Multi-Agent Optimization for Safety Analysis of Cyber-Physical Systems: Position Paper

Önder Gürcan (1) , Nataliya Yakymets (1) , Sara Tucci-Piergiovanni (1) , Ansgar Radermacher (1)

1 DILS - Département Ingénierie Logiciels et Systèmes

Failure Mode, Effects and Criticality Analysis (FMECA) is one of the safety analysis methods recommended by most of the international standards. The classical FMECA is made in a form of a table filled in either manually or by using safety analysis tools. In both cases, the design engineers have to choose the trade-offs between safety and other development constraints. In the case of complex cyber-physical systems (CPS) with thousands of specified constraints, this may lead to severe problems and significantly impact the overall criticality of CPS. In this paper, we propose to adopt optimization techniques to automate the decision making process conducted after FMECA of CPS. We describe a multi-agent based optimization method which extends classical FMECA for offering optimal solutions in terms of criticality and development constraints of CPS.

Keywords: safety analysis; self-adaptation; optimization; FMEA; FMECA

Domains: Computer Science [cs]; Artificial Intelligence [cs.AI]; Computer Science [cs]; Embedded Systems; Computer Science [cs]; Multiagent Systems [cs.MA]

Önder Gürcan, Nataliya Yakymets, Sara Tucci-Piergiovanni, Ansgar Radermacher. Multi-Agent Optimization for Safety Analysis of Cyber-Physical Systems: Position Paper. 2nd International Workshop on Emerging Ideas and Trends in Engineering of Cyber-Physical Systems, part of Cyber-Physical Systems Week, Apr 2015, Seattle, United States. ⟨cea-01807015⟩