• DocumentCode
    731521
  • Title

    An Insight into the Unresolved Questions at Stack Overflow

  • Author

    Rahman, Mohammad Masudur ; Roy, Chanchal K.

  • Author_Institution
    Univ. of Saskatchewan, Saskatoon, SK, Canada
  • fYear
    2015
  • fDate
    16-17 May 2015
  • Firstpage
    426
  • Lastpage
    429
  • Abstract
    For a significant number of questions at Stack Overflow, none of the posted answers were accepted as solutions. Acceptance of an answer indicates that the answer actually solves the discussed problem in the question, and the question is answered sufficiently. In this paper, we investigate 3,956 such unresolved questions using an exploratory study where we analyze four important aspects of those questions, their answers and the corresponding users that partially explain the observed scenario. We then propose a prediction model by employing five metrics related to user behaviour, topics and popularity of question, which predicts if the best answer for a question at Stack Overflow might remain unaccepted or not. Experiments using 8,057 questions show that the model can predict unresolved questions with 78.70% precision and 76.10% recall.
  • Keywords
    programming; question answering (information retrieval); social networking (online); Stack Overflow; prediction model; question answering; Accuracy; Delays; Entropy; Histograms; Predictive models; Programming; Unresolved questions; post quality; topic similarity; unaccepted answers; user reputation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mining Software Repositories (MSR), 2015 IEEE/ACM 12th Working Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/MSR.2015.55
  • Filename
    7180109