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Tackling Model Drifts in Industrial Model-driven Software Product Lines by Means of a Graph Database.

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Sometimes you have to treat the symptoms: tackling model drift in an industrial clone-and-own software product line., , , , , и . ESEC/SIGSOFT FSE, стр. 1355-1366. ACM, (2022)Classifying Edits to Variability in Source Code - Summary., , , , , и . Software Engineering, том P-332 из LNI, стр. 39-40. Gesellschaft für Informatik e.V., (2023)Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining., , , , , и . ASE, стр. 930-942. IEEE, (2021)ADeX: A Tool for Automatic Curation of Design Decision Knowledge for Architectural Decision Recommendations., , , , , и . ICSA Companion, стр. 158-161. IEEE, (2019)Ideas on improving software artifact reuse via traceability and self-awareness., , , и . SST@ICSE, стр. 13-16. IEEE / ACM, (2019)Tackling Model Drifts in Industrial Model-driven Software Product Lines by Means of a Graph Database., , , и . DATA, стр. 146-157. SCITEPRESS, (2022)Classifying edits to variability in source code., , , , , и . ESEC/SIGSOFT FSE, стр. 196-208. ACM, (2022)Views on Edits to Variational Software., , , , , , , и . SPLC (A), стр. 141-152. ACM, (2023)