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

W. P. Wiper;  D. Ríos Insua;  R. Hierons — 1998

Revista de la Real Academia de Ciencias Exactas Físicas y Naturales

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.

Expériences with Stochastic Algorithms fir a class of Constrained Global Optimisation Problems

Abdellah Salhi;  L.G. Proll;  D. Rios Insua;  J.I. Martin — 2010

RAIRO - Operations Research

The solution of a variety of classes of global optimisation problems is required in the implementation of a framework for sensitivity analysis in multicriteria decision analysis. These problems have linear constraints, some of which have a particular structure, and a variety of objective functions, which may be smooth or non-smooth. The context in which they arise implies a need for a single, robust solution method. The literature contains few experimental results relevant to such a need. We...

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