Tim Sonnekalb
Cited by
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Deep security analysis of program code: A systematic literature review
T Sonnekalb, TS Heinze, P Mäder
Empirical Software Engineering 27 (1), 2, 2022
Machine-learning supported vulnerability detection in source code
T Sonnekalb
ESEC/FSE 2019, 1180-1183, 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
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
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
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
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
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
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
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
Finding a Needle in a Haystack: Threat Analysis in Open-Source Projects
B Gruner, ST Heckner, T Sonnekalb, BE Bouhlal, CA Brust
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
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
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
Machine Learning Applications in Secure Software Engineering
BE Bouhlal, B Gruner, T Sonnekalb, CA Brust
Automated, Provenance-Driven Security Audit for git-Based Repositories
M Stoffers, L Kurnatowski, T Sonnekalb, A Schreiber
Software Product Assurance Workshop, 2021
Security Audit for Contact Tracing Apps applied to the Corona-Warn-App
T Sonnekalb, L Kurnatowski
WAW SE VII, 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
Unveiling the Complexity of Vulnerability Clone Detection in Agile Software Development in C: Challenges and Limitations
T Sonnekalb, B Gruner, BE Bouhlal, CA Brust, TS Heinze, P Mäder
Available at SSRN 4727007, 0
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