Publications

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Conference Papers

An Empirical Study of Bugs in Data Visualization Libraries

Published in Proceedings of the ACM on Software Engineering, 2025

An empirical analysis of bug characteristics and failure patterns in data visualization libraries.

Recommended citation: Weiqi Lu, Yongqiang Tian, Xiaohan Zhong, et al. 2025. An Empirical Study of Bugs in Data Visualization Libraries. Proceedings of the ACM on Software Engineering, vol. 2, no. FSE, pp. 2075-2098. First systematic study of bugs in visualization libraries; published at CCF-A venue (FSE).
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Journal Articles

Detecting Rendering Bugs in Imperative Data Visualization Libraries via Equivalent Mutations

Published in arXiv preprint arXiv:2607.12363, 2026

A mutation-based approach for detecting rendering bugs in imperative visualization libraries.

Recommended citation: Weiqi Lu and Yongqiang Tian. 2026. Detecting Rendering Bugs in Imperative Data Visualization Libraries via Equivalent Mutations. arXiv preprint arXiv:2607.12363. First automated testing work for visualization libraries; successfully found 47 new bugs.
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Is ChatGPT the Ultimate Programming Assistant–How Far Is It?

Published in arXiv preprint arXiv:2304.11938, 2023

A study examining the current capability boundary of ChatGPT as a programming assistant.

Recommended citation: Haoye Tian, Weiqi Lu, Tsz On Li, et al. 2023. Is ChatGPT the Ultimate Programming Assistant--How Far Is It? arXiv preprint arXiv:2304.11938. Early benchmark study on LLM coding capability; 400+ citations.
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