by Edvin Herac, Luciano Marchezan, Wesley K. G. Assunção, Rainer Haas, Alexander Egyed
Abstract:
Current engineering practices to create complex systems rely on highly interdisciplinary teams, potentially globally distributed, working with heterogeneous artifacts. For instance, in a robotics project, collaboration from multiple engineers across different domains such as mechanical, electronic, and software is required. However, achieving proper collaboration to correctly and efficiently develop complex systems is not a trivial activity. The artifacts developed in each domain, usually represented as models, use different structures (e.g., metamodels) and are managed in different tools, but somehow related to each other.
Reference:
A flexible operation-based infrastructure for collaborative model-driven engineering (Edvin Herac, Luciano Marchezan, Wesley K. G. Assunção, Rainer Haas, Alexander Egyed), (Judith Michael, Mathias Weske, eds.), Gesellschaft für Informatik e.V., volume P-348, 2024.
Bibtex Entry:
@InProceedings{Herac2024,
author = {Edvin Herac and Luciano Marchezan and Wesley K. G. Assunção and Rainer Haas and Alexander Egyed},
booktitle = {Modellierung 2024, Potsdam, Germany, March 12-15, 2024},
title = {A flexible operation-based infrastructure for collaborative model-driven engineering},
year = {2024},
editor = {Judith Michael and Mathias Weske},
pages = {213--214},
publisher = {Gesellschaft f{\"{u}}r Informatik e.V.},
series = {{LNI}},
volume = {{P-348}},
abstract = {Current engineering practices to create complex systems rely on highly interdisciplinary teams, potentially globally distributed, working with heterogeneous artifacts. For instance, in a robotics project, collaboration from multiple engineers across different domains such as mechanical, electronic, and software is required. However, achieving proper collaboration to correctly and efficiently develop complex systems is not a trivial activity. The artifacts developed in each domain, usually represented as models, use different structures (e.g., metamodels) and are managed in different tools, but somehow related to each other.},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/modellierung/HeracMAHE24.bib},
doi = {10.18420/MODELLIERUNG2024\_020},
timestamp = {Wed, 26 Jun 2024 15:06:53 +0200},
url = {https://doi.org/10.18420/modellierung2024\_020},
}