Graphical safety assurance case using Goal Structuring Notation (GSN)—challenges, opportunities and a framework for autonomous trains

M Chelouati, A Boussif, J Beugin… - Reliability Engineering & …, 2023 - Elsevier
The development of fully autonomous vehicles is an ambition that took seed in the
automotive industry a few years ago and is now growing in the railways considering their …

Generalized combination rule for evidential reasoning approach and Dempster–Shafer theory of evidence

YW Du, JJ Zhong - Information Sciences, 2021 - Elsevier
Abstract The Dempster–Shafer (DS) theory of evidence can combine evidence with one
parameter. The evidential reasoning (ER) approach is an extension of DS theory that can …

[HTML][HTML] Evidence-based decision-making: On the use of systematicity cases to check the compliance of reviews with reporting guidelines such as PRISMA 2020

AB Belle, Y Zhao - Expert Systems with Applications, 2023 - Elsevier
Background and context Systematic reviews aim to provide high-quality evidence-based
syntheses for efficacy under real-world conditions and allow understanding the correlations …

Addressing uncertainty in the safety assurance of machine-learning

S Burton, B Herd - Frontiers in Computer Science, 2023 - frontiersin.org
There is increasing interest in the application of machine learning (ML) technologies to
safety-critical cyber-physical systems, with the promise of increased levels of autonomy due …

Towards continuous safety assurance for autonomous systems

P Schleiss, F Carella, I Kurzidem - 2022 6th International …, 2022 - ieeexplore.ieee.org
Ensuring the safety of autonomous systems over time and in light of unforeseeable changes
is an unsolved task. This work outlines a continuous assurance strategy to ensure the safe …

[HTML][HTML] A probabilistic model of belief in safety cases

D Nešić, M Nyberg, B Gallina - Safety science, 2021 - Elsevier
A safety case is a hierarchical argument supported by evidence, whose scope is defined by
contextual information. The goal is to show that the conclusion of such argument, typically …

Confidence assessment in safety argument structure-Quantitative vs. qualitative approaches

Y Idmessaoud, D Dubois, J Guiochet - International Journal of Approximate …, 2024 - Elsevier
Some safety standards (eg, ISO 26262 in automotive industry) propose the use of argument
structures to justify that the high-level safety properties of a system have been ensured. The …

Quantifying assurance in learning-enabled systems

E Asaadi, E Denney, G Pai - … on Computer Safety, Reliability, and Security, 2020 - Springer
Dependability assurance of systems embedding machine learning (ML) components—so
called learning-enabled systems (LESs)—is a key step for their use in safety-critical …

Fusing multi-source quality statistical data for construction risk assessment and warning based on deep learning

B Gao, Z Ma, J Gu, X Han, P **: A case study in Jilin province, China
Q Dou, S Qin, Y Zhang, Z Ma, J Chen, S Qiao, X Hu… - Entropy, 2019 - mdpi.com
Debris flow is one of the most frequently occurring geological disasters in Jilin province,
China, and such disasters often result in the loss of human life and property. The objective of …