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  4. Self-Explanation in Systems of Systems
 
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Self-Explanation in Systems of Systems

Publikationstyp
Conference Paper
Date Issued
2022-08
Sprache
English
Author(s)
Fey, Görschwin  orcid-logo
Fränzle, Martin  
Drechsler, Rolf  
Institut
Eingebettete Systeme E-13  
TORE-URI
http://hdl.handle.net/11420/14267
Start Page
85
End Page
91
Citation
30th IEEE International Requirements Engineering Conference Workshops (REW 2022)
Contribution to Conference
30th IEEE International Requirements Engineering Conference Workshops, REW 2022  
Publisher DOI
10.1109/REW56159.2022.00023
Scopus ID
2-s2.0-85139162296
Technical systems have reached a complexity rendering their behaviour difficult to comprehend or seemingly non-deterministic. Thus, self-explaining digital systems would be a strong support for tasks like debugging, diagnosis of failures, reliably operating the system or optimization. To be useful, self-explanation must be efficiently computable in a technical system and must be understandable to the addressee. The addressee might be another technical system at the same or another system layer or a human.We provide a conceptual framework for self-explanation including formalization of the inherent concepts of explanation, understandability etc. We instantiate these generic concepts on the example of Mealy machine models of embedded systems and illustrate their use via example from autonomous driving.
Subjects
System Design Cyber Physical Systems Explanation Finite State Machines Systems of Systems
Funding(s)
Methodik, Algorithmen und Umgebung zum Verstehen von Hardware-Beschreibungen  
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