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Punctuated equilibrium in software evolution.

A A Gorshenev1, Yu M Pis'mak

  • 1Department of Theoretical Physics, State University of Saint Petersburg, Saint Petersburg 198504, Russia.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|February 9, 2005
PubMed
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Software evolution dynamics were studied using self-organized criticality. Analysis of open-source projects revealed scaling laws, supporting a natural selection model for software development.

Area of Science:

  • Computer Science
  • Physics
  • Software Engineering

Background:

  • Software evolution is a complex process.
  • Understanding its underlying dynamics is crucial for development and maintenance.
  • Existing models may not fully capture emergent behaviors.

Purpose of the Study:

  • To investigate software evolution using the self-organized criticality (SOC) paradigm.
  • To model software evolution through principles of natural selection.
  • To validate theoretical models against real-world software data.

Main Methods:

  • Applied SOC to analyze modification dynamics in three open-source software projects (MOZILLA, FREE-BSD, EMACS) using version control data.
  • Developed a theoretical model of software evolution based on natural selection.

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  • Conducted numerical and analytical investigations of the proposed model.

    • Main Results:

    • Identified scaling laws characteristic of SOC in the modification patterns of the studied software.
    • The proposed natural selection model demonstrated good agreement with empirical data from real-world software projects.
    • The findings suggest SOC as a viable framework for understanding software evolution.

    Conclusions:

    • Self-organized criticality provides a powerful framework for modeling software evolution.
    • The natural selection model effectively captures observed software dynamics.
    • This research offers insights into the fundamental principles governing open-source software development.