• DocumentCode
    3218128
  • Title

    Python: Characteristics identification of a free open source software ecosystem

  • Author

    Hoving, Rick ; Slot, Gabriel ; Jansen, Slinger

  • Author_Institution
    Dept. of Inf. & Comput. Sci., Utrecht Univ., Utrecht, Netherlands
  • fYear
    2013
  • fDate
    24-26 July 2013
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    Analysing a free open source software ecosystem can be beneficial and can help stakeholders in numerous ways. The analysis can help developers, investors, and contributors, to decide which software ecosystem to invest in and where to invest. Another reason for making an analysis is to assist ecosystem coordinators in governing their ecosystem. The paper provides an insight on the free open source software ecosystem of Python. It presents an analysis of the software ecosystem itself and the different characteristics it has. Based upon the conducted analysis with the available dataset, the research concludes that the free open source software ecosystem of Python contains three ecosystem roles that define its ecosystem. Next to that, it has grown exponentially from 31 active developers in 2005 to 5,212 December 2012. These results can help set up a strategy for the future of the Python ecosystem. At this point in time, it is necessary to make arrangements for the ongoing growth of the Python ecosystem. Failing to do so can lead to a growing number of unusable features, and eventually advance to an unhealthy ecosystem.
  • Keywords
    object-oriented languages; public domain software; Python ecosystem; free open source software ecosystem; Biological system modeling; Bridges; Computer languages; Data mining; Ecosystems; Open source software; Characteristics; Exploratory case study; Free open-source software; Python; Roles; Software ecosystem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Ecosystems and Technologies (DEST), 2013 7th IEEE International Conference on
  • Conference_Location
    Menlo Park, CA
  • ISSN
    2150-4938
  • Print_ISBN
    978-1-4799-0784-7
  • Type

    conf

  • DOI
    10.1109/DEST.2013.6611322
  • Filename
    6611322