Algorithms for clustering data
Algorithms for clustering data
Clustering Software Artifacts Based on Frequent Common Changes
IWPC '05 Proceedings of the 13th International Workshop on Program Comprehension
A compound graph layout algorithm for biological pathways
GD'04 Proceedings of the 12th international conference on Graph Drawing
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Version Control Systems (VCS) have always played an essential role for developing reliable software. Recently, many new ways of utilizing the information hidden in VCS have been discovered. Clustering layouts of software systems using VCS is one of them. It reveals groups of related artifacts of the software system, which can be visualized for easier exploration. In this paper we use an Expectation Maximization (EM) based probabilistic clustering algorithm and visualize the clustered modules using a compound node layout algorithm. Our experiments with repositories of two medium size software tools give promising results indicating improvements over many previous approaches.