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Safety verification utilizing model-based development for safety critical cyber-physical systems

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Safety verification utilizing model-based development for safety critical cyber-physical systems. / Ishigooka, T.; Saissi, H.; Piper, T. et al.
In: Journal of Information Processing Systems, Vol. 25, 15.08.2017, p. 797-810.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Ishigooka, T, Saissi, H, Piper, T, Winter, S & Suri, N 2017, 'Safety verification utilizing model-based development for safety critical cyber-physical systems', Journal of Information Processing Systems, vol. 25, pp. 797-810. https://doi.org/10.2197/ipsjjip.25.797

APA

Ishigooka, T., Saissi, H., Piper, T., Winter, S., & Suri, N. (2017). Safety verification utilizing model-based development for safety critical cyber-physical systems. Journal of Information Processing Systems, 25, 797-810. https://doi.org/10.2197/ipsjjip.25.797

Vancouver

Ishigooka T, Saissi H, Piper T, Winter S, Suri N. Safety verification utilizing model-based development for safety critical cyber-physical systems. Journal of Information Processing Systems. 2017 Aug 15;25:797-810. doi: 10.2197/ipsjjip.25.797

Author

Ishigooka, T. ; Saissi, H. ; Piper, T. et al. / Safety verification utilizing model-based development for safety critical cyber-physical systems. In: Journal of Information Processing Systems. 2017 ; Vol. 25. pp. 797-810.

Bibtex

@article{fc621f5e173a4ed195cfeaab2e959f76,
title = "Safety verification utilizing model-based development for safety critical cyber-physical systems",
abstract = "The application of cyber-physical systems (CPSs) in safety-critical application domain requires rigorous verification of their functional correctness and safety-relevant properties. We propose a practical verification process which enables to conduct safety verification of safety critical CPSs. The verification process consists of (a) a system model construction method, which generates a system model by combining software described in C and plant model code reused from model-based development, (b) a model transformation method, which transforms the plant models including differential algebraic equations (DAE) to approximate models without DAE to reduce verification complexity induced by DAE solver execution, (c) a model simplification framework, which enables the simplification of bond-graph plant models using domain-knowledge-based replacement of complex model components for further verification overhead reductions, and (d) a formal verification based on symbolic execution. We implemented the proposed methods and framework, and successfully applied the proposed verification process for safety verification of automotive brake control systems. The results of the study demonstrate that the verification detects a complex failure condition in a real-world brake control system from the generated system model and that the automated model transformations of the CPS models yield significant verification complexity reductions without impairing the ability to detect unsafe behavior. {\textcopyright} 2017 Information Processing Society of Japan.",
keywords = "Automotive cyber-physical systems, Bond-graph, Model transformation, Model-based development, Signal-flow graph, Symbolic execution",
author = "T. Ishigooka and H. Saissi and T. Piper and S. Winter and Neeraj Suri",
year = "2017",
month = aug,
day = "15",
doi = "10.2197/ipsjjip.25.797",
language = "English",
volume = "25",
pages = "797--810",
journal = "Journal of Information Processing Systems",
issn = "0387-5806",
publisher = "Korea Information Processing Society (KIPS)",

}

RIS

TY - JOUR

T1 - Safety verification utilizing model-based development for safety critical cyber-physical systems

AU - Ishigooka, T.

AU - Saissi, H.

AU - Piper, T.

AU - Winter, S.

AU - Suri, Neeraj

PY - 2017/8/15

Y1 - 2017/8/15

N2 - The application of cyber-physical systems (CPSs) in safety-critical application domain requires rigorous verification of their functional correctness and safety-relevant properties. We propose a practical verification process which enables to conduct safety verification of safety critical CPSs. The verification process consists of (a) a system model construction method, which generates a system model by combining software described in C and plant model code reused from model-based development, (b) a model transformation method, which transforms the plant models including differential algebraic equations (DAE) to approximate models without DAE to reduce verification complexity induced by DAE solver execution, (c) a model simplification framework, which enables the simplification of bond-graph plant models using domain-knowledge-based replacement of complex model components for further verification overhead reductions, and (d) a formal verification based on symbolic execution. We implemented the proposed methods and framework, and successfully applied the proposed verification process for safety verification of automotive brake control systems. The results of the study demonstrate that the verification detects a complex failure condition in a real-world brake control system from the generated system model and that the automated model transformations of the CPS models yield significant verification complexity reductions without impairing the ability to detect unsafe behavior. © 2017 Information Processing Society of Japan.

AB - The application of cyber-physical systems (CPSs) in safety-critical application domain requires rigorous verification of their functional correctness and safety-relevant properties. We propose a practical verification process which enables to conduct safety verification of safety critical CPSs. The verification process consists of (a) a system model construction method, which generates a system model by combining software described in C and plant model code reused from model-based development, (b) a model transformation method, which transforms the plant models including differential algebraic equations (DAE) to approximate models without DAE to reduce verification complexity induced by DAE solver execution, (c) a model simplification framework, which enables the simplification of bond-graph plant models using domain-knowledge-based replacement of complex model components for further verification overhead reductions, and (d) a formal verification based on symbolic execution. We implemented the proposed methods and framework, and successfully applied the proposed verification process for safety verification of automotive brake control systems. The results of the study demonstrate that the verification detects a complex failure condition in a real-world brake control system from the generated system model and that the automated model transformations of the CPS models yield significant verification complexity reductions without impairing the ability to detect unsafe behavior. © 2017 Information Processing Society of Japan.

KW - Automotive cyber-physical systems

KW - Bond-graph

KW - Model transformation

KW - Model-based development

KW - Signal-flow graph

KW - Symbolic execution

U2 - 10.2197/ipsjjip.25.797

DO - 10.2197/ipsjjip.25.797

M3 - Journal article

VL - 25

SP - 797

EP - 810

JO - Journal of Information Processing Systems

JF - Journal of Information Processing Systems

SN - 0387-5806

ER -