24 citations · 24 across the 9 of their papers we have counts for
7 papers · 1 filter
Athena: Vulnerability-Affected Library Identification via Knowledge Graph Completion
Phong Trinh Duy, Trang Dang Yen, Hung Nguyen-Huu +5
A single vulnerability in a widely used library can cascade through millions of dependent applications, yet more than half of vulnerability database entries contain missing or inco…
VulGuard: An Unified Tool for Evaluating Just-In-Time Vulnerability Prediction Models
Duong Nguyen, Manh Tran-Duc, Thanh Le-Cong +3
We present VulGuard, an automated tool designed to streamline the extraction, processing, and analysis of commits from GitHub repositories for Just-In-Time vulnerability prediction…
Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction
Duong Nguyen, Thanh Le-Cong, Triet Huynh Minh Le +2
Modern software systems are increasingly complex, presenting significant challenges in quality assurance. Just-in-time vulnerability prediction (JIT-VP) is a proactive approach to…
LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss
Yen-Trang Dang, Thanh-Le Cong, Phuc-Thanh Nguyen +4
Open-source development has revolutionized the software industry by promoting collaboration, transparency, and community-driven innovation. Today, a vast amount of various kinds of…
Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning
Thanh Le-Cong, Duc-Minh Luong, Xuan Bach D. Le +4
Automated program repair (APR) faces the challenge of test overfitting, where generated patches pass validation tests but fail to generalize. Existing methods for patch assessment…
Usability and Aesthetics: Better Together for Automated Repair of Web Pages
Thanh Le-Cong, Xuan Bach D. Le, Quyet-Thang Huynh +1
With the recent explosive growth of mobile devices such as smartphones or tablets, guaranteeing consistent web appearance across all environments has become a significant problem.…
Toward the Analysis of Graph Neural Networks
Thanh-Dat Nguyen, Thanh Le-Cong, ThanhVu H. Nguyen +2
Graph Neural Networks (GNNs) have recently emerged as a robust framework for graph-structured data. They have been applied to many problems such as knowledge graph analysis, social…