Benjamin Steenhoek

18 papers A* 4A 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE.
ICSE
Benjamin Steenhoek, Kalpathy Sivaraman, Renata Saldivar Gonzalez, Yevhen Mohylevskyy, Roshanak Zilouchian Moghaddam, Wei Le
2025 J jnl
CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning.
CoRR
Monoshi Kumar Roy, Simin Chen, Benjamin Steenhoek, Jinjun Peng, Gail E. Kaiser, Baishakhi Ray, Wei Le
2025 — conf
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation.
DeepTest
Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy
2025 J jnl
Saving SWE-Bench: A Benchmark Mutation Approach for Realistic Agent Evaluation.
CoRR
Spandan Garg, Benjamin Steenhoek, Yufan Huang
2024 J jnl
A Comprehensive Study of the Capabilities of Large Language Models for Vulnerability Detection.
CoRR
Benjamin Steenhoek, Md Mahbubur Rahman, Monoshi Kumar Roy, Mirza Sanjida Alam, Earl T. Barr, Wei Le
2024 J jnl
Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE.
CoRR
Benjamin Steenhoek, Kalpathy Sivaraman, Renata Saldivar Gonzalez, Yevhen Mohylevskyy, Roshanak Zilouchian Moghaddam, Wei Le
2024 A* conf
Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection.
ICSE
Benjamin Steenhoek, Hongyang Gao, Wei Le
2024 A* conf
TRACED: Execution-aware Pre-training for Source Code.
ICSE
Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray
2023 J jnl
A Study of Static Warning Cascading Tools (Experience Paper).
CoRR
Xiuyuan Guo, Ashwin Kallingal Joshy, Benjamin Steenhoek, Wei Le, Lori Flynn
2023 A* conf
An Empirical Study of Deep Learning Models for Vulnerability Detection.
ICSE
Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles, Wei Le
2023 J jnl
Do Language Models Learn Semantics of Code? A Case Study in Vulnerability Detection.
CoRR
Benjamin Steenhoek, Md Mahbubur Rahman, Shaila Sharmin, Wei Le
2023 J jnl
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation.
CoRR
Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy
2023 J jnl
Reproducing Failures in Fault Signatures.
CoRR
Ashwin Kallingal Joshy, Benjamin Steenhoek, Xiuyuan Guo, Wei Le
2023 J jnl
TRACED: Execution-aware Pre-training for Source Code.
CoRR
Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray
2022 J jnl
An Empirical Study of Deep Learning Models for Vulnerability Detection.
CoRR
Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles, Wei Le
2022 J jnl
DeepDFA: Dataflow Analysis-Guided Efficient Graph Learning for Vulnerability Detection.
CoRR
Benjamin Steenhoek, Wei Le, Hongyang Gao
2021 J jnl
Validating Static Warnings via Testing Code Fragments.
CoRR
Ashwin Kallingal Joshy, Xueyuan Chen, Benjamin Steenhoek, Wei Le
2021 A conf
Validating static warnings via testing code fragments.
ISSTA
Ashwin Kallingal Joshy, Xueyuan Chen, Benjamin Steenhoek, Wei Le