Neuro-fuzzy approach to calibrate function points

Authors:
Wei Xia;Luiz Fernando Capretz;Danny Ho
Affiliations:
HSBC Bank Canada, IT Department, Vancouver, BC, Canada;University of Western Ontario, Dept. Electrical & Computer Engineering, London, ON, Canada;NFA Estimation Inc., London, ON, Canada
Venue:
FS'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Fuzzy Systems - Volume 8
Year:
2007

Citing 5
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Abstract

Function Points is an important and well-accepted software size metric. However, it is absolutely essential to accurately calibrate Function Point (FP), whose aims are to fit specific software application, to reflect software industry trend, and to improve cost estimation. Neuro-Fuzzy is a technique that incorporates the learning ability from neural network and the ability to capture human knowledge from fuzzy logic. We developed a Neuro-Fuzzy model to calibrate Function Points. The empirical validation using ISBSG data repository Release 8 shows a 22% improvement in software effort estimation after calibration using Neuro-Fuzzy technique.