Dependability Modeling of Cyber-Physical Systems in the Gamma Framework
| Szabó, Richárd | ||
| Vörös, András | ||
| 2022-03-09T10:07:54Z | ||
| 2022-03-09T10:07:54Z | ||
| 2022 | ||
AbstractCyber-physical systems (CPS) can be found everywhere: smart homes, autonomous vehicles, aircrafts, healthcare, agriculture, and industrial production lines. CPSs are often critical, as system failure can cause serious damage to property and human lives. Today's cyber-physical systems are extremely complex, heterogeneous systems, so rigorous engineering approaches are needed both at design and runtime. On one hand, model-based techniques support the efficient system design, and on the other hand, fault-tolerant middleware and communication technologies support the reliable operation of critical CPS. However, modeling dependability-related system aspects is far from trivial. In this paper, our goal is to show a methodology that introduces design patterns for dependability modeling in the Gamma modeling framework to take a step towards the efficient design of dependable CPSs. | ||
| http://hdl.handle.net/10890/16859 | ||
| en | ||
| Dependability Modeling of Cyber-Physical Systems in the Gamma Framework | ||
| könyvfejezet | ||
| Open Access | ||
| Budapest University of Technology and Economics, Department of Measurement and Information Systems | ||
| 2022.02.07-2022.02.08. | ||
| Budapest, Hungary | ||
| 29th Minisymposium of the Department of Measurement and Information Systems | ||
| 2022 | ||
| 978-963-421-872-2 | ||
| Budapest University of Technology and Economics | ||
| Budapest, Hungary | ||
| Proceedings of the 29th Minisymposium | ||
| Department of Measurement and Information Systems | ||
| Kiadói változat | ||
| Faculty of Electrical Engineering and Informatics | ||
| 17 | ||
| 10.3311/MINISY2022-005 | ||
| 20 | ||
| model-based development | ||
| cyber-physical system | ||
| CPS | ||
| formal analysis | ||
| dependability | ||
| Konferenciacikk | ||
| Budapest University of Technology and Economics |
Files
Original bundle
- Name:
- MINISY2022-005.pdf
- Size:
- 200.81 KB
- Format:
- Adobe Portable Document Format
- Description:
- 29Minisy_proceedings_005.pdf