Software Cost Estimation Using Environmental Adaptation Method

Environmental adaptation method (EAM) is one of the evolutionary algorithms for solving single objective optimization problems. After the first proposal of EAM, other variants have been suggested to speed up the convergence and to maintain the population diversity. Among them, IEAM-RP works with real numbers and was able to achieve the desired goal during the optimization process. In this paper, IEAM-RP is used to predict the effort required to develop the software product. The experiments are carried out on NASA software project dataset to check the effectiveness of IEAM-RP. The experimental results demonstrated that the overall performance of IEAM-RP is quite satisfactory in predicting the effort required to develop a software. (C) 2018 The Authors. Published by Elsevier B.V.