文献类型：会议论文

英文题名：A data-driven model for software development risk analysis using Bayesian networks

作者：Nan, Feng[1]; Minqiang, Li[1]; Jing, Xie[1]; Deying, Fang[2]

第一作者：Nan, Feng

通讯作者：Jing, X.

机构：[1] School of Management, Tianjin University, China; [2] Business College, Beijing Union University, China

第一机构：School of Management, Tianjin University, China

会议论文集：2008 IEEE Symposium on Advanced Management of Information for Globalized Enterprises, AMIGE 2008 - Proceedings

会议日期：September 28, 2008 - September 29, 2008

会议地点：Tianjin, China

语种：英文

外文关键词：Bayesian networks - Risk assessment - Risk perception - Software design

摘要：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. ? 2008 IEEE.