Systematic Language Extension Mechanisms for the MontiArc Architecture Description Language

Butting, Arvid; Haber, Arne; Hermerschmidt, Lars; Kautz, Oliver; Rumpe, Bernhard; Wortmann, Andreas

doi:10.1007/978-3-319-61482-3_4

Cited by 19 publications

(8 citation statements)

References 17 publications

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“…MontiArc [16], [17] is an architecture description language for specifying reusable components within a software architecture and their connections through typed, directed ports. MontiArc comes with a Java code generator that generates Java classes conforming to the specified components, methods to access port values, and a mechanism to inject handwritten behavior specifications.…”

Section: Digital Twin Architecturementioning

confidence: 99%

“…Per default, arbitrary assignments are supported as solutions (ll. [15][16] and corresponding well-formedness checks are provided. Further, domain experts can also specify java code that performs a solution and call this code in the solution part.…”

Section: Case Base Languagementioning

confidence: 99%

“…The CSL features two kinds of metrics for local and global similarities (ll. [13][14][15][16][17] out of which the manual metric specifies that a handcrafted similarity analysis should be used. This demands implementing a specific Java interface of the CSL's runtime system, which is then invoked if the manual is used.…”

Section: Case Similarity Languagementioning

confidence: 99%

See 2 more Smart Citations

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: Digital Twin Architecturementioning

confidence: 99%

Section: Case Base Languagementioning

confidence: 99%

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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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“…Additionally, many approaches exist that aim to systematize identifying modules of a system, e.g., (Parnas 1972;Rogozov et al 2020). A need for a system to be modular is an aspect of a problem and has to be addressed by suitable modeling languages, such as e.g., Architecture Description Languages (ADLs) (Butting et al 2017;Medvidovic & Taylor 2000;Medvidovic et al 2007).…”

Section: Related Workmentioning

confidence: 99%

A Methodology for Retrofitting Generative Aspects in Existing Applications.

Drave¹,

Gerasimov²,

Michael³

et al. 2021

JOT

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“…/ domain-specific variants of an ADL is challenging [2]. To this effect, we applied the approach presented in this paper to derive domainspecific ADL variants from a domain-agnostic BaseADL.…”

Section: Extended Examplementioning

confidence: 99%

Controlled and Extensible Variability of Concrete and Abstract Syntax with Independent Language Features

Butting

Eikermann

Kautz

et al. 2018

Proceedings of the 12th International Workshop on Variability Modelling of Software-Intensive Systems

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ABSTRACT"Software languages are software too", hence their creation, evolution, and maintenance is subject to the same challenges. Managing multiple stand-alone variants of similar DSLs raises the related maintenance and evolution efforts for the languages and their associated tooling (analyses, transformations, editors, etc.) to a higher power. Software variability management techniques can help to harness this complexity. Research in software language variability focuses on metamodels and consequently mainly supports managing the variability of abstract syntaxes, omitting concrete syntax variability management. We present an approach to manage controlled syntactic variability of extensible software language product lines through identification of dedicated syntax variation points and specification of variants from independently developed features. This fosters software language reuse and reduces creation, maintenance, and evolution efforts. The approach is realized with the MontiCore language workbench and evaluated through a case study on architecture description languages. It facilitates creating, maintaining, and evolving the concrete and abstract syntax of families of languages and, hence, reduces the effort of software language engineering.

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Systematic Language Extension Mechanisms for the MontiArc Architecture Description Language

Cited by 19 publications

References 17 publications

Self-Adaptive Manufacturing with Digital Twins

Self-Adaptive Manufacturing with Digital Twins

A Methodology for Retrofitting Generative Aspects in Existing Applications.

Controlled and Extensible Variability of Concrete and Abstract Syntax with Independent Language Features

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