Details
| Original language | English |
|---|---|
| Title of host publication | 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019 |
| Subtitle of host publication | Proceedings |
| Editors | Loli Burgueno, Loli Burgueno, Alexander Pretschner, Sebastian Voss, Michel Chaudron, Jorg Kienzle, Markus Volter, Sebastien Gerard, Mansooreh Zahedi, Erwan Bousse, Arend Rensink, Fiona Polack, Gregor Engels, Gerti Kappel |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 543-548 |
| Number of pages | 6 |
| ISBN (electronic) | 978-1-7281-5125-0 |
| ISBN (print) | 978-1-7281-5126-7 |
| Publication status | Published - Sept 2019 |
| Event | 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019 - Munich, Germany Duration: 15 Sept 2019 → 20 Sept 2019 |
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.
Keywords
- Cyber physical systems, Explainability, Self-adaptive systems
ASJC Scopus subject areas
- Engineering(all)
- Automotive Engineering
- Mathematics(all)
- Modelling and Simulation
- Computer Science(all)
- Software
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019: Proceedings. ed. / Loli Burgueno; Loli Burgueno; Alexander Pretschner; Sebastian Voss; Michel Chaudron; Jorg Kienzle; Markus Volter; Sebastien Gerard; Mansooreh Zahedi; Erwan Bousse; Arend Rensink; Fiona Polack; Gregor Engels; Gerti Kappel. Institute of Electrical and Electronics Engineers Inc., 2019. p. 543-548 8904796.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Towards self-explainable cyber-physical systems
AU - Blumreiter, Mathias
AU - Greenyer, Joel
AU - Chiyah Garcia, Francisco Javier
AU - Klos, Verena
AU - Schwammberger, Maike
AU - Sommer, Christoph
AU - Vogelsang, Andreas
AU - Wortmann, Andreas
PY - 2019/9
Y1 - 2019/9
N2 - 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.
AB - 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.
KW - Cyber physical systems
KW - Explainability
KW - Self-adaptive systems
UR - http://www.scopus.com/inward/record.url?scp=85075916138&partnerID=8YFLogxK
U2 - 10.1109/MODELS-C.2019.00084
DO - 10.1109/MODELS-C.2019.00084
M3 - Conference contribution
AN - SCOPUS:85075916138
SN - 978-1-7281-5126-7
SP - 543
EP - 548
BT - 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019
A2 - Burgueno, Loli
A2 - Burgueno, Loli
A2 - Pretschner, Alexander
A2 - Voss, Sebastian
A2 - Chaudron, Michel
A2 - Kienzle, Jorg
A2 - Volter, Markus
A2 - Gerard, Sebastien
A2 - Zahedi, Mansooreh
A2 - Bousse, Erwan
A2 - Rensink, Arend
A2 - Polack, Fiona
A2 - Engels, Gregor
A2 - Kappel, Gerti
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019
Y2 - 15 September 2019 through 20 September 2019
ER -