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  4. Towards self-explainable cyber-physical systems
 
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Towards self-explainable cyber-physical systems

Publikationstyp
Conference Paper
Date Issued
2019-09
Sprache
English
Author(s)
Blumreiter, Mathias 
Greenyer, Joel  
Chiyah Garcia, Francisco Javier  
Klös, Verena  
Schwammberger, Maike  
Sommer, Christoph  
Vogelsang, Andreas  
Wortmann, Andreas  
Institut
Softwaresysteme E-16  
TORE-URI
http://hdl.handle.net/11420/4099
Start Page
543
End Page
548
Article Number
8904796
Citation
22nd ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems, MODELS 2019
Contribution to Conference
22nd ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems, MODELS 2019  
Publisher DOI
10.1109/MODELS-C.2019.00084
Scopus ID
2-s2.0-85075916138
Publisher
IEEE
ISBN
978-1-7281-5125-0
978-1-7281-5126-7
With the increasing complexity of Cyber-Physical Systems, their behavior and decisions become increasingly difficult to understand and comprehend for users and other stakeholders. Our vision is to build self-explainable systems that can, at run-time, answer questions about the system's past, current, and future behavior. As hitherto no design methodology or reference framework exists for building such systems, we propose the Monitor, Analyze, Build, Explain (MAB-EX) framework for building self-explainable systems that leverage requirements-and explainability models at run-time. The basic idea of MAB-EX is to first Monitor and Analyze a certain behavior of a system, then Build an explanation from explanation models and convey this EXplanation in a suitable way to a stakeholder. We also take into account that new explanations can be learned, by updating the explanation models, should new and yet un-explainable behavior be detected by the system.
Subjects
Cyber physical systems
Explainability
Self-adaptive systems
DDC Class
600: Technology
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