Analytical and Empirical Evaluation of Software Reuse Metrics

dc.contributor.authorDevanbu, Premen_US
dc.contributor.authorKarstu, Sakkeen_US
dc.contributor.authorMelo, Walcelio L.en_US
dc.contributor.authorThomas, Williamen_US
dc.date.accessioned2004-05-31T22:34:00Z
dc.date.available2004-05-31T22:34:00Z
dc.date.created1995-09en_US
dc.date.issued1998-10-15en_US
dc.description.abstractHow much can be saved by using pre-existing (or somewhat modified) software components when developing new software systems? With the increasing adoption of reuse methods and technologies, this question becomes critical. However, directly tracking the actual cost savings due to reuse is difficult. A worthy goal would be to develop a method of measuring the savings indirectly by analyzing the code for reuse of components. The focus of this paper is to evaluate how well several published software reuse metrics measure the ``time, money and quality'' benefits of software reuse. We conduct this evaluation both analytically and empirically. On the analytic front, we first develop some properties that should arguably hold of any measure of ``time, money and quality'' benefit due to reuse. We assess several existing software reuse metrics using these properties. Empirically, we constructed a toolset (using GEN++) to gather data on all published reuse metrics from C++ code; then, using some productivity and quality data from ``nearly replicated'' student projects at the University of Maryland, we evaluate the relationship the known metrics and the process data. The results show that different reuse metrics can be used as predictors of different quality attributes, and suggest possible directions for improving the known measures. (Also cross-referenced as UMIACS-TR-95-82)en_US
dc.format.extent244421 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/749
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3505en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-95-82en_US
dc.titleAnalytical and Empirical Evaluation of Software Reuse Metricsen_US
dc.typeTechnical Reporten_US

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