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20232026
most citedHarnessing the Power of LLM to Support Binary Taint Analysis

28 citations · 51 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.SE2025★ 1 cited

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…

cs.SE2025

On the Feasibility of Deduplicating Compiler Bugs with Bisection

Xintong Zhou, Zhenyang Xu, Yongqiang Tian +1

Random testing has proven to be an effective technique for compiler validation. However, the debugging of bugs identified through random testing presents a significant challenge du…

cs.SE2025

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…

cs.SE2024★ 7 cited

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…

cs.SE2024

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…