Title :
A Data-Driven Model for Software Development Risk Analysis Using Bayesian Networks
Author :
Feng, Nan ; Li, Minqiang ; Xie, Jing ; Fang, Deying
Author_Institution :
Sch. of Manage., Tianjin Univ., Tianjin
Abstract :
In this paper, a data-driven model based on Bayesian Networks (BNs) is presented for the risk analysis of software development. The modeling process consists of three phases: BN initialization, conflict analysis, and risk monitoring and analysis. Using new project data obtained from the process of software development, the model can continually estimate risk probability, identify the sources of risk, and perform model revision. The significance of the work is that the model provides more objective and visible support for risk analysis in software development.
Keywords :
belief networks; risk analysis; software engineering; systems analysis; Bayesian networks; conflict analysis; data-driven model; risk monitoring; software development risk analysis; Bayesian methods; Costs; Educational institutions; Electronic mail; Monitoring; Programming; Risk analysis; Risk management; Software development management; Software systems;
Conference_Titel :
Advanced Management of Information for Globalized Enterprises, 2008. AMIGE 2008. IEEE Symposium on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-3694-1
Electronic_ISBN :
978-1-4244-2972-1
DOI :
10.1109/AMIGE.2008.ECP.16
