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ORCIDQiao Yu 0001
Person information
- affiliation: Jiangsu Normal University, School of Computer Science and Technology, Xuzhou, China
- affiliation (PhD 2017): China University of Mining and Technology, School of Computer Science and Technology, Xuzhou, China
Other persons with the same name
- Qiao Yu
- Qiao Yu 0002
![[0000-0002-6392-9461]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6392-9461")
— Huazhong University of Science and Technology, Wuhan, China
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2020 – today
- 2025
[j21]Qiao Yu, Siyu Ren, Yi Zhu, Jiaxuan Jiang, Shutao Zhang:
Class Imbalance-oriented Online Feature Selection Method for Just-in-time Software Defect Prediction. Int. J. Softw. Eng. Knowl. Eng. 35(5): 767-791 (2025)- [j20]Shengyi Cheng, Qiao Yu, Yi Zhu, Zirui Huang:
HPDA: An enhanced GNN-based software vulnerability detection approach by hybrid-scale perception and data augmentation. Softw. Qual. J. 33(3): 29 (2025) - 2024
- [j19]Yi Zhu, Yuxiang Gao, Qiao Yu:
An Empirical Study on Model-Agnostic Techniques for Source Code-Based Defect Prediction. Int. J. Softw. Eng. Knowl. Eng. 34(3): 511-544 (2024) - [j18]Hui Han, Qiao Yu, Yi Zhu, Shengyi Cheng, Yu Zhang:
An Empirical Study of the Impact of Class Overlap on the Performance and Interpretability of Cross-Version Defect Prediction. Int. J. Softw. Eng. Knowl. Eng. 34(12): 1895-1918 (2024) - [j17]Qiao Yu, Yi Zhu, Hui Han, Yu Zhao, Shujuan Jiang, Junyan Qian:
Evolutionary measures and their correlations with the performance of cross-version defect prediction for object-oriented projects. J. Softw. Evol. Process. 36(6) (2024) - [c7]Chongyang Huang, Yi Zhu, Qiao Yu, Yi Ding, Guosheng Hao:
Software Defect Prediction Model Based on Syntactic Semantics and Flow Information Features. DSA 2024: 6-15 - [c6]Xi Ding, Yi Zhu, Qiao Yu, Chongyang Huang:
A Model-Agnostic Interpretability Approach Based on Enhanced Hierarchical Clustering. QRS Companion 2024: 583-590 - 2023
- [c5]Ao Xu, Yi Zhu, Yuxiang Gao, Qiao Yu, Guosheng Hao:
Validity Analysis of Software Defect Prediction Model for Mis-label Correction Based on CleanLab. DSA 2023: 233-241 - 2022
- [j16]Yu Zhao, Yi Zhu, Qiao Yu, Xiaoying Chen:
Cross-Project Defect Prediction Considering Multiple Data Distribution Simultaneously. Symmetry 14(2): 401 (2022) - [c4]Qiao Yu, Shujuan Jiang, Yi Zhu, Hui Han, Yu Zhao, Yuanpeng Jiang:
The Change of Code Metrics for Predicting the Label Change on Evolutionary Projects: An Empirical Study. WISA 2022: 305-313 - [c3]Qiao Yu, Yi Zhu, Hui Han, Yu Zhao, Shujuan Jiang, Junyan Qian:
Evolutionary Measures for Object-oriented Projects and Impact on the Performance of Cross-version Defect Prediction. Internetware 2022: 192-201 - [c2]Yuxiang Gao, Yi Zhu, Qiao Yu:
Evaluating the effectiveness of local explanation methods on source code-based defect prediction models. MSR 2022: 640-645 - 2021
- [j15]Yu Zhao, Yi Zhu, Qiao Yu, Xiaoying Chen:
