Applying software product line techniques in model-based embedded systems engineering
MOMPES '09 Proceedings of the 2009 ICSE Workshop on Model-Based Methodologies for Pervasive and Embedded Software
Semantic Translation of Simulink/Stateflow Models to Hybrid Automata Using Graph Transformations
Electronic Notes in Theoretical Computer Science (ENTCS)
Proceedings of the ACM SIGPLAN/SIGBED 2010 conference on Languages, compilers, and tools for embedded systems
MOFLON: a standard-compliant metamodeling framework with graph transformations
ECMDA-FA'06 Proceedings of the Second European conference on Model Driven Architecture: foundations and Applications
Using higher-order transformations to derive variability mechanism for embedded systems
MODELS'09 Proceedings of the 2009 international conference on Models in Software Engineering
Variability management in the AUTOSAR-based development of applications for in-vehicle systems
Proceedings of the 5th Workshop on Variability Modeling of Software-Intensive Systems
Proceedings of the 5th Workshop on Variability Modeling of Software-Intensive Systems
Managing complexity and variability of a model-based embedded software product line
Innovations in Systems and Software Engineering
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When applying model-based techniques to the engineering of embedded application software, a typical challenge is the complexity of dependencies between application elements. In many situations, e.g., during rollout of products or in the evolution of product lines, the understanding of these dependencies is a key capability. In this paper, we discuss how model-based techniques, in particular, model transformations can help to reduce the complexity of such analysis tasks. To this end, we realised a representation of Simulink models based on the Eclipse Modeling Framework (EMF). The resulting integration allows us to apply various model-based frameworks from the Eclipse ecosystem. On this basis we developed a view that increases the visibility of functional dependencies, which otherwise would have been hidden due to a lack of abstraction in the native Simulink representation. The provided analysis framework comes in handy, when such a model has to be modified. Consequently, the developer is supported in reusing existing models and avoiding errors. The concepts and techniques are illustrated with a running example, which is derived from a real industry model from Automotive Software Engineering.