Gompertz software reliability model: Estimation algorithm and empirical validation
Journal of Systems and Software
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Discrete software reliability assessment with discretized NHPP models
Computers & Mathematics with Applications
Software reliability assessment using artificial neural network
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
EM algorithm for discrete software reliability models: a unified parameter estimation method
HASE'04 Proceedings of the Eighth IEEE international conference on High assurance systems engineering
| Hi-index | 0.00 |
We propose a criterion to determine a more approprite software reliability growth model in the early development phase.The criterion with a discrete software reliability growth model determines the absolute worth of a model because the discrete software reliability growth model perfectly reproduces the parameter estimates when the data are used as an exact solution of the equation.The values of the proposed criterion of a discrete software reliability growth model are smaller than those of another software reliability growth model in all periods during the test phase with actual data sets. The discrete software reliability growth models are described with difference equations which have exact solutions.The models yield accurate parameter estimates in spite of a small amount of input data in an actual software testing. Therefore, the criterion and discrete software reliability growth models enable us to predict in the early development phase when software can be released.