Conceptual graph matching: a flexible algorithm and experiments
Journal of Experimental & Theoretical Artificial Intelligence - Special issue: conceptual graphs workshop
Mining version archives for co-changed lines
Proceedings of the 2006 international workshop on Mining software repositories
Expertise identification and visualization from CVS
Proceedings of the 2008 international working conference on Mining software repositories
A segmentation-based approach for temporal analysis of software version repositories
Journal of Software Maintenance and Evolution: Research and Practice
Multifractal aspects of software development (NIER track)
Proceedings of the 33rd International Conference on Software Engineering
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Versioning systems such as CVS or Subversion exhibit a large potential to investigate the evolution of software systems. They are used to record the development steps of software systems as they make it possible to reconstruct the whole evolution of single files. However they provide no good means to understand how much a certain file has been changed over time and by whom. In this paper we present an approach to visualize files using fractal figures, which (1) convey the overall development effort, (2) illustrate the distribution of the effort among various developers, and (3) allow files to be categorized in terms of the distribution of the effort following gestalt principles. Our approach allows us to discover files of high development efforts in terms of team size and effort intensity of individual developers. The visualizations allow an analyst or a project manager to get first insights into team structures and code ownership principles. We have analyzed Mozilla as a case study and we show some of the recovered team development patterns in this paper as a validation of our approach.