1 citations · 2 across the 4 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
Modeling Review History for Reviewer Recommendation:A Hypergraph Approach
Guoping Rong, Yifan Zhang, Lanxin Yang +3
Modern code review is a critical and indispensable practice in a pull-request development paradigm that prevails in Open Source Software (OSS) development. Finding a suitable revie…
An Industrial Experience Report on Retro-inspection
Lanxin Yang, He Zhang, Fuli Zhang +2
To reinforce the quality of code delivery, especially to improve future coding quality, one global Information and Communication Technology (ICT) enterprise has institutionalized a…