Towards modeling variability of products, processes and resources in cyber-physical production systems engineering

Author:

Meixner Kristof1,Rabiser Rick2,Biffl Stefan1

Affiliation:

1. TU Wien, Austria

2. Johannes Kepler Univ. Linz, Austria

Publisher

ACM Press

Reference61 articles.

1. Sofia Ananieva, Matthias Kowal, Thomas Thüm, and Ina Schaefer. 2016. Implicit constraints in partial feature models. In Proc. of the 7th Int. FOSD Workshop, FOSD@SPLASH 2016, Amsterdam, Netherlands, October 30, 2016. 18--27.

2. Sven Apel, Don Batory, Christian Kaestner, and Gunter Saake. 2013. Feature-Oriented Software Development: Concepts and Implementation. Springer.

3. Rabih Bashroush, Muhammad Garba, Rick Rabiser, Iris Groher, and Goetz Botterweck. 2017. CASE Tool Support for Variability Management in Software Product Lines. Comput. Surveys 50, 1 (2017), 14:1--14:45.

4. Luca Berardinelli, Alexandra Mazak, Oliver Alt, Manuel Wimmer, and Gerti Kappel. 2017. Model-driven systems engineering: Principles and application in the CPPS domain. In Multi-Disciplinary Engineering for Cyber-Physical Production Systems. Springer, 261--299.

5. Thorsten Berger, Ralf Rublack, Divya Nair, Joanne M Atlee, Martin Becker, Krzysztof Czarnecki, and Andrzej Wąsowski. 2013. A survey of variability modeling in industrial practice. In Proc. of the 7th Int. Workshop on Variability Modelling of Software-intensive Systems. ACM, 7--14.

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1. Variability modeling of products, processes, and resources in cyber–physical production systems engineering;Journal of Systems and Software;2024-05

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3. A modular metamodel and refactoring rules to achieve software product line interoperability;Journal of Systems and Software;2023-03

4. Efficient Production Process Variability Exploration;Proceedings of the 16th International Working Conference on Variability Modelling of Software-Intensive Systems;2022-02-23

5. Towards Multidisciplinary Delta-Oriented Variability Management in Cyber-Physical Production Systems;Proceedings of the 16th International Working Conference on Variability Modelling of Software-Intensive Systems;2022-02-23

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