A Min-Max Approach for Improving the Accuracy of Effort Estimation of COCOMO
This paper proposed to extend the COnstructive COst MOdel (COCOMO) by incorporating the concept of min-max approach to estimation. Formal effort estimation models like COnstructive COst MOdel (COCOMO) are limited by their inability to manage uncertainties and imprecision surrounding software projects early in the development life cycle. A min-max approach is suggested to rectify data uncertainties and modeling errors. The proposed method of min-max is used to improve the accuracy of effort estimation of COCOMO and its result have been compared with the gradient descent, robust fuzzy clustering, k-mean clustering methods of estimation.