An Integrated Model-based Tool Chain for Managing Variability in Complex System Design

Damir Bilic; Etienne Brosse; Andrey Sadovykh; Dragos Truscan; Hugo Bruneliere; Uwe Ryssel

doi:10.1109/MODELS-C.2019.00045

An Integrated Model-based Tool Chain for Managing Variability in Complex System Design

Damir Bilic, Etienne Brosse, Andrey Sadovykh, Dragos Truscan, Hugo Bruneliere, Uwe Ryssel

Information Technology

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

10 Citations (Scopus)

16 Downloads (Pure)

Abstract

Software-intensive systems in the automotive domain are often built in different variants, notably in order to support different market segments and legislation regions. Model-based concepts are frequently applied to manage complexity in such variable systems. However, the considered approaches are often focused on single-product development. In order to support variable products in a model-based systems engineering environment, we describe a tool-supported approach that allows us to annotate SysML models with variability data. Such variability information is exchanged between the system modeling tool and variability management tools through the Variability Exchange Language. The contribution of the paper includes the introduction of the model-based product line engineering tool chain and its application on a practical case study at Volvo Construction Equipment. Initial results suggest an improved efficiency in developing such a variable system.

Original language	English
Title of host publication	2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)
Editors	Loli Burgueño, Alexander Pretschner, Sebastian Voss, Michel Chaudron, Jörg Kienzle, Markus Völter, Sébastien Gérard, Mansooreh Zahedi, Erwan Bousse, Arend Rensink, Fiona Polack, Gregor Engels, Gerti Kappel
Publisher	IEEE
Pages	–
ISBN (Print)	978-1-7281-5125-0
DOIs	https://doi.org/10.1109/MODELS-C.2019.00045
Publication status	Published - 2019
MoE publication type	A4 Article in a conference publication
Event	Models and Evolution Workshop - Models and Evolution Workshop Duration: 16 Sept 2019 → 16 Sept 2019

Conference

Conference	Models and Evolution Workshop
Period	16/09/19 → 16/09/19

Access to Document

10.1109/MODELS-C.2019.00045

ME2019-An-Integrated-Model-Based.pdfAccepted author manuscript, 1.66 MBLicence: Publisher rights policy

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MegaM@Rt2: MegaModelling at Runtime
Truscan, D., Ahmad, T., Iqbal, J., Porres Paltor, I., Siavashi, F. & Ashraf, A.
European Commission
01/04/17 → 31/03/20
Project: EU

Cite this

Bilic, D., Brosse, E., Sadovykh, A., Truscan, D., Bruneliere, H., & Ryssel, U. (2019). An Integrated Model-based Tool Chain for Managing Variability in Complex System Design. In L. Burgueño, A. Pretschner, S. Voss, M. Chaudron, J. Kienzle, M. Völter, S. Gérard, M. Zahedi, E. Bousse, A. Rensink, F. Polack, G. Engels, & G. Kappel (Eds.), 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) (pp. –). IEEE. https://doi.org/10.1109/MODELS-C.2019.00045

Bilic, Damir ; Brosse, Etienne ; Sadovykh, Andrey et al. / An Integrated Model-based Tool Chain for Managing Variability in Complex System Design. 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). editor / Loli Burgueño ; Alexander Pretschner ; Sebastian Voss ; Michel Chaudron ; Jörg Kienzle ; Markus Völter ; Sébastien Gérard ; Mansooreh Zahedi ; Erwan Bousse ; Arend Rensink ; Fiona Polack ; Gregor Engels ; Gerti Kappel. IEEE, 2019. pp. –

@inproceedings{e90495e389e14719914da5a89a73c72c,

title = "An Integrated Model-based Tool Chain for Managing Variability in Complex System Design",

abstract = "Software-intensive systems in the automotive domain are often built in different variants, notably in order to support different market segments and legislation regions. Model-based concepts are frequently applied to manage complexity in such variable systems. However, the considered approaches are often focused on single-product development. In order to support variable products in a model-based systems engineering environment, we describe a tool-supported approach that allows us to annotate SysML models with variability data. Such variability information is exchanged between the system modeling tool and variability management tools through the Variability Exchange Language. The contribution of the paper includes the introduction of the model-based product line engineering tool chain and its application on a practical case study at Volvo Construction Equipment. Initial results suggest an improved efficiency in developing such a variable system.",

author = "Damir Bilic and Etienne Brosse and Andrey Sadovykh and Dragos Truscan and Hugo Bruneliere and Uwe Ryssel",

note = "https://www.imt-atlantique.fr/en/publications-scientifiques/2285013 http://www.models-and-evolution.com/2019/; Models and Evolution Workshop ; Conference date: 16-09-2019 Through 16-09-2019",

