Bayesian Inference for Credible Intervals of Optimal Software Release Time
This paper deals with the estimation of a credible interval of the optimal software release time in the context of Bayesian inference. In the past literature, the optimal software release time was often discussed under the situation where model parameters are exactly known. However, in practice, we should evaluate effects of the optimal software release time on uncertainty of the model parameters. In this paper, we apply Bayesian inference to evaluating the uncertainty of the optimal software release time. More specifically, a Markov chain Monte Carlo (MCMC) method is proposed to compute a credible interval of the optimal software release time.
Unable to display preview. Download preview PDF.
- 5.Gokhale, S.S., Trivedi, K.S.: Log-logistic software reliability growth model. In: Proc. 3rd IEEE Int’l. High-Assurance Systems Eng. Symp. (HASE 1998), pp. 34–41 (1998)Google Scholar
- 11.Okamura, H., Dohi, T.: Building phase-type software reliability model. In: Proc. of the 17th Int’l Symp. on Software Reliab. Eng. (ISSRE 2006), pp. 289–298 (2006)Google Scholar
- 13.Okamura, H., Dohi, T., Osaki, S.: Software reliability growth model with normal distribution and its parameter estimation. In: Proceedings of the International Conference on Quality, Reliability, Maintenance and Safety Engieering (ICQR2MSE), pp. 424–429 (2011)Google Scholar