MDA-based approach for embedded software generation from a UML/MOF repository
SBCCI '06 Proceedings of the 19th annual symposium on Integrated circuits and systems design
Proceedings of the conference on Design, automation and test in Europe
Model driven engineering for MPSOC design space exploration
Proceedings of the 20th annual conference on Integrated circuits and systems design
The development of training course for embedded middleware design
ACM SIGBED Review
Proceedings of the 22nd Annual Symposium on Integrated Circuits and System Design: Chip on the Dunes
Design space abstraction and metamodeling for embedded systems design space exploration
Proceedings of the 7th International Workshop on Model-Based Methodologies for Pervasive and Embedded Software
A model-driven engineering framework for embedded systems design
Innovations in Systems and Software Engineering
Proceedings of the 27th Annual ACM Symposium on Applied Computing
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In order to quickly implement an embedded system that is mainly based on software, two orthogonal approaches have been proposed: Platform-based Design, which maximizes the reuse of components; and Model Driven Development, which rises the abstraction level by using object-oriented concepts and UML. However, with this increasing of the abstraction level, software engineers do not have an exact idea of the impact of their modeling decisions on important issues such as performance, energy, and memory footprint for a given platform. In our approach, analytical estimation of data and program memory, performance, and energy are obtained directly from UML models. Experimental results show a very small estimation error when software components are reused and their costs on the target platform are already known. Real-life applications are modeled in different ways and demonstrate the effectiveness of the estimates in an early design space exploration, allowing the designer to quickly compare different modeling solutions, with estimation errors as low as 5%.