15 citations · 23 across the 13 of their papers we have counts for
14 papers
Update from Hell: Can Coding Agents Survive Hidden Breakage in Dependency Upgrades?
Zijian Luo, Runzhi He, Pengfei Gao +6
Modern software systems rely heavily on third-party dependencies, but upgrading those dependencies remains a costly maintenance activity. Dependency upgrades do not always preserve…
DebugTracker: Lightweight Process Evidence for Classroom Debugging
Jiatong Liu, Xue Yao, Zehua Zhang +1
Debugging exercises are often assessed from final code and test outcomes, yet these artifacts hide how students reproduced failures, formed hypotheses, inspected evidence, edited c…
RepoTrace: Browser-Assisted Evidence Collection for GitHub Research Datasets
Xue Yao, Zehua Zhang, Jiatong Liu +1
Empirical software engineering studies frequently build datasets from GitHub issues and pull requests. In many projects, researchers inspect pages in a browser, copy selected field…
Detecting Rendering Bugs in Imperative Data Visualization Libraries via Equivalent Mutations
Weiqi Lu, Yongqiang Tian
Imperative data visualization libraries construct plots through a sequence of stateful API calls that incrementally create and update graphic elements. Rendering bugs in these libr…
Semantic-aware and Self-improving Program Reduction via Agentic Large Language Models
Xintong Zhou, Hongxu Xu, Chunhao Liao +3
Reducing bug-triggering programs to their minimal essential form is a fundamental task in debugging language processors such as compilers and interpreters. Existing reduction techn…
CrossLangFuzzer: Differential Testing of Cross-Language JVM Compilers
Xiaotian Ma, Qiong Feng, Yongqiang Tian +2
Modern JVM software increasingly integrates multiple programming languages, such as Java, Kotlin, Groovy, and Scala, within a single application. Supporting such interoperability r…
DRReduce: Enhancing Syntax-Guided Program Reduction with Dependency Reconstruction
Qiong Feng, Xiaotian Ma, Yongqiang Tian +2
Program reduction is a technique for simplifying large, failure-inducing programs into minimal reproducible test cases. Language-specific tools such as CReduce achieve strong perfo…
TEMPLATEFUZZ: Fine-Grained Chat Template Fuzzing for Jailbreaking and Red Teaming LLMs
Qingchao Shen, Zibo Xiao, Lili Huang +3
Large Language Models (LLMs) are increasingly deployed across diverse domains, yet their vulnerability to jailbreak attacks, where adversarial inputs bypass safety mechanisms to el…
LPO: Discovering Missed Peephole Optimizations with Large Language Models
Zhenyang Xu, Hongxu Xu, Yongqiang Tian +2
Peephole optimization is an essential class of compiler optimizations that targets small, inefficient instruction sequences within programs. By replacing such suboptimal instructio…
An Empirical Study of Bugs in Data Visualization Libraries
Weiqi Lu, Yongqiang Tian, Xiaohan Zhong +4
Data visualization (DataViz) libraries play a crucial role in presentation, data analysis, and application development, underscoring the importance of their accuracy in transformin…
Unmasking the Genuine Type Inference Capabilities of LLMs for Java Code Snippets
Yiwen Dong, Zhenyang Xu, Yongqiang Tian +1
Type inference is crucial for reusing online code snippets. Although snippets are prevalently shared on platforms like StackOverflow, they often lack essential type information, su…
WDD: Weighted Delta Debugging
Xintong Zhou, Zhenyang Xu, Mengxiao Zhang +2
Delta Debugging is a widely used family of algorithms (e.g., ddmin and ProbDD) to automatically minimize bug-triggering test inputs, thus to facilitate debugging. It takes a list o…
Toward a Better Understanding of Probabilistic Delta Debugging
Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian +2
Given a list L of elements and a property that L exhibits, ddmin is a well-known test input minimization algorithm designed to automatically eliminate irrelevant elements from L. T…
LPR: Large Language Models-Aided Program Reduction
Mengxiao Zhang, Yongqiang Tian, Zhenyang Xu +3
Program reduction is a prevalent technique to facilitate compilers' debugging by automatically minimizing bug-triggering programs. Existing program reduction techniques are either…