An open framework for CVS repository querying, analysis and visualization

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. Categories and Subject Descriptors D.2.7 [Software engineering]: Distribution, Maintenance, and Enhancement – documentation, reengineering; H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval – clustering, query formulation; I.3.8 [Computer Graphics]: Applications General Terms Management, Measurement, Documentation Keywords Evolution visualization, software visualization, CVS repositories

• Type: Conference
• Year: 2006
• Where: MSR
• Authors: Lucian Voinea, Alexandru Telea
• Keywords: CVS Data Extraction, CVS Software Repositories, Data Extraction, MSR 2006