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When to Stop Testing Software? Some Exact Results

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Bayesian Analysis in Statistics and Econometrics

Part of the book series: Lecture Notes in Statistics ((LNS,volume 75))

Abstract

Developers of large software systems must decide how much to test a piece of software before it is released. We consider an explicit tradeoff between the costs of testing and releasing. The cost of testing may include the cost of a lost economic initiative because of continued testing and the cost of releasing may include the cost of customer dissatisfaction and cost of fixing an unknown number of bugs in the released version. The problem is formulated as a sequential Bayes problem in which information from past experience is also used. The structure of the optimal policy is determined.

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References

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Author information

Authors and Affiliations

  1. Bellcore, Morristown, N.J., USA

    S. R. Dalai

  2. AT&T Bell Laboratories, Murray Hill, N.J., USA

    C. L. Mallows

Authors
  1. S. R. Dalai
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  2. C. L. Mallows
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Editor information

Editors and Affiliations

  1. Department of Statistics, The Ohio State University, Columbus, OH, 43210-1247, USA

    Prem K. Goel

  2. Economic Analysis Unit, Indian Statistical Institute, Bangalore, 8 Mile Mysole Road, R.V. College — P.O., Bangalore, 560059, India

    N. Sreenivas Iyengar

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© 1992 Springer-Verlag New York, Inc.

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Dalai, S.R., Mallows, C.L. (1992). When to Stop Testing Software? Some Exact Results. In: Goel, P.K., Iyengar, N.S. (eds) Bayesian Analysis in Statistics and Econometrics. Lecture Notes in Statistics, vol 75. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2944-5_18

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  • DOI: https://doi.org/10.1007/978-1-4612-2944-5_18

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97863-5

  • Online ISBN: 978-1-4612-2944-5

  • eBook Packages: Springer Book Archive

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