Abstract
In this paper I describe how confidence in a software inspection can be obtained through calculating an estimate of its effectiveness. The method uses a Bayesian Belief Network to model the software inspection process and calculates the inference on how effective a particular inspection was. This technique was selected as it provides a means of initialising the model with inspectors' experience and has the ability to learn and optimise performance. This technique provides answers to some of the questions and limitations raised by current models used to predict inspection effectiveness. The application of the model to a major software project is discussed, covering the initial practitioner survey, model initialisation, model calibration and verification results obtained.
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Cockram, T. Gaining Confidence in Software Inspection Using a Bayesian Belief Model. Software Quality Journal 9, 31–42 (2001). https://doi.org/10.1023/A:1016600602423
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DOI: https://doi.org/10.1023/A:1016600602423