Fuzzy Model Tree For Early Effort Estimation

March 11, 2017 Β· Declared Dead Β· πŸ› International Conference on Machine Learning and Applications

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Authors Mohammad Azzeh, Ali Bou Nassif arXiv ID 1703.04565 Category cs.SE: Software Engineering Cross-listed cs.AI Citations 22 Venue International Conference on Machine Learning and Applications Last Checked 4 months ago
Abstract
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.
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