5 citations · 7 across the 7 of their papers we have counts for
9 papers
KernelDiag: Agent-Based Root Cause Diagnosis for Kernel Crashes
Weijing Wang, Zan Wang, Dong Wang +2
The Linux kernel is one of the most complex software systems, where automated fuzzing continuously exposes thousands of crashes, yet root-cause diagnosis remains a manual and time-…
Towards Better Linux Kernel Fault Localization: Leveraging Contrastive Reasoning and Hierarchical Context Analysis
Haichi Wang, Ruiguo Yu, Yesong Pang +4
Debugging the Linux kernel remains a formidable challenge due to its vast codebase, complex architecture, and low-level programming intricacies. Effective fault localization (FL) i…
Characterizing and Mitigating False-Positive Bug Reports in the Linux Kernel
Jiashuo Tian, Dong Wang, Chen Yang +3
False-positive bug reports represent a significant yet underexplored challenge in the development and maintenance of the Linux kernel. They occur when correct system behavior is mi…
A Comprehensive Study of Deep Learning Model Fixing Approaches
Hanmo You, Zan Wang, Zishuo Dong +3
Deep Learning (DL) has been widely adopted in diverse industrial domains, including autonomous driving, intelligent healthcare, and aided programming. Like traditional software, DL…
Issue-Oriented Agent-Based Framework for Automated Review Comment Generation
Shuochuan Li, Dong Wang, Patanamon Thongtanunam +3
Code review (CR) is a crucial practice for ensuring software quality. Various automated review comment generation techniques have been proposed to streamline the labor-intensive pr…
A Survey of Reinforcement Learning for Software Engineering
Dong Wang, Hanmo You, Lingwei Zhu +6
Reinforcement Learning (RL) has emerged as a powerful paradigm for sequential decision-making and has attracted growing interest across various domains, particularly following the…
Selecting Initial Seeds for Better JVM Fuzzing
Tianchang Gao, Junjie Chen, Dong Wang +3
Literature in traditional program fuzzing has confirmed that effectiveness is largely impacted by redundancy among initial seeds, thereby proposing a series of seed selection metho…
Targeted Data Poisoning Attack on News Recommendation System by Content Perturbation
Xudong Zhang, Zan Wang, Jingke Zhao +1
News Recommendation System(NRS) has become a fundamental technology to many online news services. Meanwhile, several studies show that recommendation systems(RS) are vulnerable to…
Revisiting Deep Neural Network Test Coverage from the Test Effectiveness Perspective
Ming Yan, Junjie Chen, Xuejie Cao +3
Many test coverage metrics have been proposed to measure the Deep Neural Network (DNN) testing effectiveness, including structural coverage and non-structural coverage. These test…