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An Application of the Chains-of-Rare-Events Model to Software Development Failure Prediction

  • Néstor R. Barraza
  • Jonas D. Pfefferman
  • Bruno Cernuschi-Frías
  • Félix Cernuschi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1845)

Abstract

Some of the best known models for software reliability are based on non homogeneous Poisson processes. Here, we analyze the application of the Chains-of-Rare-Events model to model grouped failures production. As it has been previously shown, this model can be analyzed as a compound Poisson with a Poisson Truncated at Zero as the compounding distribution. We introduce the mode estimator for the parameter of the Poisson Truncated at Zero. This estimator has the important characteristic of quickly reaching stability around the true value. We apply this model to several data and compare it with a non homogenous Poisson process model, and the Poisson distribution compounded by a geometric model.

Keywords

Interval Time Software Reliability Mode Estimator Failure Production Software Failure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Néstor R. Barraza
    • 1
  • Jonas D. Pfefferman
    • 1
  • Bruno Cernuschi-Frías
    • 1
  • Félix Cernuschi
    • 1
  1. 1.Facultad de IngenieríaUniversidad de Buenos Aires, and CONICETBuenos AiresArgentina

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