I agree that this site is using cookies. You can find further informations here.
X
Sonnekalb, Tim
18  results:
Search for persons X
?
1

A Static Analysis Platform for Investigating Security Trend..:

, In: 2023 IEEE/ACM 1st International Workshop on Software Vulnerability (SVM),
Sonnekalb, Tim ; Knaust, Christopher-Tobias ; Gruner, Bernd... - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
?
2

Cross-Domain Evaluation of a Deep Learning-Based Type Infer..:

, In: 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR),
Gruner, Bernd ; Sonnekalb, Tim ; Heinze, Thomas S.. - p. 158-169 , 2023
Link: https://doi.org/10.1109/..
 
?
3

TIPICAL - Type Inference for Python In Critical Accuracy Le..:

, In: 2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA),
Elkobi, Jonathan ; Gruner, Bernd ; Sonnekalb, Tim. - p. 16-21 , 2023
Link: https://doi.org/10.1109/..
 
?
4

ROMEO: A binary vulnerability detection dataset for explori..:

Brust, Clemens-Alexander ; Sonnekalb, Tim ; Gruner, Bernd
Computers & Security.  128 (2023)  - p. 103165 , 2023
Link: https://doi.org/10.1016/..
 
?
5

Generalizability of Code Clone Detection on CodeBERT:

, In: Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering,
Sonnekalb, Tim ; Gruner, Bernd ; Brust, Clemens-Alexander. - p. 1-3 , 2022
Link: https://dl.acm.org/doi/1..
 
?
6

Provenance-Based Security Audits and Its Application to COV..:

, In: Lecture Notes in Computer Science; Provenance and Annotation of Data and Processes,
Schreiber, Andreas ; Sonnekalb, Tim ; Heinze, Thomas S.... - p. 88-105 , 2021
Link: https://doi.org/10.1007/..
 
?
7

Deep security analysis of program code: A systematic litera..:

Sonnekalb, Tim ; Heinze, Thomas S. ; Mäder, Patrick
Empirical Software Engineering.  27 (2021)  1 - p. , 2021
Link: https://doi.org/10.1007/..
 
?
8

Towards automated, provenance-driven security audit for git..:

, In: Proceedings of the 3rd ACM SIGSOFT International Workshop on Software Security from Design to Deployment,
Sonnekalb, Tim ; Heinze, Thomas S. ; Kurnatowski, Lynn von... - p. 15-18 , 2020
Link: https://dl.acm.org/doi/1..
 
?
9

Machine-learning supported vulnerability detection in sourc..:

, In: Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering,
Sonnekalb, Tim - p. 1180-1183 , 2019
Link: https://dl.acm.org/doi/1..
 
?
10

ROMEO: A Binary Vulnerability Detection Dataset for Explori..:

Brust, Clemens-Alexander ; Sonnekalb, Tim ; Gruner, Bernd
https://elib.dlr.de/194605/1/2112.06623.pdf.  , 2023
Link: https://elib.dlr.de/1946..
 
?
11

A Static Analysis Platform for Investigating Security Trend..:

Sonnekalb, Tim ; Knaust, Christopher-Tobias ; Gruner, Bernd...
http://arxiv.org/abs/2304.01725.  , 2023
Link: http://arxiv.org/abs/230..
 
?
12

TIPICAL -- Type Inference for Python In Critical Accuracy L..:

Elkobi, Jonathan ; Gruner, Bernd ; Sonnekalb, Tim.
http://arxiv.org/abs/2308.02675.  , 2023
Link: http://arxiv.org/abs/230..
 
?
13

Generalizability of Code Clone Detection on CodeBERT:

Sonnekalb, Tim ; Gruner, Bernd ; Brust, Clemens-Alexander.
http://arxiv.org/abs/2208.12588.  , 2022
Link: http://arxiv.org/abs/220..
 
?
14

Cross-Domain Evaluation of a Deep Learning-Based Type Infer..:

Gruner, Bernd ; Sonnekalb, Tim ; Heinze, Thomas S.
http://arxiv.org/abs/2208.09189.  , 2022
Link: http://arxiv.org/abs/220..
 
?
15

Deep security analysis of program code: a systematic litera..:

Sonnekalb, Tim ; Heinze, Thomas S ; Mäder, Patrick
Empirical software engineering -- 1573-7616 -- http://uri.gbv.de/document/gvk:ppn:271350032 -- 1479898-0 -- http://www.bibliothek.uni-regensburg.de/ezeit/?1479898 -- http://link.springer.com/journal/10664.  , 2021
Link: https://doi.org/10.1007/..
 
1-15