- Jun 24, 2020v5.13.0 Release Notes
- Jun 5, 2020Context Mapper for Visual Studio Code
- Jan 24, 2020Master Thesis Published
- Aug 30, 2019Service Decomposition as a Series of Architectural Refactorings
- Feb 4, 2019A Domain-specific Language for Service Decomposition
- Jan 14, 2019Model Transformations for DSL Processing
- Nov 26, 2018First Context Mapper version released!
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Model Transformations for DSL Processing
Jan 14, 2019 • Stefan Kapferer
With our next major Context Mapper release we will provide architectural refactorings (ARs) which allow the user/architect to evolve and improve the modeled architecture iteratively. As a “proof-of-concept” we implemented a model transformation with the Henshin transformation tool. The implementation of this first refactoring was part of a seminar (paper & presentation) at HSR.
Below you can find the links to the paper and the presentation.
Model transformation is a key concept in Model-driven Software Development (MDD) and refers to an automated process transforming one model into another model. Models can be seen as an abstraction of a system or any concept in the world. They can be represented in various ways, for example graphically, as text or even code. Thus, models are a powerful instrument which is used in all disciplines of software engineering. This paper gives an introduction into model transformation and its classifications. It provides an overview over existing transformation tools and presents Henshin as one particular approach based on algebraic graph transformation. It further summarizes the theory behind this graph transformation approach based on graph grammars. With an example application in the context of architectural refactorings and service decomposition, this paper demonstrates how model transformation can be applied to Domain-specific Language (DSL) processing. Finally, the Henshin concepts and its tools are evaluated based on the experience gained through the development of the presented examples.
Paper & Presentation