Development of Software Effort Estimation using a Non Fuzzy Model

Now day’s accurate estimation of the software effort is a challenging issue for the modern software developers. So, to bind a contract depends purely on the estimated cost of the software. Over estimate or under estimate lead a loss or gain of the software project and also increase the probability of success and failure of the project and delay of delivery date. In this paper, we use a non fuzzy conditional algorithm to build a suitable model structure to use the improved estimation for NASA software projects. We plan to set of linear conditional models using the domain of possible KLOC (Kilo Lines of Code). The performance of developed model was analyzed using NASA data set and we compare with the result of COCOMO tuned-PSO, Halstead, Walston -Felix, Bailey-Basili and Doty models were provided