Predicting Maintainability with Software Quality Metrics

dc.contributor.authorHenry, Sallie M.en
dc.contributor.authorWake, Steven A.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:35:56Zen
dc.date.available2013-06-19T14:35:56Zen
dc.date.issued1988en
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 paper 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. Even though this is only one study, this methodology of developing maintenance predictors could be applied in any environment.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00000131/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000131/01/TR-88-46.pdfen
dc.identifier.trnumberTR-88-46en
dc.identifier.urihttp://hdl.handle.net/10919/19469en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.relation.ispartofHistorical Collection(Till Dec 2001)en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titlePredicting Maintainability with Software Quality Metricsen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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