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The effect of interfailure time variability on the software reliability growth modelling

  • Session 3 Modeling and Evaluation
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Dependable Computing — EDCC-2 (EDCC 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1150))

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Abstract

This paper deals with the effect of interfailure time variability on the modelling of software reliability growth. Some, primarily mathematical arguments, are outlined that cast a doubt on the commonly adopted concept of failures ' occurrence as a Poisson (either homogeneous or non-homogeneous) process. On a contrived (but plausible for the software practice) example the consequences of this assumption, in some cases inappropriate for the software reliability predictions, are illustrated. The idea of “tuning” the reliability growth models based on measurements of the distribution of a single execution time is advocated.

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Authors and Affiliations

  1. Institute of Computer and Communication Systems, Bulgarian Academy of Sciences, Acad. G. Bontchev street, bl.2, 1113, Sofia, Bulgaria

    Peter Popov

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  1. Peter Popov
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Andrzej Hlawiczka João Gabriel Silva Luca Simoncini

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© 1996 Springer-Verlag Berlin Heidelberg

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Popov, P. (1996). The effect of interfailure time variability on the software reliability growth modelling. In: Hlawiczka, A., Silva, J.G., Simoncini, L. (eds) Dependable Computing — EDCC-2. EDCC 1996. Lecture Notes in Computer Science, vol 1150. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61772-8_33

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  • DOI: https://doi.org/10.1007/3-540-61772-8_33

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61772-3

  • Online ISBN: 978-3-540-70677-9

  • eBook Packages: Springer Book Archive

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