| Deep security analysis of program code: A systematic literature review T Sonnekalb, TS Heinze, P Mäder Empirical Software Engineering 27 (1), 2, 2022 | 20 | 2022 |
| Machine-learning supported vulnerability detection in source code T Sonnekalb ESEC/FSE 2019, 1180-1183, 2019 | 14 | 2019 |
| 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 | 14 | 2019 |
| Generalizability of code clone detection on codebert T Sonnekalb, B Gruner, CA Brust, P Mäder Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 12 | 2022 |
| 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 | 11 | 2021 |
| 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 | 8 | 2020 |
| Cross-domain evaluation of a deep learning-based type inference system B Gruner, T Sonnekalb, TS Heinze, CA Brust 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023 | 5 | 2023 |
| 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 | 3 | 2021 |
| Finding a needle in a haystack: Threat analysis in open-source projects B Gruner, ST Heckner, T Sonnekalb, BE Bouhlal, CA Brust 2024 IEEE International Conference on Software Analysis, Evolution and …, 2024 | 1 | 2024 |
| TIPICAL-Type Inference for Python In Critical Accuracy Level J Elkobi, B Gruner, T Sonnekalb, CA Brust 2023 IEEE/ACIS 21st International Conference on Software Engineering …, 2023 | 1 | 2023 |
| ROMEO: A binary vulnerability detection dataset for exploring Juliet through the lens of assembly language CA Brust, T Sonnekalb, B Gruner Computers & Security 128, 103165, 2023 | 1 | 2023 |
| Vulnerability Prediction and Assessment Using Software Product Metrics and Machine Learning: What Does Not Work T Sonnekalb, CM Castro, B Gruner, CA Brust, W Amme 2024 IEEE 24th International Conference on Software Quality, Reliability …, 2024 | | 2024 |
| Vulnerability Prediction with Software Metrics (Version 1.0) C Madera Castro, T Sonnekalb, T Heinze | | 2024 |
| User-agent as a Cyber Intrusion Artifact: Detection of APT Activity using minimal Anomalies on the User-agent String Traffic BE Bouhlal, T Sonnekalb, B Gruner, CA Brust Proceedings of the 16th ZEUS Workshop on Services and their Composition …, 2024 | | 2024 |
| A Static Analysis Platform for Investigating Security Trends in Repositories T Sonnekalb, CT Knaust, B Gruner, CA Brust, TS Heinze, ... 2023 IEEE/ACM 1st International Workshop on Software Vulnerability (SVM), 1-5, 2023 | | 2023 |
| Untersuchung der Domänenabhängigkeit tiefer Lernverfahren für die Typinferenz in Python B Gruner, T Sonnekalb, TS Heinze, CA Brust 22. Kolloquium Programmiersprachen und Grundlagen der Programmierung (KPS 2023), 2023 | | 2023 |
| Machine Learning Applications in Secure Software Engineering BE Bouhlal, B Gruner, T Sonnekalb, CA Brust | | 2022 |
| 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 |
Bernd GrunerDeutsches Zentrum für Luft- und Raumfahrt (DLR)Bestätigte E-Mail-Adresse bei dlr.de
