Title :
An investigation of using Neuro-Fuzzy with software size estimation
Author :
Wong, Justin ; Ho, Danny ; Capretz, Luiz Fernando
Author_Institution :
Quotemedia Ltd., Burnaby, BC
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 neuro-fuzzy approach improves software size estimations. It was found that a neuro-fuzzy approach provides minimal improvement over the traditional backfiring sizing technique.
Keywords :
fuzzy logic; neural nets; software cost estimation; software performance evaluation; backfiring sizing technique; categorical data size estimation model; fuzzy logic; hybrid intelligent system; neural network; neuro-fuzzy approach; software size estimation; Application software; Biological neural networks; Computer languages; Costs; Environmental factors; Equations; Fuzzy logic; Hybrid intelligent systems; Neural networks; Project management;
Conference_Titel :
Software Quality, 2009. WOSQ '09. ICSE Workshop on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-3723-8
DOI :
10.1109/WOSQ.2009.5071557
