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  4. Towards safety-awareness and dynamic safety management
 
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2018
Konferenzbeitrag
Titel

Towards safety-awareness and dynamic safety management

Abstract
Future safety-critical systems will be highly automated or even autonomous and they will dynamically cooperate with other systems as part of a comprehensive ecosystem. This together with increasing utilization of artificial intelligence introduces uncertainties on different levels, which detriment the application of established safety engineering methods and standards. These uncertainties might be tackled by making systems safety-aware and enabling them to manage themselves accordingly. This paper introduces a corresponding conceptual dynamic safety management framework incorporating monitoring facilities and runtime safety-models to create safety-awareness. Based on this, planning and execution of safe system optimizations can be carried out by means of self-adaptation. We illustrate our approach by applying it for the dynamic safety assurance of a single car.
Author(s)
Trapp, Mario
Fraunhofer-Institut für Eingebettete Systeme und Kommunikationstechnik ESK
Weiß, Gereon
Fraunhofer-Institut für Eingebettete Systeme und Kommunikationstechnik ESK
Schneider, Daniel
Fraunhofer-Institut für Experimentelles Software Engineering IESE
Hauptwerk
14th European Dependable Computing Conference, EDCC 2018
Konferenz
European Dependable Computing Conference (EDCC) 2018
DOI
10.1109/EDCC.2018.00027
File(s)
N-518517.pdf (233.84 KB)
Language
Englisch
google-scholar
ESK
IESE
Tags
  • safety

  • system of systems

  • autonomous system

  • runtime

  • monitoring

  • uncertainty

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