The Comparative Study of Software Maintenance Forecasting Analysis Based on Backpropogation (NFTOOL and NTSTOOL) and Adaptive nuero fuzzy interference system ANFIS.
Anuradha Chug, Ankita Sawhney · 2013
Software could be called as heartbeat of today technology. In order to make our software pace with the modern day expansion, it must be inevitable to changes. Enhancements and defects can be stated as two major reasons for software change.Software maintainability refers to the degree to which software can be understood, corrected or enhanced. Maintainability of software accounts for more than any other Software engineering activity. The aim of the paper is to present a study based on the experimental analysis to show that ANFIS can more accurately predict maintainability as compared to other models. Predicting the maintainability accurately using ANFIS has got its benefits in now a day's risk sensitive business with economic environment where software holds the most valuable assets ,may it be transaction processing (governmental or banking service) ,manufacturing automation(chemicals ,automation) or any other industry. Keywords-ANFIS (Adaptive nuero fuzzy interface system), ANN (Artificial nueral network), Software Maintainability, OO metrics, change, S.D (Standard Deviation), MSE (Mean square error)