Optimization Study, Based On Software Project Risk Control Process

Choosing a correct software process and controlling the process effectively has been the key to guarantee the success of a software project.However in practice,the process assessment is executed based on actual measured data after a project has been completed partly or totally[2].Therefore the results of the process assessment and optimization can only be applied to the process control for later software projects. Obviously there is a distinguished defect in this kind of project management,namely "locking the stable door after the horse has been stolen".This dissertation presents a new approach for assessing and optimizing software project process based on software risk control,which evaluates and optimizes software project process from the view of controlling the software project risks.A model for optimizing software risk control is given,a discrete optimization algorithm based on dynamic programming is proposed and an example of using above method to solve a problem is also included in this paper.By improving the passive post-project control into an active effective pre-action, this new method can greatly promote the possibility of success of software projects.