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UCLA, "Unamed CVS Log Analyser", is a(nother) CVS log analyser.
Its purpose is to parse a project's CVS log, build a graph for each file representing branches layout, merge them all together and then creates a visual representation of the project.
Framework for virtual teams and projects including workspace management, cooperative workflow and awareness. Implemented with a combination of Java, PHP, EJB and jython....
A simple perl (or python) CGI that exports the MainLine of a CVS repository as a website. In use since 1998, recently added Subversion support to help migrate away from CVS.
cvsd is a configurable chroot/suid wrapper for running a cvs pserver more securely. The hope is that cvsd will allow people to run remotely accessible cvs repositories more securely. CVS is a version control system for managing projects. The distribution
CBE is a revision control system with integrated make-like functions written in pure Java. It can be used similar to CVS but offers some new features like renaming files (while still keeping the history) and using a database as backend (optional)
The aim of this project is to make it easier to keep the source code updated with the server on projects that use CVS. Keeping up to date source files on SourceForge.com projects will be automated.
A Java/Swing graphical CVS project browser, primarily aimed at helping illuminate the history of the project, with particular emphasis on credit/blame allocation.
PVC (PhpVersionControl) is a port of CVS to PHP. It features a shell version and a web interface that has all the features of CVS (i.e. commit, checkout, etc.), in an easy to use web interface.
Cross-platform visual versioning system aimmed at easing the user and administrator of large versioning repositories. Being developed in parallel with an API to allow other programs (such as IDEs) to checkout and release source code transparently.
Jistory is an Eclipse plug-in for history sensitive detection of design anomalies in source code. This plug-in aims to aid the developer in writing better code by using history sensitive heuristics to analyse multiple versions of source code.