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The former embedded system model describes embedded system behavior in terms of functionality, and the latter model specifies software behavior that is restricted by hardware resource constraints.
It increased the number of mutants that were generated in comparison with the manual generation of code, that only contains the essence of an embedded system model.
It uses a requirements definition model, and tracks all of the requirements to a embedded system model or code, ensuring that each specified requirement is tested.
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However, as there are no tools available to work directly on embedded system models, our alternative was to use the C code generated from the models.
In this scenario, platforms such as ScicosLab/Scicos [24] and Matlab/Simulink [44] are widely used to design and simulate embedded system models.
In this section, we model the embedded system with an energy model, a task model, and a resource model.
In this paper, we model an energy harvesting embedded system with an energy model, a task model, and a resource model and propose a dynamic task scheduling algorithm.
This paper presents our main contribution in this aim by considering embedded systems architectural modeling in AADL and functional modeling in Simulink; an original clock-based timing analysis and validation of the overall system is achieved via a formal polychronous/multi-clock model of computation.
In this paper, we model embedded system design and optimization, considering component redundancy and uncertainty in the component reliability estimates.
The profile is adopted to create an example model of embedded system requirement specification which is built with the profile.
Performance metrics are evaluated to model possible embedded system implementations.
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