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20222026
most citedTowards Understanding Third-party Library Dependency in C/C++ Ecosystem

70 citations · 141 across the 37 of their papers we have counts for

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13 papers · 1 filter

cs.SE2026

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…

cs.SE2026

One Is Not Enough: The Untold Story of Multiple Security Patches for One Vulnerability

Fangyuan Zhang, Lyuye Zhang, Lingling Fan +6

Security patches (SPs) are the main mechanism for fixing software vulnerabilities, yet a single vulnerability is not always resolved by a single patch: fixes may be completed incre…

cs.SE2026

Benchmarking Automated Security Patch Backporting: How Far Are We?

Jincheng Yang, Yulong Fu, Chengwei Liu +5

Automated security patch backporting is critical for mitigating N-day vulnerabilities. Recent tools report success rates above 80% on their respective datasets. However, these eval…

cs.SE2026

Implicit, Yet Impactful: Understanding Hidden Dependencies in Java Projects

Lyuye Zhang, Chengwei Liu, Fangyuan Zhang +3

As software usage continues to expand, package managers automatically resolve dependencies to construct a dependency graph based on user-specified requirements. These explicitly de…

cs.SE2026

Semantic-Enhanced Automatic Refinement of Architecture Recovery Results Using LLMs

Yiran Zhang, Chengwei Liu, Yuqiang Sun +5

Understanding the architecture is crucial for effectively maintaining and managing large software systems. However, discrepancies often exist between the designed and implemented a…

cs.CR2026

MalSkillBench: A Runtime-Verified Benchmark of Malicious Agent Skills

Wenbo Guo, Wei Zeng, Chengwei Liu +5

AI coding agents such as Claude Code and Gemini CLI increasingly extend themselves with third-party skills: markdown packages bundling natural-language instructions, executable scr…

cs.SE2026

ATLAS: Agentic Taxonomy of Large-Scale Software Ecosystems

Junyi Lu, Mengyao Lyu, Jiahui Wu +6

The open-source ecosystem on GitHub lacks a systematic hierarchical taxonomy of software repositories. GitHub Topics, the dominant organizational mechanism, is flat, inconsistent,…

cs.SE2026

How Effective Are NPM Malicious Package Detectors? A Large-Scale Empirical Study

Wenbo Guo, Zhongwen Chen, Zhengzi Xu +7

The NPM ecosystem faces escalating threats from malicious packages that exploit its open publication model. While numerous detection tools have been proposed, they are evaluated on…

cs.SE2026

From Docs to Descriptions: Smell-Aware Evaluation of MCP Server Descriptions

Peiran Wang, Ying Li, Yuqiang Sun +3

The Model Context Protocol (MCP) has rapidly become a de facto standard for connecting LLM-based agents with external tools via reusable MCP servers. In practice, however, server s…

cs.CR2026

LogicScan: An LLM-driven Framework for Detecting Business Logic Vulnerabilities in Smart Contracts

Jiaqi Gao, Zijian Zhang, Yuqiang Sun +5

Business logic vulnerabilities have become one of the most damaging yet least understood classes of smart contract vulnerabilities. Unlike traditional bugs such as reentrancy or ar…

cs.CL2026

ASTRA: Automated Synthesis of agentic Trajectories and Reinforcement Arenas

Xiaoyu Tian, Haotian Wang, Shuaiting Chen +12

Large language models (LLMs) are increasingly used as tool-augmented agents for multi-step decision making, yet training robust tool-using agents remains challenging. Existing meth…

cs.CR2026

Cutting the Gordian Knot: Detecting Malicious PyPI Packages via a Knowledge-Mining Framework

Wenbo Guo, Chengwei Liu, Ming Kang +5

The Python Package Index (PyPI) has become a target for malicious actors, yet existing detection tools generate false positive rates of 15-30%, incorrectly flagging one-third of le…

cs.SE2026★ 1 cited

Bridging Expert Reasoning and LLM Detection: A Knowledge-Driven Framework for Malicious Packages

Wenbo Guo, Shiwen Song, Jiaxun Guo +5

Open-source ecosystems such as NPM and PyPI are increasingly targeted by supply chain attacks, yet existing detection methods either depend on fragile handcrafted rules or data-dri…