Application of Bayesian networks in software project risk assessment
Chunhua Hu · Computer Engineering and Applications Journal · 2010
In the early phase of software project life cycle or the research and development process of innovative project,the available case data are few or incomplete,and project risk mainly experiences the subjective assessment of experts which brings great difficulties for the objective measure of risk.A software project risk assessment method based on Bayesian network is provided,which is not only capable of measuring the risk equivalent of the risk impact,but also able to measure out the combined effect of a variety of risks on the consequences of a certain risk or an individual risk on the overall consequences,thus increasing the prediction and response capabilities of the software project risk,and thus providing a new way that can effectively reduce the risk probability and improve the success rate of software development.