Profile Mining in CVS-Logs and Face-to-Face Contacts for Recommending Software Developers

In order to support a software development team in its day-to-day operations, different data sources can be exploited. In this paper, we focus on CVS logs and communication profiles between developers provided by RFID-proximity information. We provide a novel approach for combining the data sources into a graph, and apply the page rank algorithm for capturing interesting knowledge about resource and developer profiles. Additionally, we discuss the application in the software developer setting, and also for project management. The proposed approach is evaluated in the context of a real-world developer setting.