research-article

Towards model-based derivation of systems in the industrial automation domain

Authors:

Christoph Elsner,

Jingjing ZhaoAuthors Info & Claims

SPLC '15: Proceedings of the 19th International Conference on Software Product Line

Pages 283 - 292

https://doi.org/10.1145/2791060.2791075

Published: 20 July 2015 Publication History

Abstract

Many systems in the industrial automation domain include information systems. They manage manufacturing processes and control numerous distributed hardware and software components. In current practice, the development and reuse of such systems is costly and time-consuming, due to the variability of systems' topology and processes. Up to now, product line approaches for systematic modeling and management of variability have not been well established for such complex domains.

In this paper, we present a model-based approach to support the derivation of systems in the target domain. The proposed architecture of the derivation infrastructure enables feature-, topology- and process configuration to be integrated into the multi-staged derivation process. We have developed a prototype to prove feasibility and improvement of derivation efficiency. We report the evaluation results that we collected through semi-structured interviews from domain stakeholders. The results show high potential to improve derivation efficiency by adopting the approach in practice. Finally, we report the lessons learned that raise the opportunities and challenges for future research.

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Cited By

Vogel-Heuser BFischer JHess DNeumann EWurr M(2022)Boosting Extra-Functional Code Reusability in Cyber-Physical Production Systems: The Error Handling Case StudyIEEE Transactions on Emerging Topics in Computing10.1109/TETC.2022.314281610:1(60-73)Online publication date: 1-Jan-2022
https://doi.org/10.1109/TETC.2022.3142816
Kshirsagar KShah PSekhar R(2022)Model Based Design in Industrial Automation2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA10.1109/ICCUBEA54992.2022.10010895(1-6)Online publication date: 26-Aug-2022
https://doi.org/10.1109/ICCUBEA54992.2022.10010895
Fischer JVogel-Heuser BBerscheit AParigger S(2021)Comparison of Two Concepts for Planned Reuse of Variant-rich IEC 61131-3-based Control Software2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)10.1109/IEEM50564.2021.9672967(713-720)Online publication date: 13-Dec-2021
https://doi.org/10.1109/IEEM50564.2021.9672967
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Published In

cover image ACM Other conferences

SPLC '15: Proceedings of the 19th International Conference on Software Product Line

July 2015

460 pages

ISBN:9781450336130

DOI:10.1145/2791060

General Chair:
Douglas C. Schmidt
Vanderbilt University

Copyright © 2015 ACM.

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]

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Vanderbilt University: Vanderbilt University
Biglever: BigLever Software, Inc.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 July 2015

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Sponsor:

Vanderbilt University
Biglever

SPLC '15: 2015 International Conference on Software Product Lines

July 20 - 24, 2015

Tennessee, Nashville

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SPLC '15 Paper Acceptance Rate 34 of 87 submissions, 39%;

Overall Acceptance Rate 167 of 463 submissions, 36%

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Cited By

Vogel-Heuser BFischer JHess DNeumann EWurr M(2022)Boosting Extra-Functional Code Reusability in Cyber-Physical Production Systems: The Error Handling Case StudyIEEE Transactions on Emerging Topics in Computing10.1109/TETC.2022.314281610:1(60-73)Online publication date: 1-Jan-2022
https://doi.org/10.1109/TETC.2022.3142816
Kshirsagar KShah PSekhar R(2022)Model Based Design in Industrial Automation2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA10.1109/ICCUBEA54992.2022.10010895(1-6)Online publication date: 26-Aug-2022
https://doi.org/10.1109/ICCUBEA54992.2022.10010895
Fischer JVogel-Heuser BBerscheit AParigger S(2021)Comparison of Two Concepts for Planned Reuse of Variant-rich IEC 61131-3-based Control Software2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)10.1109/IEEM50564.2021.9672967(713-720)Online publication date: 13-Dec-2021
https://doi.org/10.1109/IEEM50564.2021.9672967
Fischer JVogel-Heuser BHaben FSchaefer I(2020)Reengineering Workflow for Planned Reuse of IEC 61131-3 Legacy Software2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)10.1109/IEEM45057.2020.9309857(1126-1130)Online publication date: 14-Dec-2020
https://doi.org/10.1109/IEEM45057.2020.9309857
Fischer JVogel-Heuser BEstevez EMale M(2020)VarApp: Variant Management App for IEC 61131-3 Compliant Legacy Software2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)10.1109/ICPS48405.2020.9274774(269-276)Online publication date: 10-Jun-2020
https://doi.org/10.1109/ICPS48405.2020.9274774
Fang MLeyh GDoerr JElsner CBaudry BCombemale BKienzle JPretschner A(2016)Multi-variability modeling and realization for software derivation in industrial automation managementProceedings of the ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems10.1145/2976767.2976804(2-12)Online publication date: 2-Oct-2016
https://dl.acm.org/doi/10.1145/2976767.2976804

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