activity
20182026
most citedCutting Away the Confusion From Crowdtesting

66 citations · 77 across the 19 of their papers we have counts for

collaborators
Showing cs.SEShow all

6 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.SE2025

VulRTex: A Reasoning-Guided Approach to Identify Vulnerabilities from Rich-Text Issue Report

Ziyou Jiang, Mingyang Li, Guowei Yang +2

Software vulnerabilities exist in open-source software (OSS), and the developers who discover these vulnerabilities may submit issue reports (IRs) to describe their details. Securi…

cs.SE2024

Adversarial Robustness of Open-source Text Classification Models and Fine-Tuning Chains

Hao Qin, Mingyang Li, Junjie Wang +1

Context:With the advancement of artificial intelligence (AI) technology and applications, numerous AI models have been developed, leading to the emergence of open-source model host…

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.SE2022

Putting Them under Microscope: A Fine-Grained Approach for Detecting Redundant Test Cases in Natural Language

Zhiyuan Chang, Mingyang Li, Junjie Wang +2

Natural language (NL) documentation is the bridge between software managers and testers, and NL test cases are prevalent in system-level testing and other quality assurance activit…

cs.SE2018★ 66 cited

Cutting Away the Confusion From Crowdtesting

Junjie Wang, Mingyang Li, Song Wang +2

Crowdtesting is effective especially when it comes to the feedback on GUI systems, or subjective opinions about features. Despite of this, we find crowdtesting reports are highly r…