activity
20242026
most citedMR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing

8 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2026

Uncovering and Understanding Hidden Dependencies in the LLM API Reseller Ecosystem via Prefix-Cache Side Channels

Zimo Ji, Xin Wei, Congying Xu +5

LLM API resellers have become an important access layer to modern LLM services. However, multi-level resale creates an opaque supply chain: a user's request may traverse undisclose…

cs.CR2026

Cloak and Detonate: Scanner Evasion and Dynamic Detection of Agent Skill Malware

Zimo Ji, Congying Xu, Zongjie Li +4

LLM coding agents increasingly rely on third-party agent skills from public marketplaces, which execute with the agent's privileges and create a software supply-chain attack surfac…

cs.SE2026

Coding Agents Are Guessing: Measuring Action-Boundary Violations in Underspecified DevOps Instructions

Zimo Ji, Zekai Zhang, Congying Xu +4

LLM coding agents are increasingly deployed to act autonomously on real production infrastructure. They execute shell commands, modify repositories, and call operational APIs. Howe…

cs.SE2026★ 1 cited

MR-Coupler: Automated Metamorphic Test Generation via Functional Coupling Analysis

Congying Xu, Hengcheng Zhu, Songqiang Chen +3

Metamorphic testing (MT) is a widely recognized technique for alleviating the oracle problem in software testing. However, its adoption is hindered by the difficulty of constructin…

cs.SE2026★ 1 cited

Towards Verifiably Safe Tool Use for LLM Agents

Aarya Doshi, Yining Hong, Congying Xu +3

Large language model (LLM)-based AI agents extend LLM capabilities by enabling access to tools such as data sources, APIs, search engines, code sandboxes, and even other agents. Wh…

cs.SE2025

Can Emulating Semantic Translation Help LLMs with Code Translation? A Study Based on Pseudocode

Songqiang Chen, Congying Xu, Jingyi Chen +3

Although large language models (LLMs) show promising potential in code translation, they still struggle to generate accurate translations using the commonly adopted direct code-to-…

cs.SE2024★ 8 cited

MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing

Congying Xu, Songqiang Chen, Jiarong Wu +4

While a recent study reveals that many developer-written test cases can encode a reusable Metamorphic Relation (MR), over 70% of them directly hard-code the source input and follow…