/jssen_HK
dc.relation.ispartofJournal of Systems and Softwareen_HK
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectFailure classificationen_HK
dc.subjectFailure identificationen_HK
dc.subjectMultimedia application testingen_HK
dc.subjectSoftware testingen_HK
dc.subjectTest dimensionsen_HK
dc.titleAutomatic goal-oriented classification of failure behaviors for testing XML-based multimedia software applications: An experimental case studyen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0164-1212&volume=79&issue=5&spage=602&epage=612&date=2006&atitle=Automatic+goal-oriented+classification+of+failure+behaviors+for+testing+XML-based+multimedia+software+applications:+an+experimental+case+studyen_HK
dc.identifier.emailTse, TH: thtse@cs.hku.hken_HK
dc.identifier.authorityTse, TH=rp00546en_HK
dc.description.naturepostprinten_HK
dc.identifier.doi10.1016/j.jss.2005.05.031en_HK
dc.identifier.scopuseid_2-s2.0-33646027336en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33646027336&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume79en_HK
dc.identifier.issue5en_HK
dc.identifier.spage602en_HK
dc.identifier.epage612en_HK
dc.identifier.isiWOS:000237463400004-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChan, WK=23967779900en_HK
dc.identifier.scopusauthoridCheng, MY=7402260451en_HK
dc.identifier.scopusauthoridCheung, SC=7202472792en_HK
dc.identifier.scopusauthoridTse, TH=7005496974en_HK
dc.identifier.issnl0164-1212-

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