Efficient Software Cost Estimation Using Neuro-Fuzzy Technique

Software estimation accuracy is among the greatest challenges for software developers. As Neuro-fuzzy based system is able to approximate the non-linear function with more precision so it is used as a soft computing approach to generate model by formulating the relationship based on its training. The approach presented in this paper is independent of the nature and type of estimation. In this paper, COCOMO and function point is used as algorithmic model and an attempt is being made to validate the soundness of Neuro fuzzy technique using NASA and ISBSG project data.