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Learning to Reuse: Adaptive Model Learning for Evolving Systems.

, , and . IFM, volume 11918 of Lecture Notes in Computer Science, page 138-156. Springer, (2019)

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Learning by sampling: learning behavioral family models from software product lines., , and . Empir. Softw. Eng., 26 (1): 4 (2021)Evaluating test characteristics and effectiveness of FSM-based testing methods on RBAC systems., , and . SBES, page 83-92. ACM, (2016)SimCleaner - Sistema de Padronização de Bases de Dados utilizando Funções de Similaridade., , , , , and . CoRR, (2021)An Experimental Evaluation of Conformance Testing Techniques in Active Automata Learning., and . MODELS, page 217-227. IEEE, (2023)Learning to Reuse: Adaptive Model Learning for Evolving Systems., , and . IFM, volume 11918 of Lecture Notes in Computer Science, page 138-156. Springer, (2019)Learning from difference: an automated approach for learning family models from software product lines., , and . SPLC (A), page 10:1-10:12. ACM, (2019)Family-Based Fingerprint Analysis: A Position Paper., and . A Journey from Process Algebra via Timed Automata to Model Learning, volume 13560 of Lecture Notes in Computer Science, page 137-150. Springer, (2022)Adaptive behavioral model learning for software product lines., , , and . SPLC (A), page 142-153. ACM, (2022)A benchmark for active learning of variability-intensive systems., , , and . SPLC (A), page 245-249. ACM, (2022)Towards Multi-Criteria Prioritization of Best Practices in Research Artifact Sharing., , and . CoRR, (2021)