HYPERMEDIA WEB SOFTWARE EFFORT ESTIMATE WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM

Accurate software cost estimates are an important factor in the stability of the software companies in the world competitive and efficient use of resources. Nature and structure of web applications is quite different from traditional software. In 2003, The estimated cost of hypermedia web projects was based on seven features were obtained best results, using case base reasoning (CBR) using Stepwise Regression approaches with MMRE on 37 web hypermedia projects. We considered count of html, count of media files and count of inner links features, presented in this paper proposed approach to reduce predicted effort Error than the actual amount for web hypermedia projects and calculate average relative deviations (AAD), through adaptive neuro fuzzy system (ANFIS) Method that is achieved better and more accurate results.