On Bayesian inference of software reliability measurement
Shinji Inoue, Shigeru Yamada · 2017
We discuss an interval estimation approach for parameters and software reliability assessment measures, which are derived from a discretized software reliability model. In our approach, we apply the Markov chain Monte Carlo (MCMC) method for conducing Bayesian interval estimations in software reliability assessment. Further, we shows numerical examples of our approach by using actual fault count data.