arXiv:2607.03135v1 Announce Type: cross Abstract: Maintaining consistency between architectural design and runtime-observed behavior is challenging in long-lived safety-critical firmware. This paper presents a runtime-informed methodology for detecting architectural drift in ISO 26262-compliant firmware. The approach collects hardware-assisted execution traces, abstracts them into message exchanges among firmware components, and compares the resulting runtime behavior with design-time sequence diagrams through a deterministic differencing step. The computed delta identifies discrepancies as co
The increasing complexity of safety-critical firmware and the need for robust verification in AI-driven systems are driving the development of advanced detection methodologies.
Ensuring the integrity and reliability of safety-critical firmware is paramount for preventing catastrophic failures in systems incorporating AI, impacting regulation and product liability.
The ability to automatically detect architectural drift at runtime provides a new layer of assurance, potentially reducing manual verification efforts and improving system safety over its lifecycle.
- · Safety-critical software developers
- · Automotive industry
- · Aerospace industry
- · Certification bodies
- · Companies with weak firmware development processes
- · Legacy verification methods
Improved reliability and safety of embedded systems, particularly those with AI components.
Potential for reduced recalls and liability issues for manufacturers of safety-critical products.
Accelerated adoption of AI in highly regulated industries due to enhanced trust in system integrity.
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Read at arXiv cs.AI