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Strategies and Best Practices for MBSE Adoption in Embedded Systems Industry

Autor(en):
Amorim, Tiago [DBLP] ;
Vogelsang, Andreas [DBLP] ;
Pudlitz, Florian [DBLP] ;
Gersing, Peter [DBLP] ;
Philipps, Jan [DBLP]
Zusammenfassung
2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice [Context] Model-based Systems Engineering (MBSE) advocates the integrated use of models throughout all development phases of a system development life-cycle. It is also often suggested as a solution to cope with the challenges of engineering complex systems. However, MBSE adoption is no trivial task and companies, especially large ones, struggle to achieve it in a timely and effective way. [Goal] We aim to discover what are the best practices and strategies to implement MBSE in companies that develop embedded software systems. [Method] Using an inductive-deductive research approach, we conducted 14 semi-structured interviews with experts from 10 companies. Further, we analyzed the data and drew some conclusions which were validated by an on-line questionnaire in a triangulation fashion. [Results] Our findings are summarized in an empirically validated list of 18 best practices for MBSE adoption and through a prioritized list of the 5 most important best practices. [Conclusions] Raising engineers’ awareness regarding MBSE advantages and acquiring experience through small projects are considered the most important practices to increase the success of MBSE adoption.
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Amorim, T., Vogelsang, A., Pudlitz, F., Gersing, P. & Philipps, J., (2020). Strategies and Best Practices for MBSE Adoption in Embedded Systems Industry. In: Felderer, M., Hasselbring, W., Rabiser, R. & Jung, R. (Hrsg.), Software Engineering 2020. Bonn: Gesellschaft für Informatik e.V.. (S. 97--98). DOI: 10.18420/SE2020_28
@inproceedings{mci/Amorim2020,
author = {Amorim, Tiago AND Vogelsang, Andreas AND Pudlitz, Florian AND Gersing, Peter AND Philipps, Jan},
title = {Strategies and Best Practices for MBSE Adoption in Embedded Systems Industry},
booktitle = {Software Engineering 2020},
year = {2020},
editor = {Felderer, Michael AND Hasselbring, Wilhelm AND Rabiser, Rick AND Jung, Reiner} ,
pages = { 97--98 } ,
doi = { 10.18420/SE2020_28 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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Mehr Information

DOI: 10.18420/SE2020_28
ISBN: 978-3-88579-694-7
ISSN: 1617-5468
Datum: 2020
Sprache: en (en)
Typ: Text/Conference Paper

Keywords

  • Model-based Systems Engineering
  • Process adoption
  • Best Practices
  • Embedded systems
  • Empirical research
Sammlungen
  • P300 - Software Engineering 2020 [70]

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Über uns | FAQ | Hilfe | Impressum | Datenschutz

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