Software Project and Quality Modelling Using Bayesian Networks
Norman Fenton, Peter Hearty, Martin Neil, Łukasz Radliński · Advances in computational intelligence and robotics book series · 2010
This chapter provides an introduction to the use of Bayesian Network (BN) models in Software Engineering. A short overview of the theory of BNs is included, together with an explanation of why BNs are ideally suited to dealing with the characteristics and shortcomings of typical software development environments. This theory is supplemented and illustrated using real world models that illustrate the advantages of BNs in dealing with uncertainty, causal reasoning and learning in the presence of limited data.