RADIAL BASIS FUNCTION NEURAL NETWORK FOR SOFTWARE ENGINEERING MEASURES - A SURVEY

In software quality, the software reliability is the very essential part where it has the capability to manage its individual functions at various conditions. Now-a-days, Software measurements are entirely depends on different techniques like Fuzzy Logic, Neural Network, and Genetic Algorithm etc. This paper reviews SVM (Support Vector Machine) and RBFN to the issues of software measurement in order to increase the correctness as well as the performance. RBF (Radial Basis Function) and SVM has some secure relationship among them where they both are identified in many applications like in face verification, optical character recognition, text categorization and object detection etc. The results examines both the performance analyzes about RBFN and SVM Gaussian Radial Basis Kernel Function. This paper also compares the RBFN and SVM with parameter MRE.