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Software Effort Estimation Using Attribute Refinement based Adaptive Neuro Fuzzy Model

Abstract

Software effort estimation is one of the most challenging and important activity in software development. Accurate estimates not only help the customer make successful investments but also assist the software project manager in coming up with appropriate plans.Research on software effort estimation is needed to build more accurate models of the key aspects of software development.The exact relationship between the attributes of the effort estimation are difficult to establish.Int his dissertation,an extension to the well known model for effort estimation,COCOMOII,is introduced for improving the effort estimation accuracy of software maintainence.The existing techniques cannot handle the dataset having categorical variables efficiently including the analogy method The performance of this proposed methodology illustrates that there is arealistic validationof the results with the realtime NASA dataset.The results were analyzed using the Mean Magnitude Relative Error(MMRE) to prove its efficiency.

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