• DocumentCode
    731522
  • Title

    Mining Successful Answers in Stack Overflow

  • Author

    Calefato, Fabio ; Lanubile, Filippo ; Marasciulo, Maria Concetta ; Novielli, Nicole

  • Author_Institution
    Dipt. di Inf., Univ. degli Studi di Bari, Bari, Italy
  • fYear
    2015
  • fDate
    16-17 May 2015
  • Firstpage
    430
  • Lastpage
    433
  • Abstract
    Recent research has shown that drivers of success in online question answering encompass presentation quality as well as temporal and social aspects. Yet, we argue that also the emotional style of a technical contribution influences its perceived quality. In this paper, we investigate how Stack Overflow users can increase the chance of getting their answer accepted. We focus on actionable factors that can be acted upon by users when writing an answer and making comments. We found evidence that factors related to information presentation, time and affect all have an impact on the success of answers.
  • Keywords
    data mining; human factors; question answering (information retrieval); online question answering; perceived quality; stack overflow; successful answer mining; Communities; Data mining; Knowledge discovery; Logistics; Measurement; Sentiment analysis; Writing; Human Factors; Knowledge Sharing; Online Q&A; Sentiment Analysis;
  • 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.2015.56
  • Filename
    7180110