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Safety-Critical Adaptation in Self-Adaptive Systems

arXiv 2210.00095 ↗First posted 30 Sep 2022cs.SE cs.AI cs.MAcited by 0

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Abstract (arXiv)

Modern systems are designed to operate in increasingly variable and uncertain environments. Not only are these environments complex, in the sense that they contain a tremendous number of variables, but they also change over time. Systems must be able to adjust their behaviour at run-time to manage these uncertainties. These self-adaptive systems have been studied extensively. This paper proposes a definition of a safety-critical self-adaptive system and then describes a taxonomy for classifying adaptations into different types based on their impact on the system's safety and the system's safety case. The taxonomy expresses criteria for classification and then describes specific criteria that the safety case for a self-adaptive system must satisfy, depending on the type of adaptations performed. Each type in the taxonomy is illustrated using the example of a safety-critical self-adaptive water heating system.

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 3 of its 31 references that are in the map. First posted on arXiv 30 Sep 2022.

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3 of 31 references.

References · 3

  1. 2017Engineering Trustworthy Self-Adaptive Software with Dynamic Assurance Casescited by 14
  2. 2021Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Reviewcited by 7
  3. 2020Positive Trust Balance for Self-Driving Car Deploymentcited by 3

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