An Optimized Analogy-Based Project Effort Estimation
Software Engineering
2017-03-20 v1
Abstract
Despite the predictive performance of Analogy-Based Estimation (ABE) in generating better effort estimates, there is no consensus on how to predict the best number of analogies, and which adjustment technique produces better estimates. This paper proposes a new adjusted ABE model based on optimizing and approximating complex relationships between features and reflects that approximation on the final estimate. The results show that the predictive performance of ABE has noticeably been improved, and the number of analogies was remarkably variable for each test project.
Cite
@article{arxiv.1703.04563,
title = {An Optimized Analogy-Based Project Effort Estimation},
author = {Mohammad Azzeh and Yousef Elsheikh and Marwan Alseid},
journal= {arXiv preprint arXiv:1703.04563},
year = {2017}
}