The mythical man-month (anniversary ed.)
The mythical man-month (anniversary ed.)
Two case studies of open source software development: Apache and Mozilla
ACM Transactions on Software Engineering and Methodology (TOSEM)
Metrics and Laws of Software Evolution - The Nineties View
METRICS '97 Proceedings of the 4th International Symposium on Software Metrics
Evolution in Open Source Software: A Case Study
ICSM '00 Proceedings of the International Conference on Software Maintenance (ICSM'00)
Second ICSE Workshop on Remote Analysis and Measurement of Software Systems (RAMSS)
Proceedings of the 26th International Conference on Software Engineering
Managing volunteer activity in free software projects
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
Fair and balanced?: bias in bug-fix datasets
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
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Libre (free/open source) software provides an ample range of publicly available data sources about its development, which can be retrieved and analyzed. Consequently, it offers a good opportunity to build predictive estimation and evolution models. The main challenge to understand libre software development is that its development nature is radically different from 'classical' in-house software development, common in industry in the last decades. Developers and other human resources are generally a mixture of a few hired developers and many volunteers whose contribution (in number of hours per week and in total time devoted to the project) is not foreseeable in advance. This paper is a first step in finding predictive models in the libre software world. We have studied three data repositories (versioning system, mailing lists and bug tracking system) of GNOME, a large libre software project with several thousand contributors and several millions of lines of code, measuring activity and participation in it during the last years. Results and correlations for these sources allow us to adventure some first estimations of how participation and activity will evolve in the future.