Calibrating Function Points Using Neuro-Fuzzy Technique
Software Engineering
2015-08-04 v1
Abstract
The concepts of calibrating Function Points are discussed, whose aims are to fit specific software application, to reflect software industry trend, and to improve cost estimation. Neuro-Fuzzy is a technique which incorporates the learning ability from neural network and the ability to capture human knowledge from fuzzy logic. The empirical validation using ISBSG data repository Release 8 shows a 22% improvement in software effort estimation after calibration using Neuro-Fuzzy technique.
Keywords
Cite
@article{arxiv.1508.00028,
title = {Calibrating Function Points Using Neuro-Fuzzy Technique},
author = {Wei Xia and Danny Ho and Luiz Fernando Capretz},
journal= {arXiv preprint arXiv:1508.00028},
year = {2015}
}
Comments
21st International Forum on Systems, Software and COCOMO Cost Modeling, Washington/DC, 6 pages, 2006. arXiv admin note: substantial text overlap with arXiv:1507.06934