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

机译:在CVS-logs和面对面联系人的配置文件挖掘,用于推荐软件开发人员

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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 pagerank 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.
机译:为了在日常运营中支持软件开发团队,可以利用不同的数据源。在本文中,我们专注于RFID-邻近信息提供的开发人员之间的CVS日志和通信配置文件。我们提供了一种用于将数据源组合到图形的新方法,并应用PageRank算法来捕获有关资源和开发人员配置文件的有趣知识。此外,我们讨论软件开发人员设置中的应用程序,以及项目管理。在现实世界开发人员设置的背景下评估所提出的方法。

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