As we continue our research into the integration of safety and security engineering for mission-critical systems, we are investigating the following questions:
Near-term—What assumptions underlying technologies that support increasing levels of autonomy (i.e., machine learning [ML], artificial intelligence [AI]) can we describe using AADL?
Mid-term—How can models be used at runtime? What are the connections between static, design-time models and dynamic models used while a system is operating?
Long-term—To what extent can we use ML/AI to help develop models rather than the other way around?
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