Cross-Project Defect Prediction Method Based on Manifold Feature Transformation. Future Internet 13(8): 216 (2021) - [j14]Shujuan Jiang, Miao Zhang, Yanmei Zhang, Rongcun Wang, Qiao Yu, Jacky Wai Keung:
An Integration Test Order Strategy to Consider Control Coupling. IEEE Trans. Software Eng. 47(7): 1350-1367 (2021) - [i1]Shujuan Jiang, Miao Zhang, Yanmei Zhang, Rongcun Wang, Qiao Yu, Jacky Wai Keung:
An Integration Test Order Strategy to Consider Control Coupling. CoRR abs/2103.09471 (2021) - 2020
- [j13]Li Jiang, Shujuan Jiang, Lina Gong, Yue Dong, Qiao Yu:
Which Process Metrics Are Significantly Important to Change of Defects in Evolving Projects: An Empirical Study. IEEE Access 8: 93705-93722 (2020) - [j12]Lili Bo, Shujuan Jiang, Rongcun Wang, Qiao Yu:
A bidirectional trace simplification approach based on a context switch linked list for concurrent programs. Concurr. Comput. Pract. Exp. 32(2) (2020) - [j11]Rongcun Wang, Shujuan Jiang, Kun Zhang, Qiao Yu:
Improving the Accuracy of Spectrum-Based Fault Localization Using Multiple Rules. IEICE Trans. Inf. Syst. 103-D(6): 1328-1338 (2020) - [j10]Qiao Yu, Shujuan Jiang, Junyan Qian, Lili Bo, Li Jiang, Gongjie Zhang:
Process metrics for software defect prediction in object-oriented programs. IET Softw. 14(3): 283-292 (2020)
2010 – 2019
- 2019
- [j9]Qiao Yu, Junyan Qian, Shujuan Jiang, Zhenhua Wu, Gongjie Zhang:
An Empirical Study on the Effectiveness of Feature Selection for Cross-Project Defect Prediction. IEEE Access 7: 35710-35718 (2019) - [j8]Jing Duan, Shujuan Jiang, Qiao Yu, Kai Lu, Xu Zhang, Yiwen Yao:
An Automatic Localization Tool for Null Pointer Exceptions. IEEE Access 7: 153453-153465 (2019) - [j7]Lina Gong, Shujuan Jiang, Qiao Yu, Li Jiang:
Unsupervised Deep Domain Adaptation for Heterogeneous Defect Prediction. IEICE Trans. Inf. Syst. 102-D(3): 537-549 (2019) - [j6]Lili Bo, Shujuan Jiang, Yanmei Zhang, Xingya Wang, Qiao Yu:
并发缺陷检测技术研究进展 (Research Progress on Techniques for Concurrency Bug Detection). 计算机科学 46(5): 13-20 (2019) - 2017
- [j5]Qiao Yu, Shujuan Jiang, Yanmei Zhang:
The Performance Stability of Defect Prediction Models with Class Imbalance: An Empirical Study. IEICE Trans. Inf. Syst. 100-D(2): 265-272 (2017) - [j4]Qiao Yu, Shujuan Jiang, Yanmei Zhang:
A feature matching and transfer approach for cross-company defect prediction. J. Syst. Softw. 132: 366-378 (2017) - [j3]Miao Zhang, Shujuan Jiang, Yanmei Zhang, Xingya Wang, Qiao Yu:
A multi-level feedback approach for the class integration and test order problem. J. Syst. Softw. 133: 54-67 (2017) - [j2]Qiao Yu, Shujuan Jiang, Rongcun Wang, Hongyang Wang:
A feature selection approach based on a similarity measure for software defect prediction. Frontiers Inf. Technol. Electron. Eng. 18(11): 1744-1753 (2017) - 2016
- [c1]Qiao Yu, Shujuan Jiang, Junyan Qian:
Which Is More Important for Cross-Project Defect Prediction: Instance or Feature? SATE 2016: 90-95 - 2015
- [j1]Qiao Yu, Shujuan Jiang, Yingqi Liu:
A Detection and Measurement Approach for Memory Leaked Objects in Java Programs. IEICE Trans. Inf. Syst. 98-D(5): 1053-1061 (2015)
Coauthor Index
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