IDEAS home Printed from https://ideas.repec.org/p/eei/rpaper/eeri_rp_2006_02.html
   My bibliography  Save this paper

Open Source Software Development Projects: Determinants of Project Popularity

Author

Listed:
  • Ravi Sen

Abstract

This paper is an initial exploration of the determinants of open source project success as measured by project popularity. We simultaneously model the impact of project-specific characteristics on project popularity, and the impact of intended users and choice of operating system on the choice of end-user license. These models are jointly estimated using Full Information Maximum Likelihood Method. The results show that the software-user license, age of the project, project status, certain types of potential users, and compatibility with certain operating systems have a statistically significant impact on project popularity. An interesting finding is that GPL, the most widely used software license has an adverse impact on the popularity of an open source project.

Suggested Citation

  • Ravi Sen, 2006. "Open Source Software Development Projects: Determinants of Project Popularity," EERI Research Paper Series EERI_RP_2006_02, Economics and Econometrics Research Institute (EERI), Brussels.
    • Handle: RePEc:eei:rpaper:eeri_rp_2006_02
    as

    Download full text from publisher

    File URL: http://www.eeri.eu/documents/wp/EERI_RP_2006_02.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dorota Celińska & Mirosława Lasek, 2015. "Why do users choose Open Source software? Analysis of the network effect," Working Papers 2015-05, Faculty of Economic Sciences, University of Warsaw.
    2. Taher Ahmed Ghaleb & Daniel Alencar da Costa & Ying Zou, 2022. "On the Popularity of Internet of Things Projects in Online Communities," Information Systems Frontiers, Springer, vol. 24(5), pages 1601-1634, October.

    More about this item

    Keywords

    Open source project; OSS; FLOSS;
    All these keywords.

    JEL classification:

    • A13 - General Economics and Teaching - - General Economics - - - Relation of Economics to Social Values
    • L17 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Open Source Products and Markets
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eei:rpaper:eeri_rp_2006_02. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Julia van Hove (email available below). General contact details of provider: https://edirc.repec.org/data/eeriibe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.