Zhaoqiang Guo

According to our database, Zhaoqiang Guo authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., October, 2024

Towards a framework for reliable performance evaluation in defect prediction.

Xutong Liu, Shiran Liu, Zhaoqiang Guo, Peng Zhang, Yibiao Yang, Huihui Liu, Hongmin Lu, Yanhui Li, Lin Chen, Yuming Zhou

Sci. Comput. Program., 2024

A Survey on Modern Code Review: Progresses, Challenges and Opportunities.

Zezhou Yang, Cuiyun Gao, Zhaoqiang Guo, Zhenhao Li, Kui Liu, Xin Xia, Yuming Zhou

CoRR, 2024

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, Wei Dong, Yuming Zhou

IEEE Trans. Software Eng., December, 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, Yibiao Yang, Yanhui Li, Lin Chen, Guoqiang Zhou, Yuming Zhou

ACM Trans. Softw. Eng. Methodol., July, 2023

Inconsistent Defect Labels: Essence, Causes, and Influence.

Shiran Liu, Zhaoqiang Guo, Yanhui Li, Chuanqi Wang, Lin Chen, Zhongbin Sun, Yuming Zhou, Baowen Xu

IEEE Trans. Software Eng., February, 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

Toward a consistent performance evaluation for defect prediction models.

Xutong Liu, Shiran Liu, Zhaoqiang Guo, Peng Zhang, Yibiao Yang, Huihui Liu, Hongmin Lu, Yanhui Li, Lin Chen, Yuming Zhou

CoRR, 2023

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, Hongmin Lu, Yuming Zhou

ACM Trans. Softw. Eng. Methodol., 2021

Prioritizing code documentation effort: Can we do it simpler but better?

Shiran Liu, Zhaoqiang Guo, Yanhui Li, Hongmin Lu, Lin Chen, Lei Xu, Yuming Zhou, Baowen Xu

Inf. Softw. Technol., 2021

An extensive empirical study of inconsistent labels in multi-version-project defect data sets.

Shiran Liu, Zhaoqiang Guo, Yanhui Li, Chuanqi Wang, Lin Chen, Zhongbin Sun, Yuming Zhou

CoRR, 2021

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, Baowen Xu

Empir. Softw. Eng., 2020

Prioritizing documentation effort: Can we do better?

Shiran Liu, Zhaoqiang Guo, Yanhui Li, Hongmin Lu, Lin Chen, Lei Xu, Yuming Zhou, Baowen Xu

CoRR, 2020

2019

MAT: A simple yet strong baseline for identifying self-admitted technical debt.

Zhaoqiang Guo, Shiran Liu, Jinping Liu, Yanhui Li, Lin Chen, Hongmin Lu, Yuming Zhou, Baowen Xu

CoRR, 2019