Code Generator Composition for Model-Driven Engineering of Robotics Component & Connector Systems
This work addresses the need for efficient code generator integration in robotics software engineering, though it appears incremental as it builds on existing frameworks.
The paper tackles the challenge of integrating multiple modeling languages and code generators in model-driven engineering for robotics software, proposing a conceptual model for code generator composition and demonstrating its instantiation in the MontiArcAutomaton framework.
Engineering software for robotics applications requires multidomain and application-specific solutions. Model-driven engineering and modeling language integration provide means for developing specialized, yet reusable models of robotics software architectures. Code generators transform these platform independent models into executable code specific to robotic platforms. Generative software engineering for multidomain applications requires not only the integration of modeling languages but also the integration of validation mechanisms and code generators. In this paper we sketch a conceptual model for code generator composition and show an instantiation of this model in the MontiArc- Automaton framework. MontiArcAutomaton allows modeling software architectures as component and connector models with different component behavior modeling languages. Effective means for code generator integration are a necessity for the post hoc integration of applicationspecific languages in model-based robotics software engineering.