DocumentCode
181864
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
fYear
2014
fDate
30-30 Sept. 2014
Firstpage
16
Lastpage
20
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Mining Unstructured Data (MUD), 2014 IEEE 4th Workshop on
Conference_Location
Victoria, BC
Type
conf
DOI
10.1109/MUD.2014.10
Filename
6980190
Link To Document