Huang, X., Ho, D., Capretz, L. F. and Ren, J. Improving the COCOMO model with a neuro-fuzzy approach, Applied Soft Computing, Elsevier, January 2007. 

   [Abstract] Accurate software development cost estimation is  important  for  effective  project management such as budgeting, project planning and control. So far, no model has proved to be successful at effectively and consistently predicting software development cost. A novel neuro-fuzzy Constructive Cost Model (COCOMO) is proposed for software cost estimation. This model carries some of the desirable features of a neuro-fuzzy approach, such as learning ability and good interpretability, while maintaining the merits of the COCOMO model. Unlike standard neural network approach, the proposed model can be interpreted and validated by experts, and has good generalization capability. By dealing effectively with imprecise and uncertain inputs, the model enhances the reliability of software cost estimates.

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