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Controlled Complexity for Future Mobility – Methodology, Guidelines and Tooling

Author:
Reuter, Christian [DBLP]
Abstract
The automotive industry is currently facing the most extensive changes since its invention. Connected, autonomous, shared and electric crystallize as game changers whereupon new key player arise with expertise therein. Internet of things principles bring the vehicles online and so the product life cycle shortens. Although new functionalities should be rolled out quickly. This contradictoriness needs new methodologies, guidelines and tooling. In this paper the current usage of combined textual and model-based requirement specification as well as variant management techniques at Daimler is presented in context to research outcomes. Furthermore upcoming challenges in the field of handling complexity were described to give an example for ongoing investigations.
  • Citation
  • BibTeX
Reuter, C., (2018). Controlled Complexity for Future Mobility – Methodology, Guidelines and Tooling. In: Schaefer, I., Karagiannis, D., Vogelsang, A., Méndez, D. & Seidl, C. (Hrsg.), Modellierung 2018. Bonn: Gesellschaft für Informatik e.V.. (S. 275-280).
@inproceedings{mci/Reuter2018,
author = {Reuter, Christian},
title = {Controlled Complexity for Future Mobility – Methodology, Guidelines and Tooling},
booktitle = {Modellierung 2018},
year = {2018},
editor = {Schaefer, Ina AND Karagiannis, Dimitris AND Vogelsang, Andreas AND Méndez, Daniel AND Seidl, Christoph} ,
pages = { 275-280 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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More Info

ISBN: 978-3-88579-674-9
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2018
Language: en (en)
Content Type: Text/Conference Paper

Keywords

  • Complexity
  • Variant Management
  • Systems Engineering
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  • P280 - Modellierung 2018 [29]

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Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.