Lessons Learned from Developing the MontiCore Language Workbench: Challenges of Modular Language Design

In software language engineering, composition and modular design are essential milestones to advance reuse in this domain. Although language engineering improves quality and development efficiency by incorporating reusable components and tooling, some disadvantages and limitations can inhibit sophisticated language development. Current research usually focuses on the conceptual advantages but neglects the often technical drawbacks resulting from the necessity for complex interactions for seamless integration. In this paper, we report on our experiences applying language composition with the language workbench MontiCore and elaborate on the conceptual and technical drawbacks of the intended compositional tooling. Using concise application examples, we demonstrate the challenges of a compositional parser, the complexity of the generated infrastructure, and how they scrape the limits of the underlying target programming languages and their compilers. This critical examination of the implications of modular language construction demonstrates the pitfalls of language composition in the large and should reveal potential for future research.

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Published
2025-06-12
DOI
https://doi.org/10.1145/3732771.3742717
Primary Topic
Model-Driven Software Engineering Techniques
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article
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0.00

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article

Lessons Learned from Developing the MontiCore Language Workbench: Challenges of Modular Language Design

Nico Jansen, Bernhard Rumpe⋆, Alex Lüpges
Model-Driven Software Engineering Techniques
article

Lessons Learned from Developing the MontiCore Language Workbench: Challenges of Modular Language Design

Nico Jansen, Bernhard Rumpe⋆, Alex Lüpges
article en

Abstract

In software language engineering, composition and modular design are essential milestones to advance reuse in this domain. Although language engineering improves quality and development efficiency by incorporating reusable components and tooling, some disadvantages and limitations can inhibit sophisticated language development. Current research usually focuses on the conceptual advantages but neglects the often technical drawbacks resulting from the necessity for complex interactions for seamless integration. In this paper, we report on our experiences applying language composition with the language workbench MontiCore and elaborate on the conceptual and technical drawbacks of the intended compositional tooling. Using concise application examples, we demonstrate the challenges of a compositional parser, the complexity of the generated infrastructure, and how they scrape the limits of the underlying target programming languages and their compilers. This critical examination of the implications of modular language construction demonstrates the pitfalls of language composition in the large and should reveal potential for future research.

Software (Germany) (DE), RWTH Aachen University (DE)
Bundesministerium für Bildung und Forschung
Quality Education
Openalex Percentile: Top 85%
Model-Driven Software Engineering Techniques
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Lessons Learned from Developing the MontiCore Language Workbench: Challenges of Modular Language Design — Nico Jansen, Bernhard Rumpe⋆, et al. · (2025) | TGRS Research Map | TGRS