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20112026
most citedLearning a Static Bug Finder from Data

8 citations · 18 across the 12 of their papers we have counts for

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Showing cs.SEShow all

8 papers · 1 filter

cs.SE2026

Knowledge-Enhanced Agentic Vulnerability Repair

Sicong Cao, Hao Ma, Le Yu +8

Frontier foundation models have changed the math on vulnerability discovery, but the bigger challenge is how the remediation side keeps up. Despite recent progresses in Automated V…

cs.SE2026

FeatureFuzz: Treating Bug-prone Features as Core Primitives for Compiler Fuzzing

Xingbang He, Yuanwei Chen, Hao Wu +9

CI/CD pipelines often execute build and test tasks with high privileges, making the compilation stage security-sensitive. In this setting, malicious pull requests may exploit caref…

cs.SE2024

Finding Cross-rule Optimization Bugs in Datalog Engines

Chi Zhang, Linzhang Wang, Manuel Rigger

Datalog is a popular and widely-used declarative logic programming language. Datalog engines apply many cross-rule optimizations; bugs in them can cause incorrect results. To detec…

cs.SE2023

Automatic Detection, Validation and Repair of Race Conditions in Interrupt-Driven Embedded Software

Yu Wang, Fengjuan Gao, Linzhang Wang +4

Interrupt-driven programs are widely deployed in safety-critical embedded systems to perform hardware and resource dependent data operation tasks. The frequent use of interrupts in…

cs.SE2022★ 1 cited

Infrared: A Meta Bug Detector

Chi Zhang, Yu Wang, Linzhang Wang

The recent breakthroughs in deep learning methods have sparked a wave of interest in learning-based bug detectors. Compared to the traditional static analysis tools, these bug dete…

cs.SE2020★ 4 cited

Learning Semantic Program Embeddings with Graph Interval Neural Network

Yu Wang, Fengjuan Gao, Linzhang Wang +1

Learning distributed representations of source code has been a challenging task for machine learning models. Earlier works treated programs as text so that natural language methods…

cs.SE2019★ 8 cited

Learning a Static Bug Finder from Data

Yu Wang, Fengjuan Gao, Linzhang Wang +1

We present an alternative approach to creating static bug finders. Instead of relying on human expertise, we utilize deep neural networks to train static analyzers directly from da…

cs.SE2011★ 1 cited

Online Verification of Control Parameter Calculations in Communication Based Train Control System

Lei Bu, Xin Chen, Linzhang Wang +1

Communication Based Train Control (CBTC) system is the state-of-the-art train control system. In a CBTC system, to guarantee the safety of train operation, trains communicate with…