Advances in Automotive System Modeling: EAST-ADL (Part 2): Page 6 of 7

May 24, 2013 //By DeJiu Chen, KTH; Lei Feng, Volvo; Henrik Lönn, Volvo; Juha-Pekka Tolvanen, MetaCase
Advances in Automotive System Modeling: EAST-ADL (Part 2)
For decades developers of automotive embedded systems have enjoyed the benefits of modeling. Models have not only served communication and gaining better understanding but are also used to prototype, analyze, simulate and test the developed systems. With dedicated generators it has also been possible to produce production-quality software code from the models. Typical cases of code generation are various control-engineering solutions and infotainment systems with HMI’s.
from EAST-ADL to UPPAAL, Matlab/Simulink and Modelica.

EAST-ADL provides an opportunity to use a common ontology and exchange format in the industry. It is aligned with AUTOSAR and COTS tools for behavioural modelling. The language is modular and extensible for new modelling needs. With a common language, progress on tools, methods and collaboration practice will be more effective.

The challenge now is to form a critical mass, where a sufficient set of tools are available, allowing a sufficient set of users to apply the EAST-ADL. We have seen it happen with AUTOSAR tooling and platform. With ISO26262, new driveline technology, increasing complexity of embedded systems, the same collaborative approach is needed for the early phases of development, and for the addressing of requirements, dependability and other non-functional aspects.

Further reading

Automotive architecture language EAST-ADL, https://www.east-adl.info/

Automotive architecture language EAST-ADL, https://www.east-adl.info/

AUTOSAR, https://www.autosar.org

Matlab Simulink, https://www.matworks.com

MetaEdit+, https://www.metacase.com/solution/automotive_transport.html

Modelica, https://www.modelica.org

SPIN, https://spinroot.com

UPPAAL, https://www.uppaal.com

About the authors

DeJiu Chen received his PhD degree in Mechanical Engineering with a research on embedded computer control systems from KTH. His research interests are on systems and software architecture, model-based engineering, dependability and self-adaptive embedded systems. He has been actively involved in several research projects, including NFCCPP, ATESST, DySCAS, ATESST2, and MAENAD. From 2007 to 2009, Dr. DeJiu Chen also worked for Enea Data AB, Sweden, as a senior technical instructor. He is currently an associate professor at KTH.

Lei Feng is currently an assistant professor at the Department of Machine Design, KTH Royal Institute of Technology, Sweden. He received his Ph.D. degree from the Department of Electrical and Computer Engineering, University of Toronto, Canada, and Master’s and Bachelor’s degrees from the Department of Mechatronics, Xi’an Jiaotong University, China. His research interests include formal verification using model checking, supervisory control theory, discrete-event systems, and advanced control applications in automotive engineering. From 2009 to 2011, he was a research engineer at Volvo Technology AB in Gothenburg,

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