• 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