We present an open framework for visual mining of CVS software repositories. We address three aspects: data extraction, analysis and visualization. We first discuss the challenges of CVS data extraction and storage, and propose a flexible way to deal with CVS implementation inconsistencies. We next present a new technique to enrich the raw data with information about artifacts showing similar evolution. Finally, we propose a visualization backend and show its applicability on industry-size repositories.
|Title of host publication||Proceedings of the 2006 International Workshop on Mining Software Repositories (MSR 2006, Shanghai, China, May 22-23, 2006)|
|Publisher||Association for Computing Machinery, Inc|
|Publication status||Published - 2006|