Article

Fuzzy Model Tree for Early Effort Estimation

Authors:

Mohammad Azzeh,

Ali Bou NassifAuthors Info & Claims

ICMLA '13: Proceedings of the 2013 12th International Conference on Machine Learning and Applications - Volume 02

Pages 117 - 121

https://doi.org/10.1109/ICMLA.2013.115

Published: 04 December 2013 Publication History

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 Tree boost 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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Azzeh MAlkhateeb ABou Nassif A(2024)Software effort estimation using convolutional neural network and fuzzy clusteringNeural Computing and Applications10.1007/s00521-024-09855-z36:23(14449-14464)Online publication date: 7-May-2024
https://dl.acm.org/doi/10.1007/s00521-024-09855-z
Amaral WRivero LJunior GViana DAlbuquerque Ade Paula Barros A(2019)Using Machine Learning Technique for Effort Estimation in Software DevelopmentProceedings of the XVIII Brazilian Symposium on Software Quality10.1145/3364641.3364670(240-245)Online publication date: 28-Oct-2019
https://dl.acm.org/doi/10.1145/3364641.3364670
Alelyani TMao KYang YTurhan BBowes DShihab E(2017)Context-Centric PricingProceedings of the 13th International Conference on Predictive Models and Data Analytics in Software Engineering10.1145/3127005.3127012(63-72)Online publication date: 8-Nov-2017
https://dl.acm.org/doi/10.1145/3127005.3127012

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ICMLA '13: Proceedings of the 2013 12th International Conference on Machine Learning and Applications - Volume 02

December 2013

581 pages

ISBN:9780769551449

Publisher

IEEE Computer Society

United States

Publication History

Published: 04 December 2013

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Azzeh MAlkhateeb ABou Nassif A(2024)Software effort estimation using convolutional neural network and fuzzy clusteringNeural Computing and Applications10.1007/s00521-024-09855-z36:23(14449-14464)Online publication date: 7-May-2024
https://dl.acm.org/doi/10.1007/s00521-024-09855-z
Amaral WRivero LJunior GViana DAlbuquerque Ade Paula Barros A(2019)Using Machine Learning Technique for Effort Estimation in Software DevelopmentProceedings of the XVIII Brazilian Symposium on Software Quality10.1145/3364641.3364670(240-245)Online publication date: 28-Oct-2019
https://dl.acm.org/doi/10.1145/3364641.3364670
Alelyani TMao KYang YTurhan BBowes DShihab E(2017)Context-Centric PricingProceedings of the 13th International Conference on Predictive Models and Data Analytics in Software Engineering10.1145/3127005.3127012(63-72)Online publication date: 8-Nov-2017
https://dl.acm.org/doi/10.1145/3127005.3127012

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Effort estimation model for software development projects based on use case reuse

A novel fuzzy based approach for effort estimation in software development

Early effort estimation in web application development

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