Software Cost Estimation Using SVR Based on Immune Algorithm

Increasing use of information system has led to larger amount of developing expenses and demands on software. Until recent days, the model using regression analysis based on statistical algorithm has been used. However, Machine learning is more being investigated now. This paper estimates the software cost using SVR (Support Vector Regression), a sort of machine learning technique. It, also, finds the best set of parameters applying immune algorithm. In this paper, Software cost estimation is performed by SVR based on immune algorithm while changing populations, memory cells, and the number of allele. Also, this paper analyzes and compares the result with existing linear regression method and other machine learning methods.