Towards Delta-Oriented Variability Modeling for IEC 61499

Hafiyyan Fadhlillah; Bianca Wiesmayr; Michael Oberlehner; Rick Rabiser; Alois Zoitl

doi:10.1109/ETFA45728.2021.9613293

Towards Delta-Oriented Variability Modeling for IEC 61499

LIT Cyber-Physical Systems Lab

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

Abstract

Modern production plants are complex Cyber-Physical Production Systems with an ever-increasing share of software controlling and automating their operation. The customization of these systems to the needs of their customers and their frequent evolution over a typically long life-cycle result in a plethora of variants to be managed. However, reuse still is mainly done in an opportunistic way, relying on copy-paste-modify strategies. More systematic, strategic reuse would help to reduce costs and time to market, but requires approaches that can be applied to domain-specific languages for developing distributed control software. In this paper, we propose an approach to manage variability in IEC 61499-based systems using delta-oriented variability modeling. We discuss open challenges and outline a research agenda for variability management in IEC 61499.

Original language	English
Title of host publication	Proc. of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA)
Place of Publication	New York, USA
Publisher	IEEE
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781728129891
ISBN (Print)	978-1-7281-2989-1
DOIs	https://doi.org/10.1109/ETFA45728.2021.9613293
Publication status	Published - Dec 2021

Publication series

Name	IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Volume	2021-September
ISSN (Print)	1946-0740
ISSN (Electronic)	1946-0759

Fields of science

202017 Embedded systems
102022 Software development
102025 Distributed systems
102029 Practical computer science
202003 Automation
202041 Computer engineering

JKU Focus areas

Digital Transformation

Access to Document

10.1109/ETFA45728.2021.9613293

Cite this

Fadhlillah, H., Wiesmayr, B., Oberlehner, M., Rabiser, R., & Zoitl, A. (2021). Towards Delta-Oriented Variability Modeling for IEC 61499. In Proc. of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA) (pp. 1-4). (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Vol. 2021-September). IEEE. https://doi.org/10.1109/ETFA45728.2021.9613293

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title = "Towards Delta-Oriented Variability Modeling for IEC 61499",

abstract = "Modern production plants are complex Cyber-Physical Production Systems with an ever-increasing share of software controlling and automating their operation. The customization of these systems to the needs of their customers and their frequent evolution over a typically long life-cycle result in a plethora of variants to be managed. However, reuse still is mainly done in an opportunistic way, relying on copy-paste-modify strategies. More systematic, strategic reuse would help to reduce costs and time to market, but requires approaches that can be applied to domain-specific languages for developing distributed control software. In this paper, we propose an approach to manage variability in IEC 61499-based systems using delta-oriented variability modeling. We discuss open challenges and outline a research agenda for variability management in IEC 61499.",

keywords = "Cyber-Physical Production Systems, IEC 61499, Model-driven Development, Software Product Lines, Variability Modeling",

author = "Hafiyyan Fadhlillah and Bianca Wiesmayr and Michael Oberlehner and Rick Rabiser and Alois Zoitl",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.",

year = "2021",

month = dec,

doi = "10.1109/ETFA45728.2021.9613293",

language = "English",

isbn = "978-1-7281-2989-1",

series = "IEEE International Conference on Emerging Technologies and Factory Automation, ETFA",

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Fadhlillah, H, Wiesmayr, B , Oberlehner, M , Rabiser, R & Zoitl, A 2021, Towards Delta-Oriented Variability Modeling for IEC 61499. in Proc. of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, vol. 2021-September, IEEE, New York, USA, pp. 1-4. https://doi.org/10.1109/ETFA45728.2021.9613293

Towards Delta-Oriented Variability Modeling for IEC 61499. / Fadhlillah, Hafiyyan; Wiesmayr, Bianca ; Oberlehner, Michael et al.
Proc. of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA). New York, USA: IEEE, 2021. p. 1-4 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Vol. 2021-September).

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

TY - GEN

T1 - Towards Delta-Oriented Variability Modeling for IEC 61499

AU - Fadhlillah, Hafiyyan

AU - Wiesmayr, Bianca

AU - Oberlehner, Michael

AU - Rabiser, Rick

AU - Zoitl, Alois

PY - 2021/12

Y1 - 2021/12

N2 - Modern production plants are complex Cyber-Physical Production Systems with an ever-increasing share of software controlling and automating their operation. The customization of these systems to the needs of their customers and their frequent evolution over a typically long life-cycle result in a plethora of variants to be managed. However, reuse still is mainly done in an opportunistic way, relying on copy-paste-modify strategies. More systematic, strategic reuse would help to reduce costs and time to market, but requires approaches that can be applied to domain-specific languages for developing distributed control software. In this paper, we propose an approach to manage variability in IEC 61499-based systems using delta-oriented variability modeling. We discuss open challenges and outline a research agenda for variability management in IEC 61499.

AB - Modern production plants are complex Cyber-Physical Production Systems with an ever-increasing share of software controlling and automating their operation. The customization of these systems to the needs of their customers and their frequent evolution over a typically long life-cycle result in a plethora of variants to be managed. However, reuse still is mainly done in an opportunistic way, relying on copy-paste-modify strategies. More systematic, strategic reuse would help to reduce costs and time to market, but requires approaches that can be applied to domain-specific languages for developing distributed control software. In this paper, we propose an approach to manage variability in IEC 61499-based systems using delta-oriented variability modeling. We discuss open challenges and outline a research agenda for variability management in IEC 61499.

KW - Cyber-Physical Production Systems

KW - IEC 61499

KW - Model-driven Development

KW - Software Product Lines

KW - Variability Modeling

UR - https://www.scopus.com/pages/publications/85122924107

U2 - 10.1109/ETFA45728.2021.9613293

DO - 10.1109/ETFA45728.2021.9613293

M3 - Conference proceedings

SN - 978-1-7281-2989-1

T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

SP - 1

EP - 4

BT - Proc. of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA)

PB - IEEE

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Fadhlillah H, Wiesmayr B , Oberlehner M , Rabiser R , Zoitl A. Towards Delta-Oriented Variability Modeling for IEC 61499. In Proc. of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA). New York, USA: IEEE. 2021. p. 1-4. (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA). doi: 10.1109/ETFA45728.2021.9613293

Towards Delta-Oriented Variability Modeling for IEC 61499

Abstract

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Fields of science

JKU Focus areas

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Christian Doppler Laboratory for Mastering Variability in Software-intensive Cyber-physical Production Systems (CDL VaSiCS)

Cite this

Towards Delta-Oriented Variability Modeling for IEC 61499

Abstract

Publication series

Fields of science

JKU Focus areas

Access to Document

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Projects

Christian Doppler Laboratory for Mastering Variability in Software-intensive Cyber-physical Production Systems (CDL VaSiCS)

Cite this