Towards self-explainable cyber-physical systems

verfasst von

Mathias Blumreiter, Joel Greenyer, Francisco Javier Chiyah Garcia, Verena Klos, Maike Schwammberger, Christoph Sommer, Andreas Vogelsang, Andreas Wortmann

Abstract

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.

Organisationseinheit(en)

Fachgebiet Software Engineering

Externe Organisation(en)

Technische Universität Hamburg (TUHH)
Heriot-Watt University
Technische Universität Berlin
Carl von Ossietzky Universität Oldenburg
Heinz Nixdorf Institut (HNI)
Universität Paderborn
Rheinisch-Westfälische Technische Hochschule Aachen (RWTH)

Typ

Aufsatz in Konferenzband

Seiten

543-548

Anzahl der Seiten

6

Publikationsdatum

09.2019

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Fahrzeugbau, Modellierung und Simulation, Software

Elektronische Version(en)

http://arxiv.org/pdf/1908.04698 (Zugang: Offen)
https://doi.org/10.1109/MODELS-C.2019.00084 (Zugang: Geschlossen)