Abstract
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.
| Original language | English |
|---|---|
| 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 |
| Pages | 33-39 |
| ISBN (Print) | 1-59593-397-2 |
| Publication status | Published - 2006 |