earticle

영어

Software cost estimation is a challenging and onerous task. Estimation by analogy is one of the expedient techniques in software effort estimation field. However, the methodology utilized for the estimation of software effort by analogy is not able to handle the categorical data in an explicit and precise manner. Early software estimation models are based on regression analysis or mathematical derivations. Today’s models are based on simulation, neural network, genetic algorithm, soft computing, fuzzy logic modelling etc. This paper aims to utilize a fuzzy logic model to improve the accuracy of software effort estimation. In this approach fuzzy logic is used to fuzzify input parameters of COCOMO II model and the result is defuzzified to get the resultant Effort. Triangular fuzzy numbers are used to represent the linguistic terms in COCOMO II model. The results of this model are compared with COCOMO II and Alaa Sheta Model. The proposed model yields better results in terms of MMRE, PRED(n) and VAF.