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Transforming abstract to concrete repairs with a generative approach of repair values., , and . J. Syst. Softw., (2021)Detecting and exploring side effects when repairing model inconsistencies., , and . SLE, page 113-126. ACM, (2019)Feature subset selection for learning huge configuration spaces: the case of linux kernel size., , , , , , , and . SPLC (A), page 85-96. ACM, (2022)On the power of abstraction: a model-driven co-evolution approach of software code., , , and . ICSE (NIER), page 85-88. ACM, (2020)Transfer Learning Across Variants and Versions: The Case of Linux Kernel Size., , , , , and . IEEE Trans. Software Eng., 48 (11): 4274-4290 (2022)HyperDiff: Computing Source Code Diffs at Scale., , , and . ESEC/SIGSOFT FSE, page 288-299. ACM, (2023)An Exploratory Experiment on Metamodel-Transformation Co-Evolution., , , and . APSEC, page 576-581. IEEE Computer Society, (2017)From Abstract to Concrete Repairs of Model Inconsistencies: An Automated Approach., , , , and . APSEC, page 456-465. IEEE Computer Society, (2017)Consistent change propagation within models., , , and . Softw. Syst. Model., 20 (2): 539-555 (2021)A community-sourced view on engineering digital twins: a report from the EDT.Community., , , , , , , , and . MoDELS (Companion), page 481-485. ACM, (2022)