A Novel Cost Estimation Techniques using Quantified Drivers for COCOMO

Cost estimation is the way to measure the budgetary requirements of resources and efforts for the development of projects. It gives the amount of resources and efforts requires for completion of the task in defined time limits. During the last few decades there are various models suggested for cost estimation and resource analysis. Among them COCOMO is well known model developed for software cost estimation. The model evolves so many time during its execution period. Majorly the model emphasizes on capturing the values of different process and drivers executed for developing the quality product. The recent version is Intermediate COCOMO which suggests 15 cost drivers with different scaling values according to different situations and resource requirements. Each driver and its scaling are selected manually by the person or analyst who may make manual mistakes. This paper suggests major formulation for increasing the accuracy and reducing the manual efforts towards calculating the software reliability, application size database, product complexity & Application of Software Engineering Methods. It will also covers the guidelines for definition or selection of the scaling for measuring the cost attributes. At the analytical level of evaluation the paper is showing major benefits over its current competitor.