most citedStudying and Benchmarking Large Language Models For Log Level Suggestion

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2025

MobileUPReg: Identifying User-Perceived Performance Regressions in Mobile OS Versions

Wei Liu, Yi Wen Heng, Feng Lin +3

Mobile operating systems (OS) are frequently updated, but such updates can unintentionally degrade user experience by introducing performance regressions. Existing detection techni…

cs.SE2025

Screencast-Based Analysis of User-Perceived GUI Responsiveness

Wei Liu, Linqiang Guo, Yi Wen Heng +4

GUI responsiveness is critical for a positive user experience in mobile applications. Even brief delays in visual feedback can frustrate users and lead to negative reviews. However…

cs.AI2025

Agent-SAMA: State-Aware Mobile Assistant

Linqiang Guo, Wei Liu, Yi Wen Heng +3

Mobile Graphical User Interface (GUI) agents aim to autonomously complete tasks within or across apps based on user instructions. While recent Multimodal Large Language Models (MLL…

cs.SE2024

PopSweeper: Automatically Detecting and Resolving App-Blocking Pop-Ups to Assist Automated Mobile GUI Testing

Linqiang Guo, Wei Liu, Yi Wen Heng +3

Graphical User Interfaces (GUIs) are the primary means by which users interact with mobile applications, making them crucial to both app functionality and user experience. However,…

cs.SE2024★ 1 cited

Studying and Benchmarking Large Language Models For Log Level Suggestion

Yi Wen Heng, Zeyang Ma, Zhenhao Li +3

Large Language Models (LLMs) have become a focal point of research across various domains, including software engineering, where their capabilities are increasingly leveraged. Rece…