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dc.contributor.authorBanker, Rajiv D.-
dc.contributor.authorFisher, Eric-
dc.contributor.authorKauffman, Robert J.-
dc.contributor.authorWright, Charles-
dc.contributor.authorZweig, Dani-
dc.date.accessioned2006-02-13T16:43:49Z-
dc.date.available2006-02-13T16:43:49Z-
dc.date.issued1990-09-
dc.identifier.urihttp://hdl.handle.net/2451/14414-
dc.description.abstractMeasurement of software development productivity is needed in order to control software costs, but it is discouragingly labor-intensive and expensive. Computer aided software engineering (CASE) technologies -- especially object-oriented, integrated CASE -- have the potential to support the automation of this measurement. In this paper, we describe automated analyzers for function point and code reuse measurement. Both analyzers take advantage of the existence of a meta-model of the application system, stored within an object repository, which contains the necessary information about the application system. We also propose new metrics for code reuse analysis, including reuse leverage, reuse value and reuse classification. The state-of-the-art automated software metrics analyzers are illustrated in the context of an investment banking industry application.en
dc.format.extent8108011 bytes-
dc.format.mimetypeapplication/pdf-
dc.languageEnglishEN
dc.language.isoen_US-
dc.publisherStern School of Business, New York Universityen
dc.relation.ispartofseriesIS-90-15-
dc.subjectCASEen
dc.subjectcode reuseen
dc.subjectcomputer aided software engineeringen
dc.subjectfunction point analysisen
dc.subjectobject-oriented programmingen
dc.subjectprogramming productivityen
dc.subjectrepositoriesen
dc.subjectsoftware costsen
dc.subjectsoftware developmenten
dc.subjectsoftware engineering economicsen
dc.subjectsoftware metricsen
dc.subjectsoftware productivityen
dc.titleAUTOMATING SOFTWARE DEVELOPMENT PRODUCTIVITY METRICSen
dc.typeWorking Paperen
dc.description.seriesInformation Systems Working Papers SeriesEN
Appears in Collections:IOMS: Information Systems Working Papers

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