Title :
Combining Text Mining and Visualization Techniques to Study Teams´ Behavioral Processes
Author :
Licorish, Sherlock A. ; Macdonell, Stephen G.
Author_Institution :
Dept. of Inf. Sci., Univ. of Otago, Dunedin, New Zealand
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.
Keywords :
behavioural sciences computing; data mining; data visualisation; natural language processing; software development management; team working; NLP techniques; natural-language processing techniques; software repository data mining; software team behavioral processes; text mining; visualization techniques; Conferences; Data visualization; Pragmatics; Software; Software engineering; Text mining; linguistic analysis; text mining; visualization;
Conference_Titel :
Mining Unstructured Data (MUD), 2014 IEEE 4th Workshop on
Conference_Location :
Victoria, BC
DOI :
10.1109/MUD.2014.10