software development and control involves the use of quantitative software estimation and assessment models that are supported by theory and collected historical project data. Numerous models have been developed in the last years that predict software cost and schedule at an early stage of the development life cycle. In this research paper we have analyzed the behavior of different cost drivers that participates in accurately predicting the cost of any project and substitute it with its near value to show the effective decrease in the required effort using a web based tool Agile COCOMO II .