activity
20222026
most citedWhere is Your App Frustrating Users?

25 citations · 30 across the 15 of their papers we have counts for

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Showing cs.SEShow all

5 papers · 1 filter

cs.SE2026

Diagnosis-Driven Automatic Repair for Agentic Workflow via Symbolic Inference

Xuyan Ma, Yawen Wang, Junjie Wang +5

Platform-orchestrated agentic workflows have become a popular paradigm for developing LLM-based applications. However, their reliability remains a major challenge due to the uncert…

cs.SE2026

From Failed Trajectories to Reliable LLM Agents: Diagnosing and Repairing Harness Flaws

Mengzhuo Chen, Junjie Wang, Zhe Liu +3

LLM agents increasingly rely on agent harness: the runtime infrastructure around the base model that defines execution environments, tool interfaces, context, lifecycle orchestrati…

cs.SE2024★ 2 cited

A Roadmap for Software Testing in Open Collaborative Development Environments

Qing Wang, Junjie Wang, Mingyang Li +2

Amidst the ever-expanding digital sphere, the evolution of the Internet has not only fostered an atmosphere of information transparency and sharing but has also sparked a revolutio…

cs.SE2023★ 3 cited

CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace

Yuchao Huang, Junjie Wang, Zhe Liu +5

Crash reports are vital for software maintenance since they allow the developers to be informed of the problems encountered in the mobile application. Before fixing, developers nee…

cs.SE2022★ 25 cited

Where is Your App Frustrating Users?

Yawen Wang, Junjie Wang, Hongyu Zhang +3

User reviews of mobile apps provide a communication channel for developers to perceive user satisfaction. Many app features that users have problems with are usually expressed by k…