Timing Model for Predictive Simulation of Safety-critical Systems

Emilia Cioroaica, José Blanco, Bruno Rossi

2022

Abstract

Emerging evidence shows that safety-critical systems are evolving towards operating in uncertain context while integrating intelligent software that evolves over time as well. Such behavior is considered to be unknown at every moment in time because when faced with a similar situation, these systems are expected to display an improved behavior based on artificial learning. Yet, a correct learning and knowledge-building process for the non-deterministic nature of an intelligent evolution is still not guaranteed and consequently safety of these systems cannot be assured. In this context, the approach of predictive simulation enables runtime predictive evaluation of a system behavior and provision of quantified evidence of trust that enables a system to react safety in case malicious deviations, in a timely manner. For enabling the evaluation of timing behavior in a predictive simulation setting, in this paper we introduce a general timing model that enables the virtual execution of a system’s timing behavior. The predictive evaluation of the timing behavior can be used to evaluate a system’s synchronization capabilities and in case of delays, trigger a safe fail-over behavior. We iterate our concept over an use case from the automotive domain by considering two safety critical situations.

Paper Citation

in Harvard Style

Cioroaica E., Blanco J. and Rossi B. (2022). Timing Model for Predictive Simulation of Safety-critical Systems. In Proceedings of the 17th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-588-3, pages 331-339. DOI: 10.5220/0011317000003266

in Bibtex Style

@conference{icsoft22,
author={Emilia Cioroaica and José Blanco and Bruno Rossi},
title={Timing Model for Predictive Simulation of Safety-critical Systems},
booktitle={Proceedings of the 17th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2022},
pages={331-339},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011317000003266},
isbn={978-989-758-588-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Timing Model for Predictive Simulation of Safety-critical Systems
SN - 978-989-758-588-3
AU - Cioroaica E.
AU - Blanco J.
AU - Rossi B.
PY - 2022
SP - 331
EP - 339
DO - 10.5220/0011317000003266