collaborators

6 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.SE2025

Adaptive Request Scheduling for CodeLLM Serving with SLA Guarantees

Shi Chang, Boyuan Chen, Kishanthan Thangarajah +2

Code Large Language Models (CodeLLMs) are increasingly integrated into modern software development workflows, yet efficiently serving them in resource-constrained, self-hosted envi…

cs.SE2025

Context-Aware CodeLLM Eviction for AI-assisted Coding

Kishanthan Thangarajah, Boyuan Chen, Shi Chang +1

AI-assisted coding tools powered by Code Large Language Models (CodeLLMs) are increasingly integrated into modern software development workflows. To address concerns around privacy…

cs.SE2025

SLA-Awareness for AI-assisted coding

Kishanthan Thangarajah, Arthur Leung, Boyuan Chen +1

The integration of AI-assisted coding tools within development environments drastically reduces development time, and allows developers to focus more on creative and critical aspec…

cs.SE2025

GUIWatcher: Automatically Detecting GUI Lags by Analyzing Mobile Application Screencasts

Wei Liu, Feng Lin, Linqiang Guo +2

The Graphical User Interface (GUI) plays a central role in mobile applications, directly affecting usability and user satisfaction. Poor GUI performance, such as lag or unresponsiv…