Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications

A Connectionist Approach for Incorporating Continuous Code Churn into Software Reliability Growth Models

N. Karunanithi

Room 2E-378, Bellcore445, South Street, Morristown, NJ 07960 [e-mail]

Abstract

A large number of execution-time based reliability growth models have been proposed for estimating reliability of software systems. One of the key assumptions made in almost all of the models is that the complete code for the system is available before testing starts and that the code remains frozen during testing. However, this assumption is often violated in large software projects because usually the code is developed in parts. This paper demonstrates the applicability of the neural network approach to the problem of developing ...