research-article

Open access

TwinOps - DevOps meets model-based engineering and digital twins for the engineering of CPS

Authors:

Jerome Hugues,

Anton Hristosov,

John J. Hudak,

Joe YankelAuthors Info & Claims

MODELS '20: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings

Article No.: 94, Pages 1 - 5

https://doi.org/10.1145/3417990.3421446

Published: 26 October 2020 Publication History

PDF eReader

Abstract

The engineering of Cyber-Physical Systems (CPS) requires a large set of expertise to capture the system requirements and to derive a correct solution. Model-based Engineering and DevOps aim to efficiently deliver software with increased quality. Model-based Engineering relies on models as first-class artifacts to analyze, simulate, and ultimately generate parts of a system. DevOps focuses on software engineering activities, from early development to integration, and then improvement through the monitoring of the system at run-time. We claim these can be efficiently combined to improve the engineering process of CPS.

In this paper, we present TwinOps, a process that unifies Model-based Engineering, Digital Twins, and DevOps practice in a uniform workflow. TwinOps illustrates how to leverage several best practices in MBE and DevOps for the engineering Cyber-Physical systems. We illustrate our contribution using a Digital Twins case study to illustrate TwinOps benefits, combining AADL and Modelica models, and an IoT platform.

References

[1]

Torsten Blochwitz, Martin Otter, Martin Arnold, Constanze Bausch, Christoph Clauß, Hilding Elmqvist, Andreas Junghanns, Jakob Mauss, Manuel Monteiro, Thomas Neidhold, Dietmar Neumerkel, Hans Olsson, Jörg-Volker Peetz, and Susann Wolf. 2011. The Functional Mockup Interface for Tool independent Exchange of Simulation Models. Proceedings of the 8th International Modelica Conference, 105--114.

Crossref

Google Scholar

[2]

Carl Boettiger. 2014. An introduction to Docker for reproducible research, with examples from the R environment. ACM SIGOPS Oper. Syst. Rev. 49 (10 2014).

Digital Library

Google Scholar

[3]

Benoît Combemale and Manuel Wimmer. 2019. Towards a Model-Based DevOps for Cyber-Physical Systems. In Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment - Second International Workshop, DEVOPS 2019, Château de Villebrumier, France, May 6-8, 2019, Revised Selected Papers (Lecture Notes in Computer Science, Vol. 12055), Jean-Michel Bruel, Manuel Mazzara, and Bertrand Meyer (Eds.). Springer, 84--94.

Crossref

Google Scholar

[4]

Julien Delange, Peter Feiler, and Ernst Neil. 2016. Incremental Life Cycle Assurance of Safety-Critical Systems. In 8th European Congress on Embedded Real Time Software and Systems (ERTS 2016). TOULOUSE, France. https://hal.archives-ouvertes.fr/hal-01289468

Google Scholar

[5]

Cláudio Gomes, Casper Thule, David Broman, Peter Gorm Larsen, and Hans Vangheluwe. 2017. Co-simulation: State of the art. CoRR abs/1702.00686 (2017). arXiv:1702.00686 http://arxiv.org/abs/1702.00686

Google Scholar

[6]

Katerina Goseva-Popstojanova, Teme Kahsai, Matt Knudson, Thomas Kyanko, Noble Nkwocha, and Johann Schumann. 2016. Survey on Model-Based Software Engineering and Auto-Generated Code. Technical Report NASA/TM-2016--219443. NASA.

Google Scholar

[7]

Jérôme Hugues, Jean-Marie Gauthier, and Raphaël Faudou. 2018. Integrating AADL and FMI to Extend Virtual Integration Capability. In Proceedings of 9th European Congress Embedded Real Time Software and Systems ERTSS 2018, Toulouse, France, Jan 31-Feb 2 2018. https://dblp.org/rec/bib/journals/corr/abs-1802-05620

Google Scholar

[8]

David Jones, Chris Snider, Aydin Nassehi, Jason Yon, and Ben Hicks. 2020. Characterising the Digital Twin: A systematic literature review. CIRP Journal of Manufacturing Science and Technology 29 (2020), 36 -- 52.

Crossref

Google Scholar

[9]

Gilles Lasnier, Bechir Zalila, Laurent Pautet, and Jérôme Hugues. 2009. Ocarina : An Environment for AADL Models Analysis and Automatic Code Generation for High Integrity Applications. In Reliable Software Technologies - Ada-Europe 2009, 14th Ada-Europe International Conference, Brest, France, June 8-12, 2009. Proceedings (Lecture Notes in Computer Science, Vol. 5570), Fabrice Kordon and Yvon Kermarrec (Eds.). Springer, 237--250.

Digital Library

Google Scholar

[10]

Leonardo Leite, Carla Rocha, Fabio Kon, Dejan Milojicic, and Paulo Meirelles. 2019. A Survey of DevOps Concepts and Challenges. ACM Comput. Surv. 52, 6, Article 127 (Nov. 2019), 35 pages.

Digital Library

Google Scholar

[11]

Hana Mkaouar, Bechir Zalila, Jérôme Hugues, and Mohamed Jmaiel. 2020. A formal approach to AADL model-based software engineering. Int. J. Softw. Tools Technol. Transf. 22, 2 (2020), 219--247.

