| Machine-learning supported vulnerability detection in source code T Sonnekalb ESEC/FSE 2019, 1180-1183, 2019 | 8 | 2019 |
| Deep security analysis of program code: A systematic literature review T Sonnekalb, TS Heinze, P Mäder Empirical Software Engineering 27 (1), 2, 2022 | 7 | 2022 |
| Towards automated, provenance-driven security audit for git-based repositories: applied to germany's corona-warn-app: vision paper T Sonnekalb, TS Heinze, L Kurnatowski, A Schreiber, ... Proceedings of the 3rd ACM SIGSOFT International Workshop on Software …, 2020 | 7 | 2020 |
| Smart hot water control with learned human behavior for minimal energy consumption T Sonnekalb, S Lucia 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), 572-577, 2019 | 6 | 2019 |
| Towards visual analytics dashboards for provenance-driven static application security testing A Schreiber, T Sonnekalb, L von Kurnatowski 2021 IEEE Symposium on Visualization for Cyber Security (VizSec), 42-46, 2021 | 2 | 2021 |
| Provenance-based security audits and its application to COVID-19 contact tracing apps A Schreiber, T Sonnekalb, TS Heinze, L von Kurnatowski, ... Provenance and Annotation of Data and Processes: 8th and 9th International …, 2021 | 2 | 2021 |
| ROMEO: A Binary Vulnerability Detection Dataset for Exploring Juliet through the Lens of Assembly Language CA Brust, T Sonnekalb, B Gruner Computers & Security, 103165, 2023 | | 2023 |
| Generalizability of Code Clone Detection on CodeBERT T Sonnekalb, B Gruner, CA Brust, P Mäder arXiv preprint arXiv:2208.12588, 2022 | | 2022 |
| Cross-Domain Evaluation of a Deep Learning-Based Type Inference System B Gruner, T Sonnekalb, TS Heinze, CA Brust arXiv preprint arXiv:2208.09189, 2022 | | 2022 |
| Machine Learning Applications in Secure Software Engineering BE Bouhlal, B Gruner, T Sonnekalb, CA Brust | | 2022 |
| ROMEO: Exploring Juliet through the Lens of Assembly Language CA Brust, B Gruner, T Sonnekalb arXiv preprint arXiv:2112.06623, 2021 | | 2021 |
| Automated, Provenance-Driven Security Audit for git-Based Repositories M Stoffers, L Kurnatowski, T Sonnekalb, A Schreiber Software Product Assurance Workshop, 2021 | | 2021 |
| Security Audit for Contact Tracing Apps applied to the Corona-Warn-App T Sonnekalb, L Kurnatowski WAW SE VII, 2020 | | 2020 |
| Erste Überlegungen zur Erklärbarkeit von Deep-Learning-Modellen für die Analyse von Quellcode T Sonnekalb, TS Heinze, P Mäder WSRE 2020: 22. Workshop Software-Reengineering & -Evolution 40 (2), 2, 2020 | | 2020 |
| von Kurnatowski, Lynn 42 SJ Yang, K Berlin, G Blasilli, F Böhm, S Bonomi, E Cakmak, G Denker, ... | | |
