Sept. 19, 2005 to Sept. 22, 2005
Mikael Lindvall , Fraunhofer Center for Experimental Software Engineering
Paolo Donzelli , University of Maryland at College Park
Sima Asgari , University of Maryland at College Park
Vic Basili , University of Maryland at College Park and Fraunhofer Center for Experimental Software Engineering
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.
Mikael Lindvall, Paolo Donzelli, Sima Asgari, Vic Basili, "Towards Reusable Measurement Patterns", METRICS, 2005, Software Metrics, IEEE International Symposium on, Software Metrics, IEEE International Symposium on 2005, pp. 21, doi:10.1109/METRICS.2005.49