Increasing Software Effort Estimation Accuracy Using Experience Data, Estimation Models and Checklists

Abstract

It is frequently suggested that using experience data, estimation models and checklists can increase software effort estimation accuracy. However, there has been limited empirical research on the subject. We conducted a study of eighteen of the latest projects of a software contractor. Quantitative and qualitative data was collected on several issues related to estimates, key project properties, and project outcome. It was found that in projects where experience data was utilized in the estimation process, they experienced a lesser magnitude of effort overruns. The use of a checklist also appeared to increase estimation accuracy. However, the utilization of an estimation model did not appear to have a substantial impact.