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Machine learning and configurable systems: a gentle introduction., , , and . SPLC (A), page 40:1. ACM, (2020)Separating Concerns in Feature Models: Retrospective and Support for Multi-Views., , , , , and . Domain Engineering, Product Lines, Languages, and Conceptual Models, Springer, (2013)Special issue on systems and software product line engineering., and . J. Syst. Softw., (2019)A domain-specific language for managing feature models., , , and . SAC, page 1333-1340. ACM, (2011)A formal modeling and analysis framework for software product line of preemptive real-time systems., , , , and . SAC, page 1562-1565. ACM, (2016)Support for reverse engineering and maintaining feature models., , , , and . VaMoS, page 20:1-20:8. ACM, (2013)Assessing product line derivation operators applied to Java source code: an empirical study., , , , and . SPLC, page 36-45. ACM, (2015)Characterizing Black-box Composition Operators via Generated Tailored Benchmarks., , , and . J. Object Technol., 19 (2): 7:1-20 (2020)Extraction and evolution of architectural variability models in plugin-based systems., , , , , and . Softw. Syst. Model., 13 (4): 1367-1394 (2014)Towards Leveraging Tests to Identify Impacts of Metamodel and Code Co-evolution., , , and . CAiSE Forum, volume 477 of Lecture Notes in Business Information Processing, page 129-137. Springer, (2023)