Model-driven Engineering Tool Comparison for Architectures within Heterogenic Systems for Electric Vehicle

Sebastian Apel, Sebastian Apel, Marianne Mauch, Marianne Mauch, Volkmar Schau, Volkmar Schau

Abstract

System landscapes within logistical scenarios is highly heterogenic. Adding specific mechanisms, e.g. to support planing, monitoring and analyses for fully electrical powered vehicles, could become a mess or at least a challenge. While our project Smart City Logistic (SCL) is trying to manage this extension for multiple logistic scenarios, other projects want to do comparable system extensions as well. The following approach tries to evaluate how model-driven engineering (MDE) combined with generative frameworks can support the transfer from platform independent models to deployable solutions within the logistical domain. This paper compares specific MDE tools which can be used to support such a framework.

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Paper Citation


in Harvard Style

Apel S., Mauch M. and Schau V. (2016). Model-driven Engineering Tool Comparison for Architectures within Heterogenic Systems for Electric Vehicle . In Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-168-7, pages 671-676. DOI: 10.5220/0005803806710676


in Bibtex Style

@conference{modelsward16,
author={Sebastian Apel and Marianne Mauch and Volkmar Schau},
title={Model-driven Engineering Tool Comparison for Architectures within Heterogenic Systems for Electric Vehicle},
booktitle={Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2016},
pages={671-676},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005803806710676},
isbn={978-989-758-168-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Model-driven Engineering Tool Comparison for Architectures within Heterogenic Systems for Electric Vehicle
SN - 978-989-758-168-7
AU - Apel S.
AU - Mauch M.
AU - Schau V.
PY - 2016
SP - 671
EP - 676
DO - 10.5220/0005803806710676