# Safety-Critical Adaptation in Self-Adaptive Systems

arXiv: https://arxiv.org/abs/2210.00095 · HTML: https://mlsanity.com/paper/2210.00095/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 31 references that are in the map.
- First posted on arXiv 30 Sep 2022.

## Builds on (most cited first, 3 of 3)

- [Engineering Trustworthy Self-Adaptive Software with Dynamic Assurance Cases](https://mlsanity.com/paper/1703.06350/) (2017)
- [Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review](https://mlsanity.com/paper/2103.04112/) (2021)
- [Positive Trust Balance for Self-Driving Car Deployment](https://mlsanity.com/paper/2009.05801/) (2020)

## 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.