An investigation of using neuro-fuzzy with software size estimation

Authors:
Justin Wong;Danny Ho;Luiz Fernando Capretz
Affiliations:
Quotemedia Ltd., Burnaby, BC, Canada;NFA Estimation Inc., Oshawa, ON, Canada;University of Western Ontario, Dept. Electrical & Comp. Eng., London, ON, Canada
Venue:
WOSQ'09 Proceedings of the Seventh ICSE conference on Software quality
Year:
2009

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Abstract

Neuro-Fuzzy refers to a hybrid intelligent system using both neural network and fuzzy logic. In this study, neuro-fuzzy is applied to a backfiring and categorical data size estimation model. Evaluation was conducted to determine whether a neurofuzzy approach improves software size estimations. It was found that a neuro-fuzzy approach provides minimal improvement over the traditional backfiring sizing technique.