Exploration of an Error Prevention Model for COSMIC Functional Size Measurement Method

The reliability of Functional size is crucial for effort and cost estimation in software development projects. However, estimation results may differ because of the errors made in the measurement process. This research proposes an error prevention model for COSMIC Functional Size Measurement method to increase the reliability of the measurements. The model has two main suggestions, first, to use the types of the functional processes during the measurement to prevent errors, and the second, to use a cardinality table to prevent errors related with cascading processes.