Bayesian inference for a software reliability model using metrics information

Michael Peter Wiper and María Teresa Rodríguez Bernal

DES - Working Papers. Statistics and Econometrics. WS from Universidad Carlos III de Madrid. Departamento de Estadística

Abstract: In this paper, we are concerned with predicting the number of faults N and the time to next failure of a piece of software. Information in the form of software metrics data is used to estimate the prior distribution of N via a Poisson regression model. Given failure time data, and a well known model for software failures, we show how to sample the posterior distribution using Gibbs sampling, as implemented in the package "WinBugs". The approach is illustrated with a practical example.

Date: 2001-03
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Persistent link: https://EconPapers.repec.org/RePEc:cte:wsrepe:ws012014

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