MAT: A simple yet strong baseline for identifying self-admitted technical debt. - Zhaoqiang Guo; Shiran Liu; Jinping Liu; Yanhui Li; Lin Chen 015; Hongmin Lu; Yuming Zhou; Baowen Xu (CoRR, 2019)

Prioritizing documentation effort: Can we do better? - Shiran Liu; Zhaoqiang Guo; Yanhui Li; Hongmin Lu; Lin Chen 015; Lei Xu 003; Yuming Zhou; Baowen Xu (CoRR, 2020)

Boosting crash-inducing change localization with rank-performance-based feature subset selection. - Zhaoqiang Guo; Yanhui Li; Wanwangying Ma; Yuming Zhou; Hongmin Lu; Lin Chen 015; Baowen Xu (Empir. Softw. Eng., 2020)

An extensive empirical study of inconsistent labels in multi-version-project defect data sets. - Shiran Liu; Zhaoqiang Guo; Yanhui Li; Chuanqi Wang; Lin Chen 015; Zhongbin Sun; Yuming Zhou (CoRR, 2021)

Prioritizing code documentation effort: Can we do it simpler but better? - Shiran Liu; Zhaoqiang Guo; Yanhui Li; Hongmin Lu; Lin Chen 015; Lei Xu 003; Yuming Zhou; Baowen Xu (Inf. Softw. Technol., 2021)

How Far Have We Progressed in Identifying Self-admitted Technical Debts? A Comprehensive Empirical Study. - Zhaoqiang Guo; Shiran Liu; Jinping Liu; Yanhui Li; Lin Chen 015; Hongmin Lu; Yuming Zhou (ACM Trans. Softw. Eng. Methodol., 2021)

Toward a consistent performance evaluation for defect prediction models. - Xutong Liu; Shiran Liu; Zhaoqiang Guo; Peng Zhang 083; Yibiao Yang; Huihui Liu; Hongmin Lu; Yanhui Li; Lin Chen 015; Yuming Zhou (CoRR, 2023)

Deriving Thresholds of Object-Oriented Metrics to Predict Defect-Proneness of Classes: A Large-Scale Meta-Analysis. - Yuanqing Mei; Yi Rong; Shiran Liu; Zhaoqiang Guo; Yibiao Yang; Hongmin Lu; Yutian Tang; Yuming Zhou (Int. J. Softw. Eng. Knowl. Eng., 2023)

Inconsistent Defect Labels: Essence, Causes, and Influence. - Shiran Liu; Zhaoqiang Guo; Yanhui Li; Chuanqi Wang; Lin Chen 015; Zhongbin Sun; Yuming Zhou; Baowen Xu (IEEE Trans. Software Eng., 2023)

Code-line-level Bugginess Identification: How Far have We Come, and How Far have We Yet to Go? - Zhaoqiang Guo; Shiran Liu; Xutong Liu; Wei Lai; Mingliang Ma; Xu Zhang; Chao Ni 001; Yibiao Yang; Yanhui Li; Lin Chen 015; Guoqiang Zhou; Yuming Zhou (ACM Trans. Softw. Eng. Methodol., 2023)

Mitigating False Positive Static Analysis Warnings: Progress, Challenges, and Opportunities. - Zhaoqiang Guo; Tingting Tan; Shiran Liu; Xutong Liu; Wei Lai; Yibiao Yang; Yanhui Li; Lin Chen 015; Wei Dong 006; Yuming Zhou (IEEE Trans. Software Eng., 2023)

iSMELL: Assembling LLMs with Expert Toolsets for Code Smell Detection and Refactoring. - Di Wu; Fangwen Mu; Lin Shi 006; Zhaoqiang Guo; Kui Liu 001; Weiguang Zhuang; Yuqi Zhong; Li Zhang 029 (ASE, 2024)

A Survey on Modern Code Review: Progresses, Challenges and Opportunities. - Zezhou Yang; Cuiyun Gao 001; Zhaoqiang Guo; Zhenhao Li 002; Kui Liu 001; Xin Xia 001; Yuming Zhou (CoRR, 2024)

Towards a framework for reliable performance evaluation in defect prediction. - Xutong Liu; Shiran Liu; Zhaoqiang Guo; Peng Zhang 083; Yibiao Yang; Huihui Liu; Hongmin Lu; Yanhui Li; Lin Chen 015; Yuming Zhou (Sci. Comput. Program., 2024)

Deep learning or classical machine learning? An empirical study on line-level software defect prediction. - Yufei Zhou; Xutong Liu; Zhaoqiang Guo; Yuming Zhou; Corey Zhang; Junyan Qian (J. Softw. Evol. Process., 2024)

Test Intention Guided LLM-Based Unit Test Generation. - Zifan Nan; Zhaoqiang Guo; Kui Liu 001; Xin Xia 001 (ICSE, 2025)

Boosting Rust Unit Test Coverage through Hybrid Program Analysis and Large Language Models. - Bei Chu; Yang Feng 003; Kui Liu 001; Hange Shi; Zifan Nan; Zhaoqiang Guo; Baowen Xu (CoRR, 2025)