Behavioral Modeling for Embedded Systems and Technologies: by Luís Gomes, João M. Fernandes, Luís Gomes, João M.

By Luís Gomes, João M. Fernandes, Luís Gomes, João M. Fernandes

The improvement of embedded structures deals a better measure of abstraction, the most important to tackling the starting to be complexity and utilization of model-driven ways.

Behavioral Modeling for Embedded platforms and applied sciences: functions for layout and Implementation offers an outline of cutting edge habit types at present used for constructing embedded platforms, accentuating graphical and visible notations. This dynamic compilation offers an authoritative reference assortment to the main major types of computation presently in use for embedded platforms layout.

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Org Papyrus, U. M. L. ). home page. (2008). Papyrus for MARTE. org/ Pender, T. (2004). UML bible. New York: Wiley publishing. Real-Time Innovation. (2007). Constellation framework. , & MüllerGlaser, K. D. (2004). GeneralStore-a CASEtool integration platform enabling model level coupling of heterogeneous designs for embedded electronic systems. In Proceedings of the IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS (pp. 225- 232). , Blaha, M. , & Premerlani, W.

2006). UML for ESL design–basic principles, tools, and applications. In Proceedings of the International Conference on Computer Aided Design, ICCAD (pp. 73-80). NoMagic. (2008). com OMG. Object Management Group. (1997). Unified modeling language specification, v. 0. org OMG. (2002). UML profile for schedulability, performance, and time. (OMG document no. ptc/02-03-02). org OMG. (2003). Model driven architecture. org/mda/ OMG. (2004). QoS&FT: UML profile for modeling quality of service and fault tolerance characteristics and mechanisms.

The profile definition especially focuses on performance and schedulability analysis, but it provides also a general analysis framework which intends to refine/ specialize any other kind of analysis. ; (iii) fostering the construction of models that may be used to make quantitative predictions regarding real-time and embedded features of systems taking into account both hardware and software characteristics. MARTE integrates concepts of time and behavior that are strongly coupled in the embedded domain.

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