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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.
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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