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A bayesian analysis of beta testing

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  • Wiper, Michael Peter
  • Wilson, Simon P.

Abstract

In this article, we define a model for fault detection during the beta testing phase of a software design project. Given sampled data, we illustrate how to estimate the failure rate and the number of faults in the software using Bayesian statistical methods with various different prior distributions. Secondly, given a suitable cost function, we also show how to optimise the duration of a further test period for each one of the prior distribution structures considered.

Suggested Citation

  • Wiper, Michael Peter & Wilson, Simon P., 2003. "A bayesian analysis of beta testing," DES - Working Papers. Statistics and Econometrics. WS ws033107, Universidad Carlos III de Madrid. Departamento de Estadística.
    • Handle: RePEc:cte:wsrepe:ws033107
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    1. Chib S. & Jeliazkov I., 2001. "Marginal Likelihood From the Metropolis-Hastings Output," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 270-281, March.
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