The Impact of Operational-Data Fidelity when Assessing Safety-Critical Autonomous-Vehicle Software
This research uses conservative Bayesian inference to check if reliability claims from incomplete operational data are too optimistic for safety-critical software, like autonomous vehicles. It shows that failing to account for different types of failures can lead to dangerously inaccurate assessments regarding the true reliability of the software.