Model-Based Engineering of Embedded Systems

Focus:

Development of methods and tools for model-based engineering of embedded systems. Including: models for architectural and behavioral descriptions of system and requirements for systems, techniques for analyzing and transforming models, and runtime architectures for resource efficient, predictable embedded systems.



Here you find some of the achievements of MEES group and code of our implementations.

  • Hierarchical scheduling framework implementation in FreeRTOS operating system can be downloaded from this link.
  • Rafia is the author/developer of the Multi-Resource server  that provides composable hierarchical scheduling on multi-core platforms. We extend traditional server-resources by associating a memory-bandwidth to each server; thus a multi-resource server has both CPU-bandwidth and memory bandwidth allocated to it. The multi-resource servers are useful to provide partitioning, composability and predictability in both hard and soft real-time systems.
Project TitleStatus
DeepMaker: Deep Learning Accelerator on Commercial Programmable Devices active
DPAC - Dependable Platforms for Autonomous systems and Control active
FAST-ARTS: Fast and Sustainable Analysis Techniques for Advanced Real-Time Systems active
HERO: Heterogeneous systems - software-hardware integration active
ITS-EASY Post Graduate School for Embedded Software and Systems active
MOMENTUM: analysis of models towards compilation to predictable embedded real-time and safety-critical applications active
Serendipity - Secure and dependable platforms for autonomy active
SynthSoft - Synthesizing Predictable Software for Distributed Embedded Systems active
Timing Predictions of Complex Embedded Systems active
CARTCOM - Monitoring and Probabilistic Analysis of Component-Based Embedded Control Systems finished
CHESS finished
EEMDEF finished
Femmva - Functional- and execution-models in modern electronic vehicle architectures finished
HEAVE finished
MultEx finished
Multi-Aspectual Data Management of Embedded Real-Time Systems finished
PPMsched - Performance Preserving Multicore Scheduling finished
RALF3 - Software for Embedded High Performance Architectures finished
Real-time Heterogeneous Systems finished
SMARTCore: Model-driven support for deployment optimization of embedded systems on multicore finished
Strategic Knowledge Enhancement: International Visiting Professor, Alfonso Pierantonio finished
DESTINE: Developing Predictable Vehicle Software Utilizing Time Sensitive Networking on-hold

[Show all publications]

Power-aware Allocation of Fault-tolerant Multi-rate AUTOSAR Applications (Dec 2018)
Nesredin Mahmud, Guillermo Rodriguez-Navas, Hamid Reza Faragardi, Saad Mubeen, Cristina Seceleanu
25th Asia-Pacific Software Engineering Conference (APSEC'18)

Towards a Body of Knowledge for Model-Based Software Engineering (Oct 2018)
Federico Ciccozzi, Michalis Famelis , Gerti Kappel , Leen Lambers , Sebastien Mosser , Richard F. Paige , Alfonso Pierantonio, Arend Rensink , Rick Salay , Gabriele Taentzer , Antonio Vallecillo , Manuel Wimmer
Educators Symposium 2018 (EduSymp18)

A Model-Driven Solution to support Smart Mobility Planning (Oct 2018)
Antonio Bucchiarone , Antonio Cicchetti
ACM/IEEE 21st International Conference on Model Driven Engineering Languages and Systems (MODELS)

Towards an Adaptive City Journey Planner with MDE (Oct 2018)
Antonio Bucchiarone , Antonio Cicchetti
ACM/IEEE 21st International Conference on Model Driven Engineering Languages and Systems (MODELS)

How do we teach Modelling and Model-Driven Engineering? A survey (Oct 2018)
Alfonso Pierantonio, Federico Ciccozzi, Michalis Famelis , Gerti Kappel , Sebastien Mosser , Richard F. Paige , Arend Rensink , Rick Salay , Gabriele Taentzer , Antonio Vallecillo , Manuel Wimmer
Educators Symposium 2018 (EduSymp18)

Static Flow Analysis of the Action Language for Foundational UML (Oct 2018)
Jean Malm, Federico Ciccozzi, Jan Gustafsson, Björn Lisper, Jonas Skoog
International Conference on Emerging Technologies and Factory Automation (ETFA'18)

Mikael Sjödin, Professor,Research Leader

Email: mikael.sjodin@mdh.se
Room: U3-072
Phone: +46 70 288 2829