• DocumentCode
    715530
  • Title

    OSSEAN: Mining Crowd Wisdom in Open Source Communities

  • Author

    Gang Yin ; Tao Wang ; Huaimin Wang ; Qiang Fan ; Yang Zhang ; Yue Yu ; Cheng Yang

  • Author_Institution
    Nat. Lab. of Parallel & Distrib. Comput., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2015
  • fDate
    March 30 2015-April 3 2015
  • Firstpage
    367
  • Lastpage
    371
  • Abstract
    Nowadays open source software represents a successful crowd-based software production model and is becoming an ecosystem combining huge amounts of software producers (such as software developers) and consumers (such as software users and customers). Lots of research work has been conducted on analyzing software artifacts created by producers, but few of them reveal the power of feedback from consumers which we believe is very important for the evaluation and evolution of open source software. This paper introduces OSSEAN, a platform for Open Source Software Evaluating, Analyzing and Networking. OSSEAN divides the open source communities into two groups: software production communities and software consumption communities. The former contain structured software artifacts such as projects, source code and issues, while the latter are full of textual documents with rich semantics of user feedback. We show the power of OSSEAN with some interesting demos by analyzing more than 200 thousands of open source projects and 10 million documents.
  • Keywords
    public domain software; software engineering; software performance evaluation; OSSEAN; crowd-based software production model; open source software; open source software evaluating, analyzing and networking platform; software consumption communities; software production communities; Communities; Crawlers; Data mining; Ecosystems; Open source software; Production; Open Source; Crowd Wisdom; Software Production Communities; Software Consumption Communities; OSSEAN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service-Oriented System Engineering (SOSE), 2015 IEEE Symposium on
  • Conference_Location
    San Francisco Bay, CA
  • Type

    conf

  • DOI
    10.1109/SOSE.2015.51
  • Filename
    7133554