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SoSPa: A system of Security design Patterns for systematically engineering secure systems.

, , , , , and . MoDELS, page 246-255. IEEE Computer Society, (2015)

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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)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)Popularity-Driven Ontology Ranking Using Qualitative Features., , and . ISWC (1), volume 11778 of Lecture Notes in Computer Science, page 329-346. Springer, (2019)Confuzzion: A Java Virtual Machine Fuzzer for Type Confusion Vulnerabilities., , , , and . QRS, page 586-597. IEEE, (2021)LOVBench: Ontology Ranking Benchmark., , , and . WWW, page 1750-1760. ACM / IW3C2, (2020)What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning., , , , and . CoRR, (2020)DRE: density-based data selection with entropy for adversarial-robust deep learning models., , , , and . Neural Comput. Appl., 35 (5): 4009-4026 (February 2023)What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness., , , , , , and . ICSME, page 352-363. IEEE, (2022)