Modeling of embedded software on MDA platform models

This study proposes the use of abstract software models in order to meet the diversity of embedded platforms. A UML 2.0 Profile for Modeling Application and Platform of Embedded Software (called PROAPES) is proposed. Such profile is intended to generically describe the services provided by a system platform that makes use of an RTOS. In addition, this study presents a Model Transformation (MT) based on the PROAPES profile, named MT-PROAPES. In this way, MT-PROAPES uses a Platform Model (PM), created on the basis of the proposed profile (PROAPES), and performs a transformation named Platform Independent Model (PIM)-behavior into Platform Specific Model (PSM)-behavior. Thus, the generation of reusable model transformations that are adaptable to different platform models is possibleFacultad de Informátic

Chapter SW Annotation Techniques and RTOS Modelling for Native Simulation of Heterogeneous Embedded Systems

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RTOS-aware refinement for TLM2.0-based HW/SW designs

Refinement of untimed TLM models into a timed HW/SW platform is a step by step design process which is a trade-off between timing accuracy of the used models and correct estimation of the final timing performance. The use of an RTOS on the target platform is mandatory in the case real-time properties must be guaranteed. Thus, the question is when the RTOS must be introduced in this step by step refinement process. This paper proposes a four-level RTOS-aware refinement methodology that, starting from an untimed TLMSystemC description of the whole system, progressively introduce HW/SW partitioning, timing, device driver and RTOS functionalities, till to obtain an accurate model of the final platform, where SW tasks run upon an RTOS hosted by QEMU and HW components are modeled by cycle accurate TLM descriptions. Each refinement level allows the designer to estimate more and more accurate timing properties, thus anticipating design decisions without being constrained to leave timing analysis to the final step of the refinement. The effectiveness of the methodology has been evaluated in the design of two complex platforms