A Data-Driven Model for Software Development Risk Analysis Using Bayesian Networks

@article{Feng2008ADM,
  title={A Data-Driven Model for Software Development Risk Analysis Using Bayesian Networks},
  author={Nan Feng and Minqiang Li and Jing Xie and Deying Fang},
  journal={2008 IEEE Symposium on Advanced Management of Information for Globalized Enterprises (AMIGE)},
  year={2008},
  pages={1-5}
}
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… CONTINUE READING