A Dual Model of Open Source License Growth

  • Gottfried Hofmann
  • Dirk Riehle
  • Carsten Kolassa
  • Wolfgang Mauerer
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 404)

Abstract

Every open source project needs to decide on an open source license. This decision is of high economic relevance: Just which license is the best one to help the project grow and attract a community? The most common question is: Should the project choose a restrictive (reciprocal) license or a more permissive one? As an important step towards answering this question, this paper analyses actual license choice and correlated project growth from ten years of open source projects. It provides closed analytical models and finds that around 2001 a reversal in license choice occurred from restrictive towards permissive licenses.

References

  1. 1.
    Lerner, J., Tirole, J.: Some simple economics of open source. The Journal of Industrial Economics L(2) (2002)Google Scholar
  2. 2.
    Aksulu, A., Wade, M.: A comprehensive review and synthesis of open source research 11(11), 576–656 (2010)Google Scholar
  3. 3.
    Free Software Foundation, http://www.fsf.org
  4. 4.
    GNU General Public License v1, http://www.gnu.org/licenses/gpl-1.0.html
  5. 5.
    González, A.G.: Viral contracts or unenforceable documents? Contractual validity of copyleft licences. European Intellectual Property Review, 1–20 (2004)Google Scholar
  6. 6.
  7. 7.
  8. 8.
    Sen, R., Subramaniam, C., Nelson, M.L.: Determinants of the choice of open source software license. Journal of Management Information Systems 25(3), 207–240 (2008)CrossRefGoogle Scholar
  9. 9.
    Lerner, J., Tirole, J.: The scope of open source licensing. Source 21(1) (2005)Google Scholar
  10. 10.
    Colazo, J., Fang, Y.: Impact of License Choice on Open Source Software Development Activity. Journal of the American Society for Information Science 60(5), 997–1011 (2009)CrossRefGoogle Scholar
  11. 11.
    Aslett, M.: The trend towards permissive licensing (2011), http://blogs.the451group.com/opensource/2011/06/06/the-trend-towards-permissive-licensing/
  12. 12.
    Aslett, M.: FLOSSmole data confirms declining GPL usage (2011), http://blogs.the451group.com/opensource/2011/06/13/flossmole-data-confirms-declining-gpl/
  13. 13.
  14. 14.
    Ohloh, the open source network, http://www.ohloh.net/
  15. 15.
    FLOSSmole: Collaborative collection and analysis of free/libre/open source project data, http://flossmole.org/
  16. 16.
    Deshpande A., Alto P., Riehle D.: The Total Growth of Open Source. Source (2006), 3 (2008) Google Scholar
  17. 17.
    Luckey, R.: The world’s oldest source code repositories (2007), http://meta.ohloh.net/2007/08/worlds_oldest_source_code_repositories/
  18. 18.
    Koch, S.: Evolution of open source software systems – A large-scale investigation. In: International Conference on Open Source Systems (2005)Google Scholar
  19. 19.
    Herraiz, I., Gonzalez-Barahona, J.M., Robles, G., Rey, U., Carlo, J.: Towards a theoretical model for software growth. In: Fourth International Workshop on Mining Software Repositories, MSR 2007 (2007)Google Scholar
  20. 20.
    Fahrmeir, L.: Regression - Modelle, Methoden und Anwendungen. Springer (2009)Google Scholar
  21. 21.
    Newman, M.C.: Regression analysis of log-transformed data: Statistical bias and its correction. Environmental Toxicology and Chemistry 12(6), 1129–1133 (1993)CrossRefGoogle Scholar
  22. 22.
    Riehle, D.: The Economic Case for Open Source Foundations. IEEE Computer 43(1), 86–90 (2010)CrossRefGoogle Scholar
  23. 23.
    Corbet, J.: Who wrote 2.6.20?, http://lwn.net/Articles/222773/

Copyright information

© IFIP International Federation for Information Processing 2013

Authors and Affiliations

  • Gottfried Hofmann
    • 1
  • Dirk Riehle
    • 1
  • Carsten Kolassa
    • 1
  • Wolfgang Mauerer
    • 2
  1. 1.Computer Science DepartmentFriedrich-Alexander-Universität Erlangen-NürnbergErlangenGermany
  2. 2.Corporate Research and TechnologiesSiemens AGErlangenGermany

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