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Formal Analysis of Hybrid-Dynamic Timing Behaviors in Cyber-Physical Systems
Ensuring correctness of timed behaviors in cyber-physical systems (CPS) ...
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Formal Verification of End-to-End Learning in Cyber-Physical Systems: Progress and Challenges
Autonomous systems – such as self-driving cars, autonomous drones, and a...
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Falsification of Cyber-Physical Systems with Robustness-Guided Black-Box Checking
For exhaustive formal verification, industrial-scale cyber-physical syst...
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Simulation Based Formal Verification of Cyber-Physical Systems
Cyber-Physical Systems (CPSs) have become an intrinsic part of the 21st ...
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Formal Verification of Cyber-Physical Systems using Theorem Proving (Invited Paper)
Due to major breakthroughs in software and engineering technologies, emb...
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Ordering Strict Partial Orders to Model Behavioral Refinement
Software is now ubiquitous and involved in complex interactions with the...
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Quantifying the Latency and Possible Throughput of External Interrupts on Cyber-Physical Systems
An important characteristic of cyber-physical systems is their capabilit...
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Self-Driving Vehicle Verification Towards a Benchmark
Industrial cyber-physical systems are hybrid systems with strict safety requirements. Despite not having a formal semantics, most of these systems are modeled using Stateflow/Simulink for mainly two reasons: (1) it is easier to model, test, and simulate using these tools, and (2) dynamics of these systems are not supported by most other tools. Furthermore, with the ever growing complexity of cyber-physical systems, grows the gap between what can be modeled using an automatic formal verification tool and models of industrial cyber-physical systems. In this paper, we present a simple formal model for self-deriving cars. While after some simplification, safety of this system has already been proven manually, to the best of our knowledge, no automatic formal verification tool supports its dynamics. We hope this serves as a challenge problem for formal verification tools targeting industrial applications.
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