Publication: Model-Based Generation of Software Conf...
Master data
Title: | Model-Based Generation of Software Configurations in Mechatronic Systems |
Subtitle: | |
Abstract: | An essential part of the mechatronic system is the software, which is responsible to bring functionality into the system consisting of mechanical, electronic and electrical parts. The software must be tailored to the specific hardware to fulfill tasks (e.g. control, monitoring) according to the system requirements. In today‘s industrial practice, the design is mainly done manually. First the entire architecture is drawn using drawing tools. Based on this software developers derive the low-level specification using their low-level development environments. This is error prone and time-consuming due to the fact, that a large number of hardware parameters have to be taken in account and the informal specification does not allow to derive these parameters. To improve this we present here an approach where the overall architecture of the mechatronic system is described using a Domain-Specific Conceptual Modeling Language (DSML) using the example of Electric Vehicle Testbeds. Based on this model the low-level software configurations are generated rule-based. In this paper we present the concepts of the DSML, explain the transformation rules and show the functionality of the generator by introducing a practical example. |
Keywords: | Modeling; Metamodel; DSML; Software; Generator; Transformation; Configuration |
Publication type: | Article in Proceedings (Authorship) |
Publication date: | 05.05.2020 (Print) |
Published by: |
40 Years EMISA - Digital Ecosystems of the Future: Methodology, Techniques and Applications. Proc. 40th Conf. of the GI SIG EMISA
40 Years EMISA - Digital Ecosystems of the Future: Methodology, Techniques and Applications. Proc. 40th Conf. of the GI SIG EMISA
(2020)
(
Gesellschaft für Informatik e.V.;
H. Mayr, S. Rinderle-Ma, S. Strecker
)
H. Mayr, S. Rinderle-Ma, S. Strecker
|
Title of the series: | Lecture Notes in Informatics |
Volume number: | P-302 |
First publication: | Yes |
Page: | pp. 29 - 44 |
Versionen
Keine Version vorhanden |
Publication date: | 05.05.2020 |
ISBN: |
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ISSN: | 1617-5468 |
Homepage: | https://dl.gi.de/handle/20.500.12116/31845 |
Assignment
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Fakultät für Technische Wissenschaften
Institut für Artificial Intelligence und Cybersecurity
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AT - A-9020 Klagenfurt |
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Peer reviewed |
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Cooperations
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AVL List GmbH
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AT - 8010 Graz |
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