• DocumentCode
    731524
  • Title

    Intuition vs. Truth: Evaluation of Common Myths about StackOverflow Posts

  • Author

    Honsel, Verena ; Herbold, Steffen ; Grabowski, Jens

  • Author_Institution
    Inst. of Comput. Sci., Georg-August-Univ., Gottingen, Germany
  • fYear
    2015
  • fDate
    16-17 May 2015
  • Firstpage
    438
  • Lastpage
    441
  • Abstract
    Posting and answering questions on Stack Overflow (SO) is everyday business for many developers. We asked a group of developers what they expect to be true about questions and answers on SO. Most of their expectations were related to the likelihood of getting an answer or to voting behavior. From their comments, we formulated nine myths that they think are true about the platform. Then, we proceeded to use rather simple methods from statistics to check if these myths are supported by the data in the SO dump provided. Through our analysis, we determined that there is an effect for eight of the nine myths the developers believed in. However, for only four of the myths the effect size is large enough to actually make a difference. Hence, we could bust five myths the developers believed in.
  • Keywords
    Web sites; data mining; software engineering; SO dump; StackOverflow posts; common myths evaluation; question answering; voting behavior; Business; Complexity theory; Correlation; Data mining; Metadata; Programming; XML; Myths; Posting Behavior; StackOverflow;
  • 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.2015.58
  • Filename
    7180112