Predicting maintainability with software quality metrics

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dc.contributor.authorWake, Steven A.en
dc.contributor.committeechairHenry, Sallie M.en
dc.contributor.committeememberKafura, Dennis G.en
dc.contributor.committeememberHartson, H. Rexen
dc.contributor.departmentComputer Science and Applicationsen
dc.date.accessioned2014-03-14T21:37:42Zen
dc.date.adate2012-06-10en
dc.date.available2014-03-14T21:37:42Zen
dc.date.issued1988-09-15en
dc.date.rdate2012-06-10en
dc.date.sdate2012-06-10en
dc.description.abstractMaintenance of software makes up a large fraction of the time and money spent in the software life cycle. By reducing the need for maintenance these costs can also be reduced. Predicting where maintenance is likely to occur can, help to reduce maintenance by prevention. This thesis details a study of the use of software quality;metrics to determine high complexity components in a software system. By the use of a history of maintenance done on a particular system, it is shown that a predictor equation can be developed to identify components which needed maintenance activities. This same equation can also be used to determine which components are likely to need maintenance in the future. Through the use of.these predictions and software metric complexities it should be possible to reduce the likelihood of a component needing maintenance. This might be accomplished by reducing the complexity of that component through further decomposition.en
dc.description.degreeMaster of Scienceen
dc.format.extentvii, 49 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-06102012-040345en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-06102012-040345/en
dc.identifier.urihttp://hdl.handle.net/10919/43067en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1988.W343.pdfen
dc.relation.isformatofOCLC# 18567868en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1988.W343en
dc.subject.lcshSoftware engineeringen
dc.subject.lcshSoftware maintenanceen
dc.titlePredicting maintainability with software quality metricsen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineComputer Science and Applicationsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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