most citedMegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation

26 citations · 35 across the 7 of their papers we have counts for

collaborators

8 papers

cs.AI2026

GSI Agent: Domain Knowledge Enhancement for Large Language Models in Green Stormwater Infrastructure

Shaohuang Wang

Green Stormwater Infrastructure (GSI) systems, such as permeable pavement, rain gardens, and bioretention facilities, require continuous inspection and maintenance to ensure long-t…

cs.SE20241 cited

Learning-based Models for Vulnerability Detection: An Extensive Study

Chao Ni, Liyu Shen, Xiaodan Xu +2

Though many deep learning-based models have made great progress in vulnerability detection, we have no good understanding of these models, which limits the further advancement of m…

cs.SE20241 cited

ThinkRepair: Self-Directed Automated Program Repair

Xin Yin, Chao Ni, Shaohua Wang +3

Though many approaches have been proposed for Automated Program Repair (APR) and indeed achieved remarkable performance, they still have limitations in fixing bugs that require ana…

cs.SE20244 cited

Rectifier: Code Translation with Corrector via LLMs

Xin Yin, Chao Ni, Tien N. Nguyen +2

Software migration is garnering increasing attention with the evolution of software and society. Early studies mainly relied on handcrafted translation rules to translate between t…

cs.SE20241 cited

CasModaTest: A Cascaded and Model-agnostic Self-directed Framework for Unit Test Generation

Chao Ni, Xiaoya Wang, Liushan Chen +4

Though many machine learning (ML)-based unit testing generation approaches have been proposed and indeed achieved remarkable performance, they still have several limitations in eff…

cs.CR202426 cited

MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation

Chao Ni, Liyu Shen, Xiaohu Yang +2

We constructed a newly large-scale and comprehensive C/C++ vulnerability dataset named MegaVul by crawling the Common Vulnerabilities and Exposures (CVE) database and CVE-related o…