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dc.contributor.authorMayo, Kevin A.en
dc.contributor.authorWake, Steven A.en
dc.contributor.authorHenry, Sallie M.en
dc.date.accessioned2013-06-19T14:36:22Zen
dc.date.available2013-06-19T14:36:22Zen
dc.date.issued1990en
dc.identifierhttp://eprints.cs.vt.edu/archive/00000234/en
dc.identifier.urihttp://hdl.handle.net/10919/19563en
dc.description.abstractThe ability to detect and predict poor software quality is of major importance to software engineers, managers, and quality assurance organizations. Poor software quality leads to increased development costs and expensive maintenance. With so much attention on exacerbated budgetary constraints, a viable alternative is necessary. Software quality metrics are designed for this purpose. Metrics measure aspects of code or PDL representations, and can be collected and used throughout the life cycle [RAMC85].en
dc.format.mimetypeapplication/pdfen
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.titleStatic and Dynamic Software Quality Metric Toolsen
dc.typeTechnical reporten
dc.contributor.departmentComputer Scienceen
dc.identifier.trnumberTR-90-52en
dc.type.dcmitypeTexten
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000234/01/TR-90-52.pdfen


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