Track: Information Technology
Abstract
The assessments of the risks are demonstrated through the Total Risk Index. Software risks can be defined as uncertainty and loss in project process. Software risk management consists of risk identification, estimation, refinement, mitigation, monitoring and maintenance steps. In this paper, the main focus is on different risk management model and the importance of automated tools in risk management. With the automated risk management tool, the prediction of project problem effects that can cause loss in software project in terms of their values on risk factors and rank the risk factors to observe how they can give detail about project problem effects separately. For these purpose five classification methods for prediction of problem impact and two filter feature selection methods for ranking importance of risk factors are used in this study.