3 papers
cs.SE2025
Leveraging Self-Paced Learning for Software Vulnerability Detection
Zeru Cheng, Yanjing Yang, He Zhang +5
Software vulnerabilities are major risks to software systems. Recently, researchers have proposed many deep learning approaches to detect software vulnerabilities. However, their a…
cs.SE2024
DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection
Yanjing Yang, Xin Zhou, Runfeng Mao +5
Software vulnerability detection is generally supported by automated static analysis tools, which have recently been reinforced by deep learning (DL) models. However, despite the s…
cs.SE2024
Detecting Build Dependency Errors in Incremental Builds
Jun Lyu, Shanshan Li, He Zhang +3
Incremental and parallel builds performed by build tools such as Make are the heart of modern C/C++ software projects. Their correct and efficient execution depends on build script…