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Stochastic Models in Reliability Theory pp 144–162Cite as

Inflection S-Shaped Software Reliability Growth Model

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Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 235))

Abstract

This paper discusses improvements to conventional software reliability analysis models by making the assumptions on which they are based more realistic. That is, for example, the mutual dependency of errors in a program.

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References

  1. Z. Jelinski and P.B. Moranda, “Software reliability research,” in Statistical Computer Performance Evaluation, W. Freiberger, Ed., Academic Press, New York, 1972, pp. 465–484.

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  2. J.D. Musa, “Validity of execution-time theory of software reliability,” IEEE Trans. Reliab., vol. R-28, 1979, pp. 181–191.

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  3. A.L. Goel and K. Okumoto, “Time-dependent error detection rate model for software reliability and other performance measures,” IEEE Trans. Reliab., vol. R-28, 1979, pp. 206–211.

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  4. W.D. Brooks and R.W. Motley, “Analysis of discrete software reliability models,” Rome Air Development Center Technical Report, RADCTR-80-84, 1980.

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  5. M. Ohba, “S-shaped software reliability growth models,” (in Japanese) Proc. JUSE Reliability and Maintainability Sympo., Tokyo, 1983, PP. 353-358. (abstract in English)

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Author information

Authors and Affiliations

  1. Science Institute, IBM Japan, Ltd., Chiyoda-ku, Tokyo 102, Japan

    Mitsuru Ohba

Authors
  1. Mitsuru Ohba
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Editor information

Editors and Affiliations

  1. Department of Industrial and Systems Engineering Faculty of Engineering, Hiroshima University, Higashi-Hiroshima 724, Japan

    Shunji Osaki

  2. Faculty of Business Administration, Senshu University, Kawasaki 214, Japan

    Yukio Hatoyama

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© 1984 Springer-Verlag Berlin Heidelberg

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Cite this paper

Ohba, M. (1984). Inflection S-Shaped Software Reliability Growth Model. In: Osaki, S., Hatoyama, Y. (eds) Stochastic Models in Reliability Theory. Lecture Notes in Economics and Mathematical Systems, vol 235. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45587-2_10

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  • DOI: https://doi.org/10.1007/978-3-642-45587-2_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-13888-4

  • Online ISBN: 978-3-642-45587-2

  • eBook Packages: Springer Book Archive

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