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dc.contributor.advisorShimeall, Timothy J.
dc.contributor.authorHilaris, Alexander E.
dc.date.accessioned2013-02-15T23:31:23Z
dc.date.available2013-02-15T23:31:23Z
dc.date.issued1994-03
dc.identifier.urihttp://hdl.handle.net/10945/28160
dc.description.abstractPrevious work (Ginn, 1991) showed that faults in a program tend to cluster when viewed by the variables that affect execution and propagation of the fault (structural clustering). However, that study was quite preliminary and local in its investigation. This thesis examines clustering from two other perspectives, taxonomical (type of faults) and functional (area of affected functionality). The hypothesis tested was that faults tend to cluster when viewed from these perspectivesen_US
dc.description.urihttp://archive.org/details/empiricalapproac00hila
dc.format.extent177 p.;28 cm.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.subject.lcshComputer Scienceen_US
dc.titleAn empirical approach to logical clustering of software failure regionsen_US
dc.typeThesisen_US
dc.contributor.corporateNA
dc.contributor.schoolNA
dc.contributor.departmentComputer Science
dc.description.funderNAen_US
dc.description.recognitionNAen_US
dc.description.serviceHellenic Navy author.en_US
dc.identifier.oclcocn640610573
etd.thesisdegree.nameM.S. in Computer Scienceen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineComputer Scienceen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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