Ensuring the functional safety of hardware and software systems in an uncertain environment of use

A promising direction in ensuring the functional safety of subject-centric systems, which include information and computing systems, which are hardware and software systems, is the so-called “barrier thinking” (English - barrier thinking). The emergence of this scientific trend dates back to the late 80s and is associated with the name J. Reason. The starting point of the scientific direction is the recognition of the inevitability of latent defects in the control systems of a complex system. The focus of philosophy isthe development of multilayer, layered systems of protection against external aggressive influences, as well as manifestations of latent defects in control systems. The practical implementation techniques based on “barrier thinking” is reduced to eliminating the possibility of such a combination of latent defects at various levels of the control object (organizational, tactical, operational), at which the hazards are transformed into unwanted effects. One of the promising approaches to the formation of a systematic procedure for creating barriers is the approach known in foreign literature as the Anticipatory Failure Determination (AFD), and in the domestic one as “diversion analysis”. The approach called “diversion analysis” includes reactive and proactive approaches to ensuring the functional safety of subject-centric systems. This article analyzes the conceptual framework of AFD, the result of which is the conclusion that the methodological basis of AFD is system analysis. This justifies the possibility of adapting models and methods of system analysis to the problems of qualitative and quantitative research of systems within the framework of AFD. A description of a typical event analysis framework for AFD-1 is provided. An example of the use of this circuit in the failure analysis case of a software product is given. In conclusion, the restrictions on the scope of applicability of AFD as a methodological basis for ensuring the functional safety of hardware and software systems in the conditions of uncertainty in the environment of use are determined.

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