Home > Research > Publications & Outputs > Safety verification utilizing model-based devel...

Links

Text available via DOI:

View graph of relations

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

Research output: Contribution to journalJournal article

Published
Close
<mark>Journal publication date</mark>15/08/2017
<mark>Journal</mark>Journal of Information Processing Systems
Volume25
Number of pages14
Pages (from-to)797-810
Publication StatusPublished
<mark>Original language</mark>English

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. © 2017 Information Processing Society of Japan.