Evolving System Families in Space and Time-Reference-Cited by-同舟云学术

Evolving System Families in Space and Time

Published:2020-10-19 Issue: Volume: Page:
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Container-title:Proceedings of the 24th ACM International Systems and Software Product Line Conference - Volume B
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Author:

Michelon Gabriela Karoline¹

Affiliation:

1. LIT Secure and Correct Systems Lab, Institute for Software Systems Engineering, Johannes Kepler University Linz, Linz, Upper Austria, Austria

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3382026.3431252

Reference36 articles.

1. Sven Apel Don Batory Christian Kstner and Gunter Saake. 2013. Feature-Oriented Software Product Lines: Concepts and Implementation. Springer Publishing Company Incorporated New York. Sven Apel Don Batory Christian Kstner and Gunter Saake. 2013. Feature-Oriented Software Product Lines: Concepts and Implementation. Springer Publishing Company Incorporated New York.

2. Wesley Klewerton Guez Assunção. 2017. ModelVars2SPL: an automated approach to reengineer model variants into software product lines. Ph.D. Dissertation. Federal University of Paraná Curitiba Brazil. http://hdl.handle.net/1884/47037 Wesley Klewerton Guez Assunção. 2017. ModelVars2SPL: an automated approach to reengineer model variants into software product lines. Ph.D. Dissertation. Federal University of Paraná Curitiba Brazil. http://hdl.handle.net/1884/47037

3. David Benavides Sergio Segura Pablo Trinidad and Antonio Ruiz-Cortés. 2006. Using Java CSP Solvers in the Automated Analyses of Feature Models. Springer Berlin Heidelberg Berlin Heidelberg 399--408. https://doi.org/10.1007/11877028_16 David Benavides Sergio Segura Pablo Trinidad and Antonio Ruiz-Cortés. 2006. Using Java CSP Solvers in the Automated Analyses of Feature Models. Springer Berlin Heidelberg Berlin Heidelberg 399--408. https://doi.org/10.1007/11877028_16

4. Software Evolution in Time and Space: Unifying Version and Variability Management (Dagstuhl Seminar 19191);Berger Thorsten;Dagstuhl Reports,2019

5. A Literature Review and Comparison of Three Feature Location Techniques using ArgoUML-SPL

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