Towards Improving Validation, Verification, Crash Investigations, and Event Reconstruction of Flight-Critical Systems with Self-Forensics

Mokhov, Serguei A.

arXiv.org Artificial Intelligence 

In this paper we introduce a new concept for flight-critical integrated software and hardware systems to analyze themselves forensically as needed as well as keeping forensics data for further automated analysis in cases of reports of anomalies, failures, and crashes. We insist this should be a part of the protocol for each system, (even not only flight systems), but any large and/or critical self-managed system. This proposition is a rehash of the related work of the author during his PhD studies [1, 2] for the NASA spacecraft self-forensics concept as well as a work towards improving the safety and crash investigation of read vehicles with similar means. We review some of the related work that these ideas are built upon prior describing the requirements for self-forensics components. We describe the general requirements as well as limitations and advantages. This is a draft sketch.

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