Bayesian inference and optimal release times. For two software failure models

W. P. Wiper; D. Ríos Insua; R. Hierons

Revista de la Real Academia de Ciencias Exactas Físicas y Naturales (1998)

  • Volume: 92, Issue: 4, page 323-328
  • ISSN: 1137-2141

Abstract

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We carry out Bayesian inference for the Jelinski-Moranda and Littlewood software failure models given a sample of failure times. Furthermore, we illustrate how to assess the optimal length of an additional pre-release testing period under each of these models. Modern Bayesian computational methods are used to estimate the posterior expected utility of testing for and additional time.

How to cite

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Wiper, W. P., Ríos Insua, D., and Hierons, R.. "Bayesian inference and optimal release times. For two software failure models." Revista de la Real Academia de Ciencias Exactas Físicas y Naturales 92.4 (1998): 323-328. <http://eudml.org/doc/42115>.

@article{Wiper1998,
abstract = {We carry out Bayesian inference for the Jelinski-Moranda and Littlewood software failure models given a sample of failure times. Furthermore, we illustrate how to assess the optimal length of an additional pre-release testing period under each of these models. Modern Bayesian computational methods are used to estimate the posterior expected utility of testing for and additional time.},
author = {Wiper, W. P., Ríos Insua, D., Hierons, R.},
journal = {Revista de la Real Academia de Ciencias Exactas Físicas y Naturales},
language = {eng},
number = {4},
pages = {323-328},
title = {Bayesian inference and optimal release times. For two software failure models},
url = {http://eudml.org/doc/42115},
volume = {92},
year = {1998},
}

TY - JOUR
AU - Wiper, W. P.
AU - Ríos Insua, D.
AU - Hierons, R.
TI - Bayesian inference and optimal release times. For two software failure models
JO - Revista de la Real Academia de Ciencias Exactas Físicas y Naturales
PY - 1998
VL - 92
IS - 4
SP - 323
EP - 328
AB - We carry out Bayesian inference for the Jelinski-Moranda and Littlewood software failure models given a sample of failure times. Furthermore, we illustrate how to assess the optimal length of an additional pre-release testing period under each of these models. Modern Bayesian computational methods are used to estimate the posterior expected utility of testing for and additional time.
LA - eng
UR - http://eudml.org/doc/42115
ER -

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