Combining Text Mining and Visualization Techniques to Study Teams' Behavioral Processes
This work addresses the analysis of team behavioral processes for researchers and practitioners, but it is incremental as it combines existing methods without introducing new paradigms.
The study tackled the problem of understanding and predicting software team processes by combining text mining, NLP, and visualization techniques, demonstrating their utility for revealing multi-dimensional insights.
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.