Towards a conceptual model for unifying variability in space and time

Author:

Ananieva Sofia1,Kehrer Timo2,Klare Heiko3,Koziolek Anne3,Lönn Henrik4,Ramesh S.5,Burger Andreas6,Taentzer Gabriele7,Westfechtel Bernhard8

Affiliation:

1. FZI Research Center for Information Technology, Berlin, Germany

2. Humboldt University of Berlin, Berlin, Germany

3. Karlsruhe Institute of Technology, Karlsruhe, Germany

4. Volvo Group Trucks Technology, Gothenburg, Sweden

5. General Motors Global R & D

6. ABB Corporate Research Center Germany, Ladenburg, Germany

7. University of Marburg, Marburg, Germany

8. University of Bayreuth, Bayreuth, Germany

Publisher

ACM Press

Reference30 articles.

1. Sofia Ananieva, Heiko Klare, Erik Burger, and Ralf Reussner. 2018. Variants and Versions Management for Models with Integrated Consistency Preservation. InProc. Intl. Workshop on Variability Modelling of Software-Intensive Systems. ACM, 3--10.

2. Michał Antkiewicz, Wenbin Ji, Thorsten Berger, Krzysztof Czarnecki, Thomas Schmorleiz, Ralf Lämmel, Stefan Stănciulescu, Andrzej Wąsowski, and Ina Schaefer. 2014. Flexible Product Line Engineering with a Virtual Platform. InProc. Intl. Conference on Software Engineering. ACM, 532--535.

3. Sven Apel, Don Batory, Christian Kästner, and Gunter Saake. 2013.Feature-Oriented Software Product Lines: Concepts and Implementation. Springer.

4. Paul Clements and Linda Northrop. 2001.Software Product Lines: Practices and Patterns. Addison-Wesley.

5. Reidar Conradi and Bernhard Westfechtel. 1998. Version Models for Software Configuration Management.ACM Comput. Surv. 30, 2 (June 1998), 232--282.

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1. Preserving Consistency of Interrelated Models during View-Based Evolution of Variable Systems;Proceedings of the 21st ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences;2022-11-29

2. Synchronizing software variants;Proceedings of the 26th ACM International Systems and Software Product Line Conference - Volume B;2022-09-12

3. A conceptual model for unifying variability in space and time: Rationale, validation, and illustrative applications;Empirical Software Engineering;2022-05-30

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