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Towards safety-awareness and dynamic safety management

: Trapp, Mario; Weiß, Gereon; Schneider, Daniel

Postprint urn:nbn:de:0011-n-5185179 (233 KByte PDF)
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Erstellt am: 15.11.2018

Institute of Electrical and Electronics Engineers -IEEE-:
14th European Dependable Computing Conference, EDCC 2018 : Iaşi, Romania, 10-14 September 2018
Piscataway, NJ: IEEE, 2018
ISBN: 978-1-5386-8060-5
ISBN: 978-1-5386-8061-2
European Dependable Computing Conference (EDCC) <14, 2018, Iasi>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer ESK ( IKS) ()
Fraunhofer IESE ()
safety; system of systems; autonomous system; runtime; monitoring; uncertainty

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.