Estimating the effort required to develop software is known as software effort estimation (SEE). The support vector regression (SVR), a machine learning algorithm, has been successfully used for effort estimation of cross company (CC) data sets.
Select the most appropriate ISBSG (International Software Benchmarking Standards Group) data, for use in Software Development Effort Estimation.
Many cost estimation models have been proposed over the last three decades. In this study, we investigate fuzzy ID3 decision tree as a method for software effort estimation.