Development of software effort estimation using a non-fuzzy model
by H. Parthasarathi Patra; Kumar Rajnish
International Journal of Computational Systems Engineering (IJCSYSE), Vol. 4, No. 1, 2018

Abstract: Nowadays, accurate estimation of the software effort is a challenging issue for the modern software developers. To bind a contract depends purely on the estimated cost of the software. Overestimation or underestimation leads to a loss or gain of the software project and also increases the probability of success and failure of the project. In this paper we used a non fuzzy conditional algorithm to build a suitable model to estimate the software effort taking NASA software projects data. We have planned to set of linear conditional models using the domain of possible kilo lines of code (KLOC). The performance of the developed model has been analysed using NASA data set (Bailey and Basili, 1981) and we compare with the result of COCOMO tuned-PSO, Halstead, Walston-Felix, Bailey-Basili and Doty models were provided.

Online publication date: Sun, 25-Mar-2018

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