• DocumentCode
    635212
  • Title

    Analysis of user comments: An approach for software requirements evolution

  • Author

    Galvis Carreno, Laura V. ; Winbladh, Kristina

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Delaware, Newark, DE, USA
  • fYear
    2013
  • fDate
    18-26 May 2013
  • Firstpage
    582
  • Lastpage
    591
  • Abstract
    User feedback is imperative in improving software quality. In this paper, we explore the rich set of user feedback available for third party mobile applications as a way to extract new/changed requirements for next versions. A potential problem using this data is its volume and the time commitment involved in extracting new/changed requirements. Our goal is to alleviate part of the process through automatic topic extraction. We process user comments to extract the main topics mentioned as well as some sentences representative of those topics. This information can be useful for requirements engineers to revise the requirements for next releases. Our approach relies on adapting information retrieval techniques including topic modeling and evaluating them on different publicly available data sets. Results show that the automatically extracted topics match the manually extracted ones, while also significantly decreasing the manual effort.
  • Keywords
    information retrieval; mobile computing; software quality; automatic topic extraction; information retrieval technique; requirement engineering; sentence representation; software quality; software requirement evolution; third party mobile application; topic modeling; user comment analysis; user feedback; Adaptation models; Analytical models; Androids; Data mining; Humanoid robots; Manuals; Software; Information Retrieval; Requirements; Software Evolution; Topic Modeling; User Comments; User feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (ICSE), 2013 35th International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4673-3073-2
  • Type

    conf

  • DOI
    10.1109/ICSE.2013.6606604
  • Filename
    6606604