Benjamin Steenhoek

According to our database, Benjamin Steenhoek authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning.

Monoshi Kumar Roy, Simin Chen, Benjamin Steenhoek, Jinjun Peng, Gail E. Kaiser, Baishakhi Ray, Wei Le

CoRR, June, 2025

Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE.

Benjamin Steenhoek, Kalpathy Sivaraman, Renata Saldivar Gonzalez, Yevhen Mohylevskyy, Roshanak Zilouchian Moghaddam, Wei Le

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

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

Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy

Proceedings of the IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, 2025

2024

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

Benjamin Steenhoek, Md Mahbubur Rahman, Monoshi Kumar Roy, Mirza Sanjida Alam, Earl T. Barr, Wei Le

CoRR, 2024

Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection.

Benjamin Steenhoek, Hongyang Gao, Wei Le

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

TRACED: Execution-aware Pre-training for Source Code.

Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray

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.

Benjamin Steenhoek, Md Mahbubur Rahman, Shaila Sharmin, Wei Le

CoRR, 2023

Reproducing Failures in Fault Signatures.

Ashwin Kallingal Joshy, Benjamin Steenhoek, Xiuyuan Guo, Wei Le

CoRR, 2023

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

Xiuyuan Guo, Ashwin Kallingal Joshy, Benjamin Steenhoek, Wei Le, Lori Flynn

CoRR, 2023

An Empirical Study of Deep Learning Models for Vulnerability Detection.

Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles, Wei Le

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

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

Benjamin Steenhoek, Wei Le, Hongyang Gao

CoRR, 2022

2021

Validating static warnings via testing code fragments.

Ashwin Kallingal Joshy, Xueyuan Chen, Benjamin Steenhoek, Wei Le

Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021