Runtime modeling and analysis of IoT systems-Reference-Cited by-同舟云学术

Runtime modeling and analysis of IoT systems

Published:2020-10-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
language:
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Author:

Åkesson Alfred¹,Hedin Görel¹,Fors Niklas¹,Schöne Rene²,Mey Johannes²

Affiliation:

1. Lund University, Sweden

2. Technische Universität Dresden, Germany

Funder

Swedish Foundation for Strategic Research

Knut and Alice Wallenberg Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3417990.3421397

Reference13 articles.

1. Models@run.time: a guided tour of the state of the art and research challenges

2. Models@ run.time

3. Lightweight query-based analysis of workflow process dependencies

4. F Francois G Nain B Morin E Daubert O Barais N Plouzeau and J-M Jézéquel. 2014. Kevoree Modeling Framework (KMF): Efficient modeling techniques for runtime use. http://arxiv.org/abs/1405.6817 F Francois G Nain B Morin E Daubert O Barais N Plouzeau and J-M Jézéquel. 2014. Kevoree Modeling Framework (KMF): Efficient modeling techniques for runtime use. http://arxiv.org/abs/1405.6817

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2. ComPOS: A DSL for Composing IoT Systems with Weak Connectivity;Proceedings of the 10th ACM SIGPLAN International Workshop on Reactive and Event-Based Languages and Systems;2023-10-19