Studia Informatica Pomerania
WNEiZ
Autor: Łukasz Radliński 119
Strony: 119-129
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A SURVEY OF BAYESIAN NETWORKS FOR RISK ASSESSMENT IN SOFTWARE ENGINEERING

Summary
The aim of this work is to compare selected Bayesian Nets for software project risk assessment. Previous studies have shown that Bayesian Nets have several advantages over other methods of creating models in the domain of software engineering. Thus, I did not analyze other models in this work. The results of this analysis have shown that direct comparison is difficult because of big differences between the models caused by different motivations for building them. Many of those models reflect only small part of software engineering. All of them suffer common weaknesses which are the motivations for my future work focused on creating models overcoming those weaknesses.