Neural Network Approach for Software Cost Estimation
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II - Volume 02
Comparing Uniform and Flexible Policies for Software Maintenance and Replacement
IEEE Transactions on Software Engineering
The Structural Complexity of Software: An Experimental Test
IEEE Transactions on Software Engineering
Software Effort, Quality, and Cycle Time: A Study of CMM Level 5 Projects
IEEE Transactions on Software Engineering
Applying fuzzy neural network to estimate software development effort
Applied Intelligence
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Project manager is responsible to see the company does not suffer from time overruns and cost overruns, unfortunately accurate forecast of effort estimations stems from mature organizations only, others owing to lack of history databases, when we estimating the total functionality of the project there is a need to form the total complexity matrix for the data and transactional points, at certain point with the increase of one RET and DET the final resulting measurement will not correspond to a sufficiently accurate function point value, for this purpose we are adopting soft computing technique. This work proposes the use of concepts and properties from fuzzy set theory to extend FPA to FFPA (Fuzzy Function Point Analysis). Fuzzy theory seeks to build a formal quantitative structure capable of emulating the imprecision of human knowledge. With the function points generated by FFPA, we can observe the error correction in Function Point Estimation so derived values such as costs and terms of development can be more precisely determined.