• DocumentCode
    731519
  • Title

    ETA: Estimated Time of Answer Predicting Response Time in Stack Overflow

  • Author

    Goderie, Jeffrey ; Georgsson, Brynjolfur Mar ; Van Graafeiland, Bastiaan ; Bacchelli, Alberto

  • Author_Institution
    Delft Univ. of Technol., Delft, Netherlands
  • fYear
    2015
  • fDate
    16-17 May 2015
  • Firstpage
    414
  • Lastpage
    417
  • Abstract
    Question and Answer (Q&A) sites help developers dealing with the increasing complexity of software systems and third-party components by providing a platform for exchanging knowledge about programming topics. A shortcoming of Q&A sites is that they provide no indication on when an answer is to be expected. Such an indication would help, for example, the developers who posed the questions in managing their time. We try to fill this gap by investigating whether and how answering time for a question posed on Stack Overflow, a prominent example of Q&A websites, can be predicted considering its tags. To this aim, we first determine the types of answers to be considered valid answers to the question, after which the answering time was predicted based on similarity of the set of tags. Our results show that the classification is correct in 30%-35% of the cases.
  • Keywords
    question answering (information retrieval); software metrics; Stack Overflow; question and answer sites; software system complexity; third-party components; Communities; Correlation; Prediction algorithms; Time factors; Time measurement; Training; response time; stack overflow;
  • 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.2015.52
  • Filename
    7180106