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Calibrating Function Points Using Neuro-Fuzzy Technique
July 31, 2015 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Wei Xia, Danny Ho, Luiz Fernando Capretz
arXiv ID
1508.00028
Category
cs.SE: Software Engineering
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
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.
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