7 citations · 11 across the 10 of their papers we have counts for
11 papers
Effective Construction of Feature Database of Fingerprinting Functions for Code-Clone SCA
Zhiling Zhu, Tieming Chen, Chengwei Liu +5
In contemporary software development, the extensive adoption of third-party libraries has become standard practice to avoid reinventing the wheel. This trend is particularly eviden…
Robust Smart Contract Vulnerability Detection via Contrastive Learning-Enhanced Granular-ball Training
Zeli Wang, Qingxuan Yang, Shuyin Xia +3
Deep neural networks (DNNs) have emerged as a prominent approach for detecting smart contract vulnerabilities, driven by the growing contract datasets and advanced deep learning te…
JC-Finder: Detecting Java Clone-based Third-Party Library by Class-level Tree Analysis
Lida Zhao, Chaofan Li, Yueming Wu +10
While reusing third-party libraries (TPL) facilitates software development, its chaotic management has brought great threats to software maintenance and the unauthorized use of sou…
Detecting Essence Code Clones via Information Theoretic Analysis
Lida Zhao, Shihan Dou, Yutao Hu +8
Code cloning, a widespread practice in software development, involves replicating code fragments to save time but often at the expense of software maintainability and quality. In t…
An Empirical Study of Vulnerability Detection using Federated Learning
Peiheng Zhou, Ming Hu, Xingrun Quan +6
Although Deep Learning (DL) methods becoming increasingly popular in vulnerability detection, their performance is seriously limited by insufficient training data. This is mainly b…
Vulseye: Detect Smart Contract Vulnerabilities via Stateful Directed Graybox Fuzzing
Ruichao Liang, Jing Chen, Cong Wu +6
Smart contracts, the cornerstone of decentralized applications, have become increasingly prominent in revolutionizing the digital landscape. However, vulnerabilities in smart contr…
Towards Effective Detection of Ponzi schemes on Ethereum with Contract Runtime Behavior Graph
Ruichao Liang, Jing Chen, Cong Wu +6
Ponzi schemes, a form of scam, have been discovered in Ethereum smart contracts in recent years, causing massive financial losses. Existing detection methods primarily focus on rul…
CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection
Shihan Dou, Yueming Wu, Haoxiang Jia +3
With the development of the open source community, the code is often copied, spread, and evolved in multiple software systems, which brings uncertainty and risk to the software sys…
TGMM: Combining Parse Tree with GPU for Scalable Multilingual and Multi-Granularity Code Clone Detection
Yuhang Ye, Yuekun Wang, Yinxing Xue +2
The rapid evolution of programming languages and software systems has necessitated the implementation of multilingual and scalable clone detection tools. However, it is difficult t…
Gitor: Scalable Code Clone Detection by Building Global Sample Graph
Junjie Shan, Shihan Dou, Yueming Wu +2
Code clone detection is about finding out similar code fragments, which has drawn much attention in software engineering since it is important for software maintenance and evolutio…
The Software Genome Project: Venture to the Genomic Pathways of Open Source Software and Its Applications
Yueming Wu, Chengwei Liu, Yang Liu
With the boom in modern software development, open-source software has become an integral part of various industries, driving progress in computer science. However, the immense com…