An Approach to Modelling Long-Term Growth Trends in Software Systems
ICSM '01 Proceedings of the IEEE International Conference on Software Maintenance (ICSM'01)
Evolution in Open Source Software: A Case Study
ICSM '00 Proceedings of the International Conference on Software Maintenance (ICSM'00)
Developer identification methods for integrated data from various sources
MSR '05 Proceedings of the 2005 international workshop on Mining software repositories
Identifying Changed Source Code Lines from Version Repositories
MSR '07 Proceedings of the Fourth International Workshop on Mining Software Repositories
Towards a Theoretical Model for Software Growth
MSR '07 Proceedings of the Fourth International Workshop on Mining Software Repositories
FLOSSMetrics: Free/Libre/Open Source Software Metrics
CSMR '09 Proceedings of the 2009 European Conference on Software Maintenance and Reengineering
Mining the history of synchronous changes to refine code ownership
MSR '09 Proceedings of the 2009 6th IEEE International Working Conference on Mining Software Repositories
A framework for analysing and visualising open source software ecosystems
Proceedings of the Joint ERCIM Workshop on Software Evolution (EVOL) and International Workshop on Principles of Software Evolution (IWPSE)
A prolog-based framework for search, integration and empirical analysis on software evolution data
Proceedings of the 3rd International Workshop on Search-Driven Development: Users, Infrastructure, Tools, and Evaluation
Historage: fine-grained version control system for Java
Proceedings of the 12th International Workshop on Principles of Software Evolution and the 7th annual ERCIM Workshop on Software Evolution
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What is the future of software evolution? In 1974, Meir M. Lehman had a vision of software evolution being driven by empirical studies of software repositories, and of a theory based on those empirical results. However, that scenario is yet to come. Software evolution studies are often based on a few cases, because the needed information is scarce, dispersed and incomplete. Their conclusions are not generalizable, slowing down the progress of this research discipline. Libre (free / open source) software supposes an opportunity to alleviate this situation. In this paper we describe the existing approaches to provide research datasets that are mining libre software repositories, and propose an agenda based on the concept of research friendly software repositories, which provides finer granularity and integrated data.