Towards Compositional Assurance of Large Cyber-Physical Systems

Assurance of evolving large cyber-physical systems (CPS) is time-consuming, and usually a bottleneck for deploying them with confidence. Several factors contribute to this problem, including the lack of effective reuse of assurance results, the difficulty to integrate multiple analyses for multiple subsystems, and the lack of explicit consideration of the different levels of trust that different analyses provide. In this paper, we present an approach to assure large CPS that aims to overcome these barriers.

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Published
2025-04-22
DOI
https://doi.org/10.1145/3722571.3727836
Primary Topic
Safety Systems Engineering in Autonomy
Type
article
Field-Weighted Citation Impact
0.00

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article

Towards Compositional Assurance of Large Cyber-Physical Systems

Mark Klein, Farzaneh Derakhshan, Limin Jia, S. Saha et al.
Safety Systems Engineering in Autonomy
article

Towards Compositional Assurance of Large Cyber-Physical Systems

Mark Klein, Farzaneh Derakhshan, Limin Jia, S. Saha, Gabriel A. Moreno
article en

Abstract

Assurance of evolving large cyber-physical systems (CPS) is time-consuming, and usually a bottleneck for deploying them with confidence. Several factors contribute to this problem, including the lack of effective reuse of assurance results, the difficulty to integrate multiple analyses for multiple subsystems, and the lack of explicit consideration of the different levels of trust that different analyses provide. In this paper, we present an approach to assure large CPS that aims to overcome these barriers.

Software Engineering Institute (US), Illinois Institute of Technology (US), Carnegie Mellon University (US)
National Science Foundation
Openalex Percentile: Top 91%
Safety Systems Engineering in Autonomy
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