Integrating Metrics into a Large-Scale Software Development Environment

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dc.contributor.authorHenry, Sallie M.en
dc.contributor.authorLewis, John A.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:46Zen
dc.date.available2013-06-19T14:36:46Zen
dc.date.issued1989en
dc.description.abstractSoftware metrics have been shown to be indicators of software complexity. These complexity indicators identify error-prone, unmaintainable software, which if identified early can be rewritten and/or thoroughly tested. However, the integration of metric use into commercial situations faces practical resistance from budget and deadline restrictions. This paper presents an experiment that introduces a nondisruptive method for integrating metrics into a large-scale commercial software development environment.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00000138/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000138/01/TR-89-01.pdfen
dc.identifier.trnumberTR-89-01en
dc.identifier.urihttp://hdl.handle.net/10919/19506en
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.titleIntegrating Metrics into a Large-Scale Software Development Environmenten
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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