Evaluating the Predicting Capabilities of Software Reliability Model
Shailee Choudhary, Yogita Kansal · 2014
Abstract: Software Reliability Engineering focuses on dealing with the best quality of software. It covers the maintainability, capability; install ability and much more features of software. The researchers have proved that there are thousands of models for evaluating the reliability of software. But these models lack in prediction as the parameters selection criteria are different in each model. Furthermore, when we talk about prediction the best way to carry this out is via Neural Network model (i.e. Non-Parametric model). The other idea is to unify the neural network with analytical model (i.e. Software Reliability Parametric model) so as to improve the prediction efficiency of analytical models. The matter of concern shown in this paper is although we have both parametric and non-parametric models but how to judge which one is better. Hence, the paper concludes the optimal model.