• DocumentCode
    547179
  • Title

    Success factors of OSS projects from sourceforge using Datamining Association Rule

  • Author

    Emanuel, Andi Wahju Rahardjo ; Wardoyo, Retantyo ; Istiyanto, Jazi Eko ; Mustofa, Khabib

  • Author_Institution
    Fac. of Inf. Technol., Maranatha Christian Univ., Bandung, Indonesia
  • fYear
    2010
  • fDate
    2-3 Aug. 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    We present a research to find the success factors of 134,549 Open Source Software (OSS) Projects at sourceforge.net portal using Datamining 2-Itemset Association Rule. Data from each OSS Project i.e. project´s audience, database environment, description, developer, development status, download, filename, file size, operating system, programming language, review, thumb (up and down), topic, translation, and user interface are collected and then stored into database to be analyzed using Weka Datamining Tool. The Datamining Association Rule is used to find the success factors of these projects by assuming that the success is reflected by the number of downloads. The success factors of these OSS Projects are found by performing 2-Itemset Association Rules. The result is then formulated into six success factors that should be utilized by future initiators and other developers of OSS Project to increase the possibilty of success of their OSS Projects.
  • Keywords
    data mining; public domain software; 2-itemset association rule; OSS project success factor; Weka data mining tool; open source software; Association rules; Computer languages; Databases; Licenses; Operating systems; Portals; User interfaces; 2-Itemset Association Rule; Datamining; Open Source Software Project; Success Factor; sourceforge.net;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Framework and Applications (DFmA), 2010 International Conference on
  • Conference_Location
    Yogyakarta
  • Print_ISBN
    978-1-4244-9335-7
  • Type

    conf

  • Filename
    5952338