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Contribution for newspaper or weekly magazine . 2023
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XANDAR: Verification & Validation Approach for Safety-critical Systems

Authors: Sonigara, Balmukund; Sezer, Sakir; Siddiqui, Fahad; Weber, Raphael; Antonopoulos, Konstantinos; Panagiotou, Christos; Antonopoulos, Christos P.; +5 Authors

XANDAR: Verification & Validation Approach for Safety-critical Systems

Abstract

The integration of connected and autonomous technologies in safety-critical brought significant system design challenges. These systems are constantly evolving and becoming more complex. With their connection to the cloud and the internet, these safety-critical systems are now exposed to greater risks of cyber-attacks, which poses new challenges to their safety, reliability and resilience. To approach these complex system design challenges, this paper proposes XANDAR's Verification & Validation strategy using Static Analysis, Timing Analysis, Model-in-loop and Network simulation tool. To ensure functional correctness, the proposed XANDAR Verification and Validation approach utilizes early integration of simulation and static analysis techniques during the development cycle. This proposed approach differs from existing methods by emphasizing early integration, rather than applying it to later stages of development cycle to begin verification. In addition, the proposed approach utilizes timing analysis to ensure non-functional timing aspects meet the timing requirements. The approach applies tools such as Polyspace Bug Finder and Code Prover for static analysis, Timing Architect for timing analysis, NS3 simulator for network architecture simulation. The proposed approach aims to ensure system safety and security through a rigorous and comprehensive verification process. These verification approaches will be validated by applying it to automotive and avionics use cases.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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