Combining Text Mining and Visualization Techniques to Study Teams' Behavioral Processes

TL;DR

This paper explores combining text mining, NLP, and visualization techniques to analyze and understand team behavioral processes in software development, aiming to enhance research insights and practical applications.

Contribution

It introduces an integrated approach that combines text mining, NLP, and visualization to study software teams' behavioral processes, which is a novel combination in this context.

Findings

Demonstrates the utility of combined methods for team analysis

Highlights potential for improved insights into team dynamics

Suggests future research directions using these techniques

Abstract

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.