2014 Volume 16 Issue 4 Pages 20-23
With the expanding globally distributed software development projects, quantitative project management has become increasingly important. Toshiba has developed risk prediction model based on Naive Bayes classifier in order to identify failure risk in the early stage of the projects. In this paper, we describe a quality improvement study of risk prediction model to actual software development projects in the social infrastructure field.