Benjamin Steenhoek

Orcid: 0000-0001-6175-105X

According to our database1, Benjamin Steenhoek authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
A Comprehensive Study of the Capabilities of Large Language Models for Vulnerability Detection.
CoRR, 2024

Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

TRACED: Execution-aware Pre-training for Source Code.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
Do Language Models Learn Semantics of Code? A Case Study in Vulnerability Detection.
CoRR, 2023

Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation.
CoRR, 2023

Reproducing Failures in Fault Signatures.
CoRR, 2023

A Study of Static Warning Cascading Tools (Experience Paper).
CoRR, 2023

An Empirical Study of Deep Learning Models for Vulnerability Detection.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
DeepDFA: Dataflow Analysis-Guided Efficient Graph Learning for Vulnerability Detection.
CoRR, 2022

2021
Validating static warnings via testing code fragments.
Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021


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