Software process risk measurement model based on Bayesian network

The growing demand for higher reliability of software poses an unprecedented challenge to the software industry. Software Process control and Improvement is the important part for high quality software development processes. However, software process risk management is not concerned. To integrate efficient process risk management and CMMI is the goal of this paper. A software process risk measurement model based on Bayesian network is proposed to help improve software process risk management. Firstly, the relationship of process areas is analyzed. Then, risk analysis and measurement process is presented. At last, a real software case is then analyzed by this model framework. The results show that process risk management is effective to enhance reliability.