Merging Distinct Sources Databases to Improve Software Estimation Models

Valdés-Souto, F., Valeriano-Assem, J.

For more than six decades, software cost/effort estimation has been a relevant topic for research due to its impact on the industry. Although many estimation models exist, regression-based estimation approaches have been predominantly used in the literature. However, some problems have been observed both in industry and academia: the lack of datasets with a high or at least enough number of data points and the arbitrary combination of different source databases belonging to practitioners in order to create larger
datasets.