Towards Reusable Measurement Patterns

Authors:
Mikael Lindvall;Paolo Donzelli;Sima Asgari;Vic Basili
Affiliations:
Fraunhofer Center for Experimental Software Engineering;University of Maryland at College Park;University of Maryland at College Park;University of Maryland at College Park and Fraunhofer Center for Experimental Software Engineering
Venue:
METRICS '05 Proceedings of the 11th IEEE International Software Metrics Symposium
Year:
2005

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Abstract

Software measurement programs can help organizations make better decisions regarding their software projects. However, creating and establishing software measurement programs can be both costly and difficult. This paper addresses the problem by focusing on reusability of metrics for software measurement programs through the identification of measurement patterns. We illustrate our work with identifying measurement patterns by providing an extensive and detailed measurement example that is broken down into interdependent building blocks and activities.