Conceptual Software Reliability Model using Neural Network

Reliability is the one of the most important attribute of the software for customer satisfaction. It is big challenge for the software development organizations to achieve the reliability of the software. Since research on software reliability is being carried out for last three decades and various software reliability models have been developed. These models calculate the reliability of the software and help to take decision to deploy the software or continue the testing process to meet the reliability objective. The models used so far, worked on the basis of some conventions which must be made before the beginning of the project like software development environment, the nature of software failures, the probability of individual failures. Recent research in the field of the Neural Network can also be applied to calculate the software reliability. The best thing to use Neural Network is to calculate the reliability without making any basic assumptions. In this paper, a conceptual model is proposed to develop the software reliability model using the approach of Neural Network.