Parallel changes in large-scale software development: an observational case study
ACM Transactions on Software Engineering and Methodology (TOSEM)
A State-of-the-Art Survey on Software Merging
IEEE Transactions on Software Engineering
Palantír: raising awareness among configuration management workspaces
Proceedings of the 25th International Conference on Software Engineering
Populating a Release History Database from Version Control and Bug Tracking Systems
ICSM '03 Proceedings of the International Conference on Software Maintenance
Multiscale and multivariate visualizations of software evolution
SoftVis '06 Proceedings of the 2006 ACM symposium on Software visualization
Automatic Identification of Bug-Introducing Changes
ASE '06 Proceedings of the 21st IEEE/ACM International Conference on Automated Software Engineering
CVSgrab: mining the history of large software projects
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
Proactive detection of collaboration conflicts
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Semistructured merge: rethinking merge in revision control systems
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Crystal: precise and unobtrusive conflict warnings
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Assessing the value of branches with what-if analysis
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
Cassandra: proactive conflict minimization through optimized task scheduling
Proceedings of the 2013 International Conference on Software Engineering
The empirical commit frequency distribution of open source projects
Proceedings of the 9th International Symposium on Open Collaboration
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The version control archive CVS records not only all changes in a project but also activity data such as when developers create or update their workspaces. Furthermore, CVS records when it has to integrate changes because of parallel development. In this paper, we analyze the CVS activity data of four large open-source projects GCC, JBOSS, JEDIT, and PYTHON to investigate parallel development: What is the degree of parallel development? How frequently do conflicts occur during updates and how are they resolved? How do we identify changes that contain integrations?