Engineering tagging languages for DSLs

Greifenberg, Timo; Look, Markus; Roidl, Sebastian; Rumpe, Bernhard

doi:10.1109/models.2015.7338233

Cited by 14 publications

(12 citation statements)

References 26 publications

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“…A particular kind of languages available in the technological space of MontiCore are domain-specific tagging languages [15] that support extending models of a base language with additional information without polluting these. To this effect, their infrastructure (grammar, well-formedness rules) is derived from a base language to enable enriching models of that language with information, e.g., about platform-specific details of their use, without polluting them.…”

Section: Monticore Language Workbenchmentioning

confidence: 99%

Self-Adaptive Manufacturing with Digital Twins

Bolender

Bürvenich

Dalibor

et al. 2021

2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)

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Digital Twins are part of the vision of Industry 4.0 to represent, control, predict, and optimize the behavior of Cyber-Physical Production Systems (CPPSs). These CPPSs are long-living complex systems deployed to and configured for diverse environments. Due to specific deployment, configuration, wear and tear, or other environmental effects, their behavior might diverge from the intended behavior over time. Properly adapting the configuration of CPPSs then relies on the expertise of human operators. Digital Twins (DTs) that reify this expertise and learn from it to address unforeseen challenges can significantly facilitate self-adaptive manufacturing where experience is very specific and, hence, insufficient to employ deep learning techniques. We leverage the explicit modeling of domain expertise through case-based reasoning to improve the capabilities of Digital Twins for adapting to such situations. To this effect, we present a modeling framework for self-adaptive manufacturing that supports modeling domain-specific cases, describing rules for case similarity and case-based reasoning within a modular Digital Twin. Automatically configuring Digital Twins based on explicitly modeled domain expertise can improve manufacturing times, reduce wastage, and, ultimately, contribute to better sustainable manufacturing.

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Section: Monticore Language Workbenchmentioning

confidence: 99%

Self-Adaptive Manufacturing with Digital Twins

Bolender

Bürvenich

Dalibor

et al. 2021

2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)

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“…As a new form of decomposition of model information we have developed the concept of tagging languages in [GLRR15]. It allows to describe additional, e.g., technical information for model elements in extra documents and thus facilitates reuse of the original model in different contexts with individual tag sets, but also of tags on different models.…”

Section: Compositionality and Modularity Of Modelsmentioning

confidence: 99%

“…The input of the generator for such enterprise management systems can be expanded to allow the tagging of existing models [GLRR15], e.g., for the definition of roles and rights, as well as model-based testing [DGH + 18]. MontiGem builds on earlier versions.…”

Section: Figure 15 -Gui-components Generated Based On Modelsmentioning

confidence: 99%

Innovations in Model-based Software And Systems Engineering.

Hölldobler¹,

Michael²,

Ringert³

et al. 2019

JOT

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Engineering software and software intensive systems has become increasingly complex over the last decades. In the ongoing digitalization of all aspects of our lives in almost every domain, including, e.g., mechanical engineering, electrical engineering, medicine, entertainment, or jurisdiction, software is not only used to enable low-level controls of machines, but also to understand system conditions and optimizations potentials.To remain in control of all these heterogeneous systems of systems, a precise, but abstract understanding of these systems is necessary. To this end, models in their various forms are an important prerequisite to gain this understanding.In this article, we summarize research activities focusing on the development and use of models in software and systems engineering. This research has been carried out by the working group of Bernhard Rumpe, which started 25 years ago in Munich, continued in Braunschweig, and since 10 years carries on at RWTH Aachen University.

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“…Pointcuts are expressed either using annotations or programmatically, while advices can be express using general purpose languages or model management languages. Related to annotations, in [85] an approach to derive a language to specify types of tags for a given DSL is presented, focussing on the generation of a specific textual syntax. Our proposal is agnostic of the concrete syntax and if used with a multi-level framework, does not require a generation step.…”

Section: Aspect-oriented Programmingmentioning

confidence: 99%

Open meta-modelling frameworks via meta-object protocols

Cuadrado

Lara

2018

Journal of Systems and Software

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Meta-modelling is central to Model-Driven Engineering. Many meta-modelling notations, approaches and tools have been proposed along the years, which widely vary regarding their supported modelling features. However, current approaches tend to be closed and rigid with respect to the supported concepts and semantics. Moreover, extending the environment with features beyond those natively supported requires highly technical knowledge. This situation hampers flexibility and interoperability of meta-modelling environments. In order to alleviate this situation, we propose open meta-modelling frameworks, which can be extended and configured via meta-object protocols (MOPs). Such environments offer extension points on events like element instantiation, model loading or property access, and enable selecting particular model elements over which the extensions are to be executed. We show how MOP-based mechanisms permit extending meta-modelling frameworks in a flexible way, and allow describing a wide range of meta-modelling concepts. As a proof of concept, we show and compare an implementation in the MetaDepth tool and an aspectbased implementation atop the Eclipse Modelling Framework (EMF). We have evaluated our approach by extending EMF and MetaDepth with modelling services not foreseen initially when they were created. The evaluation shows that MOP-based mechanisms permit extending meta-modelling frameworks in a flexible way, and are powerful enough to support the specification of a broad variety of meta-modelling features.

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Engineering tagging languages for DSLs

Cited by 14 publications

References 26 publications

Self-Adaptive Manufacturing with Digital Twins

Self-Adaptive Manufacturing with Digital Twins

Innovations in Model-based Software And Systems Engineering.

Open meta-modelling frameworks via meta-object protocols

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