year = "2019",

doi = "10.1109/MODELS-C.2019.00045",

language = "English",

isbn = "978-1-7281-5125-0",

pages = "–",

editor = "Loli Burgue{\~n}o and Alexander Pretschner and Sebastian Voss and Michel Chaudron and J{\"o}rg Kienzle and Markus V{\"o}lter and S{\'e}bastien G{\'e}rard and Mansooreh Zahedi and Erwan Bousse and Arend Rensink and Fiona Polack and Gregor Engels and Gerti Kappel",

booktitle = "2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)",

publisher = "IEEE",

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Bilic, D, Brosse, E, Sadovykh, A, Truscan, D, Bruneliere, H & Ryssel, U 2019, An Integrated Model-based Tool Chain for Managing Variability in Complex System Design. in L Burgueño, A Pretschner, S Voss, M Chaudron, J Kienzle, M Völter, S Gérard, M Zahedi, E Bousse, A Rensink, F Polack, G Engels & G Kappel (eds), 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, pp. –, Models and Evolution Workshop, 16/09/19. https://doi.org/10.1109/MODELS-C.2019.00045

An Integrated Model-based Tool Chain for Managing Variability in Complex System Design. / Bilic, Damir; Brosse, Etienne; Sadovykh, Andrey et al.
2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). ed. / Loli Burgueño; Alexander Pretschner; Sebastian Voss; Michel Chaudron; Jörg Kienzle; Markus Völter; Sébastien Gérard; Mansooreh Zahedi; Erwan Bousse; Arend Rensink; Fiona Polack; Gregor Engels; Gerti Kappel. IEEE, 2019. p. –.

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - An Integrated Model-based Tool Chain for Managing Variability in Complex System Design

AU - Bilic, Damir

AU - Brosse, Etienne

AU - Sadovykh, Andrey

AU - Truscan, Dragos

AU - Bruneliere, Hugo

AU - Ryssel, Uwe

N1 - https://www.imt-atlantique.fr/en/publications-scientifiques/2285013 http://www.models-and-evolution.com/2019/

PY - 2019

Y1 - 2019

N2 - Software-intensive systems in the automotive domain are often built in different variants, notably in order to support different market segments and legislation regions. Model-based concepts are frequently applied to manage complexity in such variable systems. However, the considered approaches are often focused on single-product development. In order to support variable products in a model-based systems engineering environment, we describe a tool-supported approach that allows us to annotate SysML models with variability data. Such variability information is exchanged between the system modeling tool and variability management tools through the Variability Exchange Language. The contribution of the paper includes the introduction of the model-based product line engineering tool chain and its application on a practical case study at Volvo Construction Equipment. Initial results suggest an improved efficiency in developing such a variable system.

AB - Software-intensive systems in the automotive domain are often built in different variants, notably in order to support different market segments and legislation regions. Model-based concepts are frequently applied to manage complexity in such variable systems. However, the considered approaches are often focused on single-product development. In order to support variable products in a model-based systems engineering environment, we describe a tool-supported approach that allows us to annotate SysML models with variability data. Such variability information is exchanged between the system modeling tool and variability management tools through the Variability Exchange Language. The contribution of the paper includes the introduction of the model-based product line engineering tool chain and its application on a practical case study at Volvo Construction Equipment. Initial results suggest an improved efficiency in developing such a variable system.

U2 - 10.1109/MODELS-C.2019.00045

DO - 10.1109/MODELS-C.2019.00045

M3 - Conference contribution

SN - 978-1-7281-5125-0

SP - –

BT - 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)

A2 - Burgueño, Loli

A2 - Pretschner, Alexander

A2 - Voss, Sebastian

A2 - Chaudron, Michel

A2 - Kienzle, Jörg

A2 - Völter, Markus

A2 - Gérard, Sébastien

A2 - Zahedi, Mansooreh

A2 - Bousse, Erwan

A2 - Rensink, Arend

A2 - Polack, Fiona

A2 - Engels, Gregor

A2 - Kappel, Gerti

PB - IEEE

T2 - Models and Evolution Workshop

Y2 - 16 September 2019 through 16 September 2019

ER -

Bilic D, Brosse E, Sadovykh A, Truscan D, Bruneliere H, Ryssel U. An Integrated Model-based Tool Chain for Managing Variability in Complex System Design. In Burgueño L, Pretschner A, Voss S, Chaudron M, Kienzle J, Völter M, Gérard S, Zahedi M, Bousse E, Rensink A, Polack F, Engels G, Kappel G, editors, 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE. 2019. p. – doi: 10.1109/MODELS-C.2019.00045

An Integrated Model-based Tool Chain for Managing Variability in Complex System Design

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