AI Based Model for Software Project Planning

Software Effort estimation is the process of predicting the effort required to develop software project based on incomplete, uncertain and/or noisy input. Researchers have been working on estimation models to predict effort to be spent on a software project, which is still a complex problem. Estimation models derived by researchers are conclusion of studying large number of completed software projects from various organizations [5]. Improving the estimation techniques available to project managers can facilitate more effective control of time and budgets in software development. In this paper, we have proposed a model based on soft computing technique and statistical techniques to build a more accurate and sophisticated model that can improve estimates of effort required for software project planning. The model developed automatically predicts effort by formulating the relationship based on its training.