Model-Based DevOps: Foundations and Challenges - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2023

Model-Based DevOps: Foundations and Challenges

Résumé

Time-to-market and continuous improvement are key success indicators to deliver for Industry 4.0 Cyber-Physical Systems (CPSs). There is thus a growing interest in adapting DevOps approaches coming from software systems to CPSs. However, CPSs are made not only of software but also of physical parts that need to be monitored at runtime. In this paper, we claim that Model-Driven Engineering can facilitate DevOps for CPSs by automatically connecting a CPS design model to its runtime monitoring, in the form of a digital twin.
Fichier principal
Vignette du fichier
NN_ModDiT_ModelBasedDevOpsVision (4).pdf (1.42 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04425802 , version 1 (01-02-2024)

Licence

Identifiants

Citer

Benoit Combemale, Jean-Marc Jézéquel, Quentin Perez, Didier Vojtisek, Nico Jansen, et al.. Model-Based DevOps: Foundations and Challenges. MODELS-C 2023 - ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, Oct 2023, Västerås, Sweden. pp.429-433, ⟨10.1109/MODELS-C59198.2023.00076⟩. ⟨hal-04425802⟩
77 Consultations
80 Téléchargements

Altmetric

Partager

More