Early Prediction Model to Manage Risks in Earliest Stages to Increase Project Success

Manage a software project is so complex and risky. If fail to organize it systematically, will increase the number of software project failure. Project failure in Software Project Management (SPM) is distinct due to the characteristic of software project intangible, unpredictable, and often fail and one-off project. The problem in this research is how project failure can be minimize or avoided. We proposed an early prediction model with proactive signal messenger which to detect risk in earliest stages and we validated it using questionnaires and pilot study. The proposed model developed achieved its goal which is to minimize risk in software development process to increase project success. The result of this study has shown that the proactive elements detection in earliest stage can detect risk earliest and increased project success.