Modernizing domain-specific languages with XMLText and IntellEdit

Neubauer, Patrick; Bill, Robert G.; Wimmer, Manuel

doi:10.1109/saner.2017.7884679

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…GrammarOptimizer is designed to modify grammars that Xtext generated out of meta-models. An alternative to this post-processing approach is to directly modify the Xtext grammar generator as, e.g., in XMLText (Neubauer et al, 2015(Neubauer et al, , 2017. However, we deliberately chose a post-processing approach, because the application of conventional regular expressions enables the transferability to other recent language development frameworks like Langium (TypeFox GmbH, 2022) or textX (Dejanović Furthermore, as the implementation of an Xtext grammar generator necessarily depends on many version-specific internal aspects of Xtext, the post-processing approach using regular expressions is considerably more maintainable.…”

Section: Post-processing Vs Changing Grammar Generationmentioning

confidence: 99%

Supporting Meta-Model-Based Language Evolution and Rapid Prototyping with Automated Grammar Optimization

Zhang

Holtmann

Hebig³

et al. 2023

Preprint

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Section: Post-processing Vs Changing Grammar Generationmentioning

confidence: 99%

Supporting Meta-Model-Based Language Evolution and Rapid Prototyping with Automated Grammar Optimization

Zhang

Holtmann

Hebig³

et al. 2023

Preprint

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“…For example, if one had a transformation from XSD to Ecore, and an assistant for Ecore (translating Ecore to Extremo's common data model), then an assistant for XSD can be built by first translating into Ecore and then invoking the Ecore assistant. This is the way we implemented the XsdAssistant (see Figure 4) [42,43,44].…”

Section: The Core Subsystemmentioning

confidence: 99%

Automated modelling assistance by integrating heterogeneous information sources

Mora-Segura

Lara

Neubauer

et al. 2018

Computer Languages, Systems & Structures

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Model-Driven Engineering (MDE) uses models as its main assets in the software development process. The structure of a model is described through a metamodel. Even though modelling and meta-modelling are recurrent activities in MDE and a vast amount of MDE tools exist nowadays, they are tasks typically performed in an unassisted way. Usually, these tools cannot extract useful knowledge available in heterogeneous information sources like XML, RDF, CSV or other models and meta-models. We propose an approach to provide modelling and meta-modelling assistance. The approach gathers heterogeneous information sources in various technological spaces, and represents them uniformly in a common data model. This enables their uniform querying, by means of an extensible mechanism, which can make use of services, e.g., for synonym search and word sense analysis. The query results can then be easily incorporated into the (meta-)model being built. The approach has been realized in the Extremo tool, developed as an Eclipse plugin. Extremo has been validated in the context of two domains-production systems and process modelling-taking into account a large and complex industrial standard for classification and product description. Further validation results indicate that the integration of Extremo in various modelling environments can be achieved with low effort, and that the tool is able to handle information from most existing technological spaces.

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