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System Test Synthesis from UML Models of Distributed Software, , , , , and . FORTE, page 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..System Testing of Product Lines: From Requirements to Test Cases., , and . Software Product Lines, Springer, (2006)Requirements by Contracts allow Automated System Testing, , , and . ISSRE '03: Proceedings of the 14th International Symposium on Software Reliability Engineering, page 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., , , , and . CoRR, (2020)Learning To Predict Vulnerabilities From Vulnerability-Fixes: A Machine Translation Approach., , , , , and . CoRR, (2020)Test Selection for Deep Learning Systems., , , , and . ACM Trans. Softw. Eng. Methodol., 30 (2): 13:1-13:22 (2021)Smart discovery of periodic-frequent human routines for home automation., , , and . MobiQuitous, page 268-277. ACM, (2019)Bottom-Up Technologies for Reuse: A Framework to Support Extractive Software Product Line Adoption Activities., , , , and . Handbook of Re-Engineering Software Intensive Systems into Software Product Lines, Springer International Publishing, (2023)DRE: density-based data selection with entropy for adversarial-robust deep learning models., , , , and . Neural Comput. Appl., 35 (5): 4009-4026 (February 2023)LOVBench: Ontology Ranking Benchmark., , , and . WWW, page 1750-1760. ACM / IW3C2, (2020)