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Modeling Languages for Digital Twins - A Survey Among the German Automotive Industry

Pfeiffer, Jérome; Fuchß, Dominik ORCID iD icon 1; Kühn, Thomas 1; Liebhart, Robin; Neumann, Dirk ORCID iD icon 1; Neimöck, Christer; Seiler, Christian; Koziolek, Anne ORCID iD icon 1; Wortmann, Andreas
1 Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Karlsruher Institut für Technologie (KIT)

Abstract:

This repository contains the replication package for the paper _Modeling Languages for Digital Twins: A Survey Among the German Automotive Industry_ by Jérôme Pfeiffer, Dominik Fuchß, Thomas Kühn, Robin Liebhart, Dirk Neumann, Christer Neimöck, Christian Seiler, Anne Koziolek, and Andreas Wortmann. The paper has been submitted to the practice track of  [MODELS 2024](https://conf.researchr.org/track/models-2024/models-2024-technical-track#Practice-Track).

Data

This replication package contains all information from the survey:- `results.csv`: A csv version of all data exported from LimeSurvey (German). Personal information from the participants has been removed. This file can be imported to reproduce the extraction results described in our paper.- `survey_german.pdf`: The pdf version of the original survey in German.  - `survey_german.md`: A markdown version of the original survey in German. - `survey_english.md`: A markdown version of the survey translated into English. 

Selection of participants and distribution

With both versions, the survey can be executed again with a different target audience in English or German. In our case we wanted to reach as much participants from diverse work areas as possible, where we invited the participants by email via an internal mailing list of 189 members of the SofDCar project. ... mehr


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Originalveröffentlichung
DOI: 10.5281/zenodo.12529996
Zugehörige Institution(en) am KIT Institut für Informationssicherheit und Verlässlichkeit (KASTEL)
Publikationstyp Forschungsdaten
Publikationsjahr 2024
Identifikator KITopen-ID: 1000195790
Lizenz Creative Commons Namensnennung 4.0 International
Projektinformation SofDCar (BMWE, 19S21002K)
Art der Forschungsdaten Dataset
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