• DocumentCode
    3691697
  • Title

    SODA: the stack overflow dataset almanac

  • Author

    Nicolas Latorre;Roberto Minelli;Andrea Mocci;Luca Ponzanelli;Michele Lanza

  • Author_Institution
    REVEAL @ Faculty of Informatics ? Universit`a della Svizzera italiana (USI), Switzerland
  • fYear
    2015
  • fDate
    9/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Stack Overflow has become a fundamental resource for developers, becoming the de facto Question and Answer (Q&A) website, and one of the standard unstructured data sources for software engineering research to mine knowledge about development. We present SODA, the Stack Overflow Dataset Almanac, a tool that helps researchers and developers to better understand the trends of discussion topics in Stack Overflow, based on the available tagging system. SODA provides an effective visualization to support the analysis of topics in different time intervals and frames, leveraging single or co-occurrent tags. We show, through simple usage scenarios, how SODA can be used to find interesting peculiar moments in the evolution of Stack Overflow discussions that closely match specific recent events in the area of software development. SODA is available at http://rio.inf.usi.ch/soda/.
  • Keywords
    "Software","Market research","Software engineering","Computer languages","Data visualization","Data mining","Layout"
  • Publisher
    ieee
  • Conference_Titel
    Mining Unstructured Data (MUD), 2015 IEEE 5th Workshop on
  • Type

    conf

  • DOI
    10.1109/MUD.2015.7327961
  • Filename
    7327961