1st International ICST Workshop on Physics Inspired Paradigms for Wireless Communications and Network

Research Article

Fat tails, long memory, maturity and ageing in open-source software projects

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  • @INPROCEEDINGS{10.4108/ICST.WIOPT2008.3219,
        author={Damien Challet and Sergi Valverde},
        title={Fat tails, long memory, maturity and ageing in open-source software projects},
        proceedings={1st International ICST Workshop on Physics Inspired Paradigms for Wireless Communications and Network},
        publisher={IEEE},
        proceedings_a={PHYSCOMNET},
        year={2008},
        month={8},
        keywords={open source csv activity fat tails long memory ageing maturity},
        doi={10.4108/ICST.WIOPT2008.3219}
    }
    
  • Damien Challet
    Sergi Valverde
    Year: 2008
    Fat tails, long memory, maturity and ageing in open-source software projects
    PHYSCOMNET
    IEEE
    DOI: 10.4108/ICST.WIOPT2008.3219
Damien Challet1,2,*, Sergi Valverde3,4,*
  • 1: Institute for Scientific Interchange, Viale S. Severo 65 10113 Turin, Italy.
  • 2: Departement de Physique, Universite de Fribourg, ch. du Musee 1700 Fribourg, Switzerland.
  • 3: ICREA-Complex Systems Lab, Pompeu Fabra University, Dr. Aiguader 80 08003 Barcelona, Spain.
  • 4: Centre de Recherches sur la Cognition Animale, CNRS-UMR 5169, Universite Paul Sabatier, 118, route de Narbonne 31062 Toulouse Cedex 04 France.
*Contact email: challet@isi.it, svalverde@imim.es

Abstract

We report activity data analysis on several open source software projects, focusing on time between modifications and on the number of files modified at once. Both have fat-tailed distributions, long-term memory, and display systematic non-trivial cross-correlations, suggesting that quiet periods are followed by cascading modifications. In addition the maturity of a software project can be measured from the exponent of the distribution of inter-modification time. Finally, the dynamics of a single file displays ageing, the average rate of modifications decaying as a function of time following a power-law.