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| 001 | 845401 | ||
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| 020 | _ | _ | |a 3-8440-8345-6 |
| 020 | _ | _ | |a 978-3-8440-8345-3 |
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| 024 | 7 | _ | |2 datacite_doi |a 10.18154/RWTH-2022-04609 |
| 037 | _ | _ | |a RWTH-2022-04609 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 004 |
| 100 | 1 | _ | |0 P:(DE-82)IDM00331 |a Wortmann, Andreas |b 0 |u rwth |
| 245 | _ | _ | |a Model-driven architecture and behavior of cyber-physical systems |c Andreas Wortmann, RWTH Aachen University |h online, print |
| 260 | _ | _ | |a Düren |b Shaker |c 2021 |
| 260 | _ | _ | |c 2023 |
| 300 | _ | _ | |a IX, 358 Seiten : 16 Illustrationen |
| 336 | 7 | _ | |0 2 |2 EndNote |a Thesis |
| 336 | 7 | _ | |0 PUB:(DE-HGF)13 |2 PUB:(DE-HGF) |a Habil / Postdoctoral Thesis (Non-german Habil) |b habil |m habil |
| 336 | 7 | _ | |0 PUB:(DE-HGF)3 |2 PUB:(DE-HGF) |a Book |m book |
| 336 | 7 | _ | |2 BibTeX |a PHDTHESIS |
| 336 | 7 | _ | |2 DRIVER |a doctoralThesis |
| 336 | 7 | _ | |2 DataCite |a Output Types/Book |
| 336 | 7 | _ | |2 ORCID |a BOOK |
| 490 | 0 | _ | |a Aachener Informatik-Berichte Software Engineering |v 50 |
| 500 | _ | _ | |a Zweitveröffentlicht auf dem Publikationsserver der RWTH Aachen University 2023 |
| 502 | _ | _ | |a Habilitationsschrift, RWTH Aachen University, 2021, Kumulative Habilitationsschrift |b Habilitationsschrift |c RWTH Aachen University |d 2021 |g Fak01 |o 2021-10-21 |
| 520 | 3 | _ | |l ger |
| 520 | _ | _ | |a Systems engineering has produced striking results in many domains. Researchers andpractitioners have devised concepts, methods, tools that autonomously move vehicles,enable doctors to conduct remote surgeries across continents, and sent astronauts intospace. All of these cyber-physical systems are driven by software whose complexity in-creases tremendously. Overcompensating this growth in software and systems complexitydemands novel methods that increase the abstraction in systems engineering, advanceautomation, and facilitate the integration of domain expert solutions. Model-based sys-tems engineering aims to address this complexity by advancing systems engineering fromits contemporary document-based processes to sophisticated model-based processes. Inthe latter, abstract models serve as means for systems design, communication, documen-tation, and basis for implementation. But to overcompensate the growth in complexity,using models as secondary artifacts is insufficient. Comprehensive research in softwareengineering has led to recognizing that model-driven processes, in which models are theprimary engineering artifacts, can significantly improve abstraction, automation, anddomain-specific modeling to address the increasing complexity in systems engineering.Yet, model-based systems engineering focuses on informal models that are hardly acces-sible to meaningful automation and overly generic.This thesis summarizes 13 selected publications of a research program towards a model-driven systems engineering that operates on domain-specific modeling languages, sup-ports sophisticated modeling methods, and enables the systematic operation of cyber-physical systems. The results of this research program cover four substantial challengestowards the model-driven engineering of cyber-physical systems: First, it contributesto understanding the use of models and modeling languages for cyber-physical systemsthrough a comprehensive literature study on modeling for cyber-physical systems inIndustry 4.0. The study surveyed over 4.000 publications and produced insights intorequirements for the efficient model-driven engineering and operations of cyber-physicalsystems in Industry 4.0. Second, it conduces novel foundations for the efficient engineer-ing of domain-specific modeling languages based on the requirements identified in theliterature study. These foundations introduce innovative notions of language componentsand their composition upon which families of domain-specific modeling languages canbe created systematically efficiently. Third, it leverages these foundations to producemodeling languages to describe functional architectures and geometric-physical architec-tures of cyber-physical systems that support unprecedented automated modeling meth-ods, including tracing, decomposition, and semantic differencing, to facilitate modeling,maintaining, and evolving these architectures. Fourth, it exploits the novel languageengineering foundations and the unprecedented automated modeling methods to allevi-ate the systematic operation of cyber-physical systems with digital twins that representand optimize the observed systems. Hence, this research program forges a bridge fromobservations on modeling cyber-physical systems, over software language engineeringand modeling methods, to their operation that supports researchers and practitioners toadvance from the contemporary document-based engineering of cyber-physical systemsto their systematic model-driven engineering. |l eng |
| 588 | _ | _ | |a Dataset connected to Lobid/HBZ |
| 591 | _ | _ | |a Germany |
| 653 | _ | 7 | |a Cyber-Physical Systems |
| 653 | _ | 7 | |a Digital Twins |
| 653 | _ | 7 | |a Formal Software Architectures |
| 653 | _ | 7 | |a Model-Driven Engineering |
| 653 | _ | 7 | |a Software Language Engineering |
| 700 | 1 | _ | |0 P:(DE-82)IDM00045 |a Rumpe, Bernhard |b 1 |e Thesis advisor |u rwth |
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| 787 | 0 | _ | |0 RWTH-2020-11021 |i RelatedTo |
| 787 | 0 | _ | |0 RWTH-2020-11742 |i RelatedTo |
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