From Model Versioning to Variability-Augmented Modelling Technologies

Manuel Wimmer

doi:10.1145/3442391.3442394

From Model Versioning to Variability-Augmented Modelling Technologies

Manuel Wimmer

Institute of Business Informatics - Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings

Abstract

Version control systems are an essential part of the software development infrastructure. While traditional systems mostly focus on code-based artefacts, recent trends such as Cyber Physical Systems (CPS) require to support model-based artefacts as well – especially in interdisciplinary settings. As a consequence, several dedicated approaches for model versioning have been proposed recently. In this talk, I will review the active research field of model versioning, establish a common terminology, introduce the various techniques and technologies applied in current model versioning systems, and conclude with open issues and challenges such as the need for variability-augmented modelling technologies.

Original language	English
Title of host publication	VaMoS'21, 15th International Working Conference on Variability Modelling of Software-Intensive Systems, Krems, Austria, February, 9-11, 2021, Virtual Event
Number of pages	1
DOIs	https://doi.org/10.1145/3442391.3442394
Publication status	Published - Feb 2021

Fields of science

202017 Embedded systems
102002 Augmented reality
102006 Computer supported cooperative work (CSCW)
102015 Information systems
102020 Medical informatics
102022 Software development
102034 Cyber-physical systems
201132 Computational engineering
201305 Traffic engineering
207409 Navigation systems
502032 Quality management
502050 Business informatics
503015 Subject didactics of technical sciences

JKU Focus areas

Digital Transformation

Access to Document

10.1145/3442391.3442394

CDL-MINT Christian Doppler Laboratory for Model-Integrated Smart Production
Eisenberg, M. (Researcher), Gemeinhardt, F. (Researcher), Govindasami, H. S. (Researcher), Jayaraman, R. (Researcher), Mitter, A. (Researcher), Sindelar, R. (Researcher), Sint, S. (Researcher), Taspinar, B. (Researcher) & Wimmer, M. (PI)
01.01.2017 → 31.12.2023
Project: Funded research › Other sponsors

Cite this

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title = "From Model Versioning to Variability-Augmented Modelling Technologies",

abstract = "Version control systems are an essential part of the software development infrastructure. While traditional systems mostly focus on code-based artefacts, recent trends such as Cyber Physical Systems (CPS) require to support model-based artefacts as well – especially in interdisciplinary settings. As a consequence, several dedicated approaches for model versioning have been proposed recently. In this talk, I will review the active research field of model versioning, establish a common terminology, introduce the various techniques and technologies applied in current model versioning systems, and conclude with open issues and challenges such as the need for variability-augmented modelling technologies.",

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AB - Version control systems are an essential part of the software development infrastructure. While traditional systems mostly focus on code-based artefacts, recent trends such as Cyber Physical Systems (CPS) require to support model-based artefacts as well – especially in interdisciplinary settings. As a consequence, several dedicated approaches for model versioning have been proposed recently. In this talk, I will review the active research field of model versioning, establish a common terminology, introduce the various techniques and technologies applied in current model versioning systems, and conclude with open issues and challenges such as the need for variability-augmented modelling technologies.

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DO - 10.1145/3442391.3442394

M3 - Conference proceedings

BT - VaMoS'21, 15th International Working Conference on Variability Modelling of Software-Intensive Systems, Krems, Austria, February, 9-11, 2021, Virtual Event

ER -

From Model Versioning to Variability-Augmented Modelling Technologies

Abstract

Fields of science

JKU Focus areas

Access to Document

Projects

CDL-MINT Christian Doppler Laboratory for Model-Integrated Smart Production

Cite this