EMPIRICAL APPLICATION OF SIMULATED ANNEALING USING OBJECT-ORIENTED METRICS TO INCREASE THE ACCURACY IN SOFTWARE EFFORT ESTIMATION

The work is about using Simulated Annealing Algorithm for the effort estimation model parameter optimization which can lead to the reduction in the difference in actual and estimated effort used in model development. The model has been tested using OOP’s dataset, obtained from NASA for research purpose.The data set based model equation parameters have been found that consists of two independent variables, viz. Lines of Code (LOC) along with one more attribute as a dependent variable related to software development effort (DE). The results have been compared with the earlier work done by the author on Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference System (ANFIS) and it has been observed that the developed SA based model is more capable to provide better estimation of software development effort than ANN and ANFIS