There is growing interest in mining software repository data to understand, and predict, various aspects of team processes. In particular, text mining and natural-language processing (NLP) techniques have supported such efforts. Visualization may also supplement text mining to reveal unique multi-dimensional insights into software teams' behavioral processes. We demonstrate the utility of combining these approaches in this study. Future application of these methods to the study of teams' behavioral processes offers promise for both research and practice.

中文翻译：

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结合文本挖掘和可视化技术研究团队的行为过程

人们对挖掘软件存储库数据以了解和预测团队流程的各个方面的兴趣日益浓厚。尤其是，文本挖掘和自然语言处理（NLP）技术已为此类工作提供了支持。可视化还可以补充文本挖掘，以揭示对软件团队的行为过程的独特多维见解。我们在本研究中证明了将这些方法结合起来的效用。这些方法在团队行为过程研究中的未来应用为研究和实践提供了希望。