Fuzzy Model Tree For Early Effort Estimation
This work addresses the challenge of early effort estimation in software development for practitioners, though it appears incremental as it builds on existing UCP methods with a new modeling technique.
The paper tackled the problem of deriving software effort estimates from Use Case Points (UCP) by proposing a Fuzzy Model Tree approach, which showed promising results with better performance than classical UCP and Multiple Linear Regression, and slightly better than Treeboost model.
Use Case Points (UCP) is a well-known method to estimate the project size, based on Use Case diagram, at early phases of software development. Although the Use Case diagram is widely accepted as a de-facto model for analyzing object oriented software requirements over the world, UCP method did not take sufficient amount of attention because, as yet, there is no consensus on how to produce software effort from UCP. This paper aims to study the potential of using Fuzzy Model Tree to derive effort estimates based on UCP size measure using a dataset collected for that purpose. The proposed approach has been validated against Treeboost model, Multiple Linear Regression and classical effort estimation based on the UCP model. The obtained results are promising and show better performance than those obtained by classical UCP, Multiple Linear Regression and slightly better than those obtained by Tree boost model.