Joachim Denil

Learn More
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 SearchBased 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)
With the advent of Software-Intensive and Cyber-Physical Systems, hybrid formalisms can be used to intuitively model the interactions of different models in different formalisms. Hybrid formalisms combine discrete (time/event) model constructs with continuous-time model constructs. These hybrid formalisms usually require a dedicated simulator. In this work(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)