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DRE: density-based data selection with entropy for adversarial-robust deep learning models., , , , и . Neural Comput. Appl., 35 (5): 4009-4026 (февраля 2023)Bottom-Up Technologies for Reuse: A Framework to Support Extractive Software Product Line Adoption Activities., , , , и . Handbook of Re-Engineering Software Intensive Systems into Software Product Lines, Springer International Publishing, (2023)Popularity-Driven Ontology Ranking Using Qualitative Features., , и . ISWC (1), том 11778 из Lecture Notes in Computer Science, стр. 329-346. Springer, (2019)Smart discovery of periodic-frequent human routines for home automation., , , и . MobiQuitous, стр. 268-277. ACM, (2019)LOVBench: Ontology Ranking Benchmark., , , и . WWW, стр. 1750-1760. ACM / IW3C2, (2020)Confuzzion: A Java Virtual Machine Fuzzer for Type Confusion Vulnerabilities., , , , и . QRS, стр. 586-597. IEEE, (2021)System Test Synthesis from UML Models of Distributed Software, , , , , и . FORTE, стр. 97-113. (2002)MR: Mittels UMLAUT wird die UML-Spezifikation in ein IOLTS überführt und durch das Testsynthesis-Tool TGV werden Testfälle abgeleitet. Auf diesem Ansatz baut auch der Ansatz von Nebut im SPL-Umfeld Nebut2002Nebut2003Nebut2006..Requirements by Contracts allow Automated System Testing, , , и . ISSRE '03: Proceedings of the 14th International Symposium on Software Reliability Engineering, стр. 85. Washington, DC, USA, IEEE Computer Society, (2003)What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning., , , , и . CoRR, (2020)System Testing of Product Lines: From Requirements to Test Cases., , и . Software Product Lines, Springer, (2006)