activity
20242026
most citedWhen Large Language Models Meet UAV Projects: An Empirical Study from Developers' Perspective

1 citations · 1 across the 1 of their papers we have counts for

collaborators
Showing cs.SEShow all

5 papers · 1 filter

cs.SE20261 cited

When Large Language Models Meet UAV Projects: An Empirical Study from Developers' Perspective

Yihua Chen, Xingle Que, Jiashuo Zhang +4

In recent years, unmanned aerial vehicles (UAVs) have become increasingly popular in our daily lives and have attracted significant research interest in software engineering. At th…

cs.SE2025

An Empirical Study on Low-Code Programming using Traditional vs Large Language Model Support

Yongkun Liu, Jiachi Chen, Tingting Bi +6

Low-code programming (LCP) refers to programming using models at higher levels of abstraction, resulting in less manual and more efficient programming, and reduced learning effort…

cs.SE2025

Trace: Securing Smart Contract Repository Against Access Control Vulnerability

Chong Chen, Jiachi Chen, Lingfeng Bao +7

Smart contract vulnerabilities, particularly improper Access Control that allows unauthorized execution of restricted functions, have caused billions of dollars in losses. GitHub h…

cs.SE2025

NumScout: Unveiling Numerical Defects in Smart Contracts using LLM-Pruning Symbolic Execution

Jiachi Chen, Zhenzhe Shao, Shuo Yang +5

In recent years, the Ethereum platform has witnessed a proliferation of smart contracts, accompanied by exponential growth in total value locked (TVL). High-TVL smart contracts oft…

cs.SE2025

Enhancing The Open Network: Definition and Automated Detection of Smart Contract Defects

Hao Song, Teng Li, Jiachi Chen +6

The Open Network (TON), designed to support Telegram's extensive user base of hundreds of millions, has garnered considerable attention since its launch in 2022. FunC is the most p…