An open framework for CVS repository querying, analysis and visualization

  • Voinea L
  • Telea A
  • 34


    Mendeley users who have this article in their library.
  • 24


    Citations of this article.


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.

Author-supplied keywords

  • cvs repositories
  • evolution visualization
  • software visualization

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


  • Lucian Voinea

  • Alexandru Telea

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free