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Cockram, T; Hall, P. A. V. and Ince, D. C. (2003). A model for inspection efficiency prediction. Technical Report 2003/12; Department of Computing, The Open University.
DOI: https://doi.org/10.21954/ou.ro.00016009
Abstract
While inspections are a valuable tool for software quality assurance, inspection models are labour intensive, require knowledge of all errors in a software product, make questionable assumptions, and do not capture the experience of inspectors. In this paper we describe a novel inspection model based on Bayesian belief networks that overcomes many of these problems. We describe the problems which affect the inspection process, outline how Bayesian belief network are able to provide a powerful mechanism and describe data taken from a large number of inspections which provide a validation of the model.
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)
