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Simulating Code Growth in Libre (Open-Source) Mode

Listed author(s):
  • Jean-Michel Dalle


    (University Pierre-et-Marie-Curie & IMRI-Dauphine)

  • Paul A. David


    (Stanford University & The Oxford Internet Institute)

We present an original modeling tool that can be used to study the social mechanisms by which individual software developers’ efforts are allocated within large and complex open source projects. The dynamical agent-based model is first described analytically in a deterministic discrete choice framework. Next, the results of simulations experiments using a stochastic specification are presented, to study the effects of various structural parameters that reflect “community norms” and governance rules affecting the behaviors of individuals associated with the particular project. In addition to the relative peer evaluation of different kinds of programming work associated with its constituent modules, individual developer’s behaviors choices among the latter appear to be affected by the clustering of others developers at certain “hot spots” of development activity. Allowance for that effect enables the simulations to generate the very high Gini coefficients describing the empirical distributions of modules sizes that are reported in the literature. The model is dynamic, with contributions of code being added sequentially either to existing modules, or to create new modules that are technically related to existing ones: consequently, the emerging global architecture of the project’s code can be conveniently represented as an evolving hierarchical tree. For a particular “tree’’ its morphological features at any given moment in time affects both the interest it holds for developers at that moment, and its utility in application by end-users. Introducing a simple representation of the latter agents’ social utility function, we find preliminary but striking indications that the social “reward structure” (that sociological observers suggest is influential in developers’ decisions about what and where to contribute) is not particularly not well aligned to produce an eventual simulated code architecture that approaches optimally when evaluated from the viewpoint of end-users. This may have some significance for those who stress the purely “self-organized” and undirected features of open source software projects. When allowance is made for the existence of project governance rules, however, it is found that the social utility index of the eventual code-tree can be enhanced substantially if maintainers’ policies set minimum standards for “commits” that nonetheless facilitate the “early release” of successive versions of the code.

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Paper provided by Stanford Institute for Economic Policy Research in its series Discussion Papers with number 04-002.

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Date of creation: Jan 2005
Handle: RePEc:sip:dpaper:04-002
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  1. Franke, Nikolaus & Hippel, Eric von, 2003. "Satisfying heterogeneous user needs via innovation toolkits: the case of Apache security software," Research Policy, Elsevier, vol. 32(7), pages 1199-1215, July.
  2. Pierre Garrouste & Stavros Iaonnides, 2001. "Evolution and Path-Dependency in Economic Ideas: Past and Present," Post-Print halshs-00274526, HAL.
  3. Jean-Michel Dalle & Paul A. David & Rishab A. Ghosh & W. E. Steinmueller, 2004. "Advancing Economic Research on the Free and Open Source Software Mode of Production," Discussion Papers 04-003, Stanford Institute for Economic Policy Research.
  4. Avner Offer, 1997. "Between the gift and the market: the economy of regard," Economic History Review, Economic History Society, vol. 50(3), pages 450-476, August.
  5. Harhoff, Dietmar & Henkel, Joachim & von Hippel, Eric, 2003. "Profiting from voluntary information spillovers: how users benefit by freely revealing their innovations," Research Policy, Elsevier, vol. 32(10), pages 1753-1769, December.
  6. Juan Mateos Garcia & W. Edward Steinmueller, 2003. "The Open Source Way of Working: a New Paradigm for the Division of Labour in Software Development?," SPRU Working Paper Series 92, SPRU - Science and Technology Policy Research, University of Sussex.
  7. Bruce Kogut & Anca Metiu, 2001. "Open-Source Software Development and Distributed Innovation," Oxford Review of Economic Policy, Oxford University Press, vol. 17(2), pages 248-264, Summer.
  8. Dalle, Jean-Michel & Jullien, Nicolas, 2003. "'Libre' software: turning fads into institutions?," Research Policy, Elsevier, vol. 32(1), pages 1-11, January.
  9. von Krogh, Georg & Spaeth, Sebastian & Lakhani, Karim R., 2003. "Community, joining, and specialization in open source software innovation: a case study," Research Policy, Elsevier, vol. 32(7), pages 1217-1241, July.
  10. Jean-Michel Dalle, 1997. "Heterogeneity vs. externalities in technological competition: A tale of possible technological landscapes," Journal of Evolutionary Economics, Springer, vol. 7(4), pages 395-413.
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