A neuro-fuzzy model for function point calibration

  • Authors:

  • Wei Xia;Danny Ho;Luiz Fernando Capretz

  • Affiliations:

  • HSBC Bank Canada, IT Department, Vancouver, BC, Canada;NFA Estimation Inc., London, ON, Canada;University of Western Ontario, Dept. Electrical & Computer Engineering, London, ON, Canada

  • Venue:
  • WSEAS Transactions on Information Science and Applications
  • Year:
  • 2008

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Abstract

The need to update the calibration of Function Point (FP) complexity weights is discussed, 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. The empirical validation using ISBSG data repository Release 8 shows a 22% improvement in software effort estimation after calibration using Neuro-Fuzzy technique.