A Note on Epistemic Uncertainty Propagation for Software Reliability Metrics  
Author Hiroyuki Okamura


Co-Author(s) Jiahao Zhang; Junjun Zheng; Tadashi Dohi


Abstract In this paper, we discuss the epistemic uncertainty propagation in software reliability growth models (SRGMs). In particular, we focus on the moment-based approximation for software reliability measures that are obtained from SRGMs. In the experiment, we investigate the accuracy of moment-based approach by comparing the Bayes estimation.


Keywords Software reliability measures, epistemic uncertainty, moment-based approximation, Bayes estimation
    Article #:  RQD27-91

Proceedings of 27th ISSAT International Conference on Reliability & Quality in Design
Virtual Event

August 4-6, 2022