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Software Project and Quality Modelling Using Bayesian Networks

Software Project and Quality Modelling Using Bayesian Networks
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Author(s): Norman Fenton (University of London, UK), Peter Hearty (University of London, UK), Martin Neil (University of London, UK)and Lukasz Radlinski (University of London, UK and University of Szczecin, Poland)
Copyright: 2010
Pages: 25
Source title: Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects
Source Author(s)/Editor(s): Farid Meziane (University of Salford, UK)and Sunil Vadera (University of Salford, UK)
DOI: 10.4018/978-1-60566-758-4.ch001

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Abstract

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.

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