Du, W.L., Ho, D., Capretz, L.F.  Improving Software Effort Estimation Using Neuro-Fuzzy Model with SEER-SEM, Global Journal of Computer Science and Technology, Volume 10, Issue 12, October 2010

   [Abstract] Accurate software development effort estimation is a critical part of software projects. Effective development of software is based on accurate effort estimation. Although many techniques and algorithmic models have been developed and implemented by practitioners, accurate software development effort prediction is still a challenging endeavor in the field of software engineering, especially in handling uncertain and imprecise inputs and collinear characteristics. In order to address these issues, previous researchers developed and evaluated a novel soft computing framework. The aims of our research are to evaluate the prediction performance of the proposed neuro-fuzzy model with System Evaluation and Estimation of Resources (SEER-SEM) in software estimation practices and to apply the proposed architecture that combines the neuro-fuzzy technique with different algorithmic models.