Code Generator Composition for Model-Driven Engineering of Robotics Component & Connector Systems

TL;DR

This paper presents a conceptual model for composing code generators in model-driven engineering of robotics software, demonstrating its application within the MontiArcAutomaton framework to facilitate integration of diverse modeling languages.

Contribution

It introduces a novel conceptual model for code generator composition tailored for robotics software engineering and exemplifies its implementation in MontiArcAutomaton.

Findings

The model enables effective integration of multiple modeling languages.

MontiArcAutomaton supports component and connector architecture modeling.

The approach facilitates post hoc integration of application-specific languages.

Abstract

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.