Predictive software design measures

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dc.contributor.authorLove, Randall Jamesen
dc.contributor.committeechairNance, Richard E.en
dc.contributor.committeememberArthur, James D.en
dc.contributor.committeememberHenry, Sallie M.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2014-03-14T21:37:54Zen
dc.date.adate2009-06-11en
dc.date.available2014-03-14T21:37:54Zen
dc.date.issued1994-10-05en
dc.date.rdate2009-06-11en
dc.date.sdate2009-06-11en
dc.description.abstractThis research develops a set of predictive measures enabling software testers and designers to identify and target potential problem areas for additional and/or enhanced testing. Predictions are available as early in the design process as requirements allocation and as late as code walk-throughs. These predictions are based on characteristics of the design artifacts prior to coding. Prediction equations are formed at established points in the software development process called milestones. Four areas of predictive measurement are examined at each design milestone for candidate predictive metrics. These areas are: internal complexity, information flow, defect categorization, and the change in design. Prediction equations are created from the set of candidate predictive metrics at each milestone. The most promising of the prediction equations are selected and evaluated. The single "best" prediction equation is selected at each design milestone. The resulting predictions are promising in terms of ranking areas of the software design by the number of predicted defects. Predictions of the actual number of defects are less accurate.en
dc.description.degreeMaster of Scienceen
dc.format.extentxi, 164 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-06112009-063248en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-06112009-063248/en
dc.identifier.urihttp://hdl.handle.net/10919/43141en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1994.L684.pdfen
dc.relation.isformatofOCLC# 32180469en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1994.L684en
dc.subject.lcshComputer software -- Developmenten
dc.subject.lcshComputer software -- Testingen
dc.titlePredictive software design measuresen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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