Crossref

Google Scholar

[12]

OMG. 2019. OMG Systems Modeling Language (OMG SysML) Version 1.6. Technical Report formal/19-11-01. OMG.

Google Scholar

[13]

Alberto Rodrigues da Silva. 2015. Model-driven engineering: A survey supported by the unified conceptual model. Computer Languages, Systems & Structures 43 (2015), 139 -- 155.

Digital Library

Google Scholar

Cited By

View all

Guentulle VMuñoz RNussbaum MMadariaga L(2024)How Multiple Representations Using Cyber–Physical System to Teach Rectilinear Motion Improves Learning and CreativityEducation Sciences10.3390/educsci1403029314:3(293)Online publication date: 11-Mar-2024
https://doi.org/10.3390/educsci14030293
David IBork DKappel G(2024)Circular systems engineeringSoftware and Systems Modeling (SoSyM)10.1007/s10270-024-01154-423:2(269-283)Online publication date: 29-Feb-2024
https://dl.acm.org/doi/10.1007/s10270-024-01154-4
Ejersbo HLausdahl KFrasheri MEsterle L(2023)Dynamic Runtime Integration of New Models in Digital Twins2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)10.1109/SEAMS59076.2023.00016(44-55)Online publication date: May-2023
https://doi.org/10.1109/SEAMS59076.2023.00016
Show More Cited By

Index Terms

TwinOps - DevOps meets model-based engineering and digital twins for the engineering of CPS
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
2. Theory of computation
  1. Models of computation
    1. Timed and hybrid models

Recommendations

DevOps Performance Engineering: A Quasi-Ethnographical Study
ICPE '17 Companion: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion

DevOps is a software engineering strategy to reduce soft- ware changes' rollout times by adopting any set of tactics that reduce friction in software lifecycles and their organisational variables, for example: coordination, communication, product ...
Incorporating devops into undergraduate software engineering courses: a suggested framework

DevOps is a current trend for application development and delivery in the industry. Teaching about DevOps in an undergraduate software engineering course is difficult because the number of new concepts involved is high, and most students lack experience ...
Teaching software engineering practices with Extreme Programming

Extreme Programming (XP), one of many models for software development, has challenged some traditional software engineering practices while taking others to the extreme. The controversial practices raise questions about the role of XP in teaching ...

Comments

Information & Contributors

Information

Published In

MODELS '20: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings

October 2020

713 pages

ISBN:9781450381352

DOI:10.1145/3417990

Conference Chairs:
Esther Guerra
Universidad Autonoma de Madrid, Spain
,
Ludovico Iovino
Gran Sasso Science Institute, Italy

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

IEEE CS

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2020

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article

Funding Sources

United States Air Force

Conference

MODELS '20

Sponsor:

SIGSOFT

MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems

October 16 - 23, 2020

Virtual Event, Canada

Acceptance Rates

Overall Acceptance Rate 118 of 382 submissions, 31%

Upcoming Conference

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

7
Total Citations
View Citations
800
Total Downloads

Downloads (Last 12 months)288
Downloads (Last 6 weeks)40

Reflects downloads up to

Other Metrics

View Author Metrics

Citations

Cited By

View all

Guentulle VMuñoz RNussbaum MMadariaga L(2024)How Multiple Representations Using Cyber–Physical System to Teach Rectilinear Motion Improves Learning and CreativityEducation Sciences10.3390/educsci1403029314:3(293)Online publication date: 11-Mar-2024
https://doi.org/10.3390/educsci14030293
David IBork DKappel G(2024)Circular systems engineeringSoftware and Systems Modeling (SoSyM)10.1007/s10270-024-01154-423:2(269-283)Online publication date: 29-Feb-2024
https://dl.acm.org/doi/10.1007/s10270-024-01154-4
Ejersbo HLausdahl KFrasheri MEsterle L(2023)Dynamic Runtime Integration of New Models in Digital Twins2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)10.1109/SEAMS59076.2023.00016(44-55)Online publication date: May-2023
https://doi.org/10.1109/SEAMS59076.2023.00016
David IBork D(2023)Towards a Taxonomy of Digital Twin Evolution for Technical Sustainability2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)10.1109/MODELS-C59198.2023.00147(934-938)Online publication date: 1-Oct-2023
https://doi.org/10.1109/MODELS-C59198.2023.00147
Combemale BJézéquel JPerez QVojtisek DJansen NMichael JRademacher FRumpe BWortmann AZhang J(2023)Model-Based DevOps: Foundations and Challenges2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)10.1109/MODELS-C59198.2023.00076(429-433)Online publication date: 1-Oct-2023
https://doi.org/10.1109/MODELS-C59198.2023.00076
Ahmad E(2023)Model-Based System Engineering of the Internet of Things: A Bibliometric Literature AnalysisIEEE Access10.1109/ACCESS.2023.327742911(50642-50658)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3277429
Hernández RMoros BNicolás J(2023)Requirements management in DevOps environments: a multivocal mapping studyRequirements Engineering10.1007/s00766-023-00396-w28:3(317-346)Online publication date: 13-Jan-2023
https://dl.acm.org/doi/10.1007/s00766-023-00396-w

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

DevOps Performance Engineering: A Quasi-Ethnographical Study

Incorporating devops into undergraduate software engineering courses: a suggested framework

Teaching software engineering practices with Extreme Programming