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

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Reliable Software Technologies Ada-Europe 2000 (Ada-Europe 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1845))

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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.

This work was partially supported by the Universidad de Buenos Aires, grant No. TI-09, and the Consejo Nacional de Investigaciones Científicas y Té cnicas, grant No. PIP-4030, CONICET, Argentina.

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Authors and Affiliations

  1. Facultad de Ingeniería, Universidad de Buenos Aires, and CONICET, Casilla 8, Sucursal 12 (B), 1412, Buenos Aires, Argentina

    Néstor R. Barraza, Jonas D. Pfefferman, Bruno Cernuschi-Frías & Félix Cernuschi

Authors
  1. Néstor R. Barraza
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  2. Jonas D. Pfefferman
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  3. Bruno Cernuschi-Frías
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  4. Félix Cernuschi
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Editor information

Editors and Affiliations

  1.  ,  

    Hubert B. Keller

  2. Institute of Software Technology, University of Stuttgart, Universitätsstr. 38, 70569, Stuttgart, Germany

    Erhard Plödereder

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© 2000 Springer-Verlag Berlin Heidelberg

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Barraza, N.R., Pfefferman, J.D., Cernuschi-Frías, B., Cernuschi, F. (2000). An Application of the Chains-of-Rare-Events Model to Software Development Failure Prediction. In: Keller, H.B., Plödereder, E. (eds) Reliable Software Technologies Ada-Europe 2000. Ada-Europe 2000. Lecture Notes in Computer Science, vol 1845. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10722060_18

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  • DOI: https://doi.org/10.1007/10722060_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67669-0

  • Online ISBN: 978-3-540-45098-6

  • eBook Packages: Springer Book Archive

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