• DocumentCode
    2118568
  • Title

    Biological Mutualistic Models Applied to Study Open Source Software Development

  • Author

    Loyola, P. ; In-Young Ko

  • Author_Institution
    Div. of Web Sci. & Technol., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • Volume
    1
  • fYear
    2012
  • fDate
    4-7 Dec. 2012
  • Firstpage
    248
  • Lastpage
    253
  • Abstract
    The evolution of the Web has allowed the generation of several platforms for collaborative work. One of the main contributors to these advances is the Open Source initiative, in which projects are boosted to a new level of interaction and cooperation that improves their software quality and reliability. In order to understand how the group of contributors interacts with the software under development, we propose a novel methodology that adapts Lotka-Volterra-based biological models used for host-parasite interaction. In that sense, we used the concept mutualism from social parasites. Preliminary results based on experiments on the Github collaborative platform showed that Open Source phenomena can be modeled as a mutualistic system, in terms of the evolution of the population of developers and repositories.
  • Keywords
    biology; groupware; public domain software; software quality; software reliability; Github collaborative platform; Lotka-Volterra-based biological models; Web evolution; biological mutualistic models; collaborative work; concept mutualism; cooperation level; host-parasite interaction; interaction level; mutualistic system; open source initiative; open source phenomena; open source software development; social parasites; software quality; software reliability; open source software development; population models; web-based collaborative work;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on
  • Conference_Location
    Macau
  • Print_ISBN
    978-1-4673-6057-9
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2012.228
  • Filename
    6511892