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Embedded systems, with their tight technology integration, and multiple requirements and stakeholders, are characterized by tightly interrelated processes, information and tools. Embedded systems will as a consequence be described by multiple, heterogeneous and interrelated descriptions such as for example requirements documents, design and analysis models,(More)
With the advent of new and more complex software engineering problems and applications, synergies between Search-Based Software Engineering (SBSE) and Model-Driven Engineering (MDE) have been proposed. SBSE formulates the software engineering problem as a search-based optimization (SBO) problem. In Model-Driven Engineering, model transformation is the(More)
To manage the complex engineering information for real-time systems, the system under development may be modelled in a high-level architecture description language. This high-level information provides a basis for deployment space exploration as it can be used to generate a low-level implementation. During this deployment mapping many platform-dependent(More)
In recent years, many new concepts, methodologies, and tools have emerged, which have made Model Driven Engineering (MDE) more usable, precise and automated. We have earlier proposed a conceptual framework, FTG+PM, that acts as a guide for carrying out model transformations, and as a basis for unifying key MDE practices, namely multi-paradigm modelling,(More)
In the domain of heterogeneous model composition, semantic adaptation is the " glue " that is necessary to assemble heterogeneous models so that the resulting composed model has well-defined semantics. In this paper, we present an execution model for a semantic adaptation interface between heterogeneous models. We introduce a Domain-Specific Language (DSL)(More)
—During the design and deployment of increasingly complex distributed embedded systems, engineers are challenged by a plethora of design choices. This often results in infeasible or sub-optimal solutions. In industry and academia, general and domain-specific optimization techniques are developed to explore the tradeoffs within these design spaces, though(More)
Domain-specific modeling (DSM) is one major building block of model-driven engineering. By moving from the solution space to the problem space, systems are designed by domain experts. The benefits of DSM are not unique to the design of systems, the specification and verification of desired properties of the designed systems by the help of DSM seems the next(More)