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dc.contributor.authorMayo, Kevin A.en_US
dc.contributor.authorWake, Steven A.en_US
dc.contributor.authorHenry, Sallie M.en_US
dc.date.accessioned2013-06-19T14:36:22Z
dc.date.available2013-06-19T14:36:22Z
dc.date.issued1990
dc.identifierhttp://eprints.cs.vt.edu/archive/00000234/en_US
dc.identifier.urihttp://hdl.handle.net/10919/19563
dc.descriptionThe 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_US
dc.format.mimetypeapplication/pdfen_US
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen_US
dc.relation.ispartofHistorical Collection(Till Dec 2001)en_US
dc.titleStatic and Dynamic Software Quality Metric Toolsen_US
dc.typeTechnical reporten_US
dc.identifier.trnumberTR-90-52en_US
dc.type.dcmitypeTexten_US
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000234/01/TR-90-52.pdf


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