Fangyun Qin

18 papers A 1C 2Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
ARFT-Transformer: Modeling Metric Dependencies for Cross-Project Aging-Related Bug Prediction.
CoRR
Shuning Ge, Fangyun Qin, Xiaohui Wan, Yang Liu, Qian Dai, Zheng Zheng
2026 J jnl
ARFT-Transformer: Modeling metric dependencies for cross-project aging-related bug prediction.
J. Syst. Softw.
Shuning Ge, Fangyun Qin, Xiaohui Wan, Yang Liu, Qian Dai, Zheng Zheng
2025 J jnl
Functional and Defect Study in Deep Learning Libraries: A Complex Network Perspective.
IEEE Trans. Reliab.
Xuhui Lu, Zheng Zheng, Fangyun Qin, Xiangyue Ma, Qing Cai
2025 J jnl
Towards Label-Efficient Deep Learning-Based Aging-Related Bug Prediction With Spiking Convolutional Neural Networks.
IEEE Trans. Emerg. Top. Comput.
Yunzhe Tian, Yike Li, Kang Chen, Zhenguo Zhang, Endong Tong, Jiqiang Liu, Fangyun Qin, Zheng Zheng, Wenjia Niu
2024 J jnl
Adjusted Trust Score: A Novel Approach for Estimating the Trustworthiness of Software Defect Prediction Models.
IEEE Trans. Reliab.
Xiaohui Wan, Zheng Zheng, Fangyun Qin, Xuhui Lu, Kun Qiu
2024 J jnl
Cross-project concurrency bug prediction using domain-adversarial neural network.
J. Syst. Softw.
Fangyun Qin, Zheng Zheng, Yulei Sui, Siqian Gong, Zhi-Ping Shi, Kishor S. Trivedi
2024 J jnl
Data Complexity: A New Perspective for Analyzing the Difficulty of Defect Prediction Tasks.
ACM Trans. Softw. Eng. Methodol.
Xiaohui Wan, Zheng Zheng, Fangyun Qin, Xuhui Lu
2023 J jnl
Data Complexity: A New Perspective for Analyzing the Difficulty of Defect Prediction Tasks.
CoRR
Xiaohui Wan, Zheng Zheng, Fangyun Qin, Xuhui Lu
2023 — conf
Mitigating Overfitting for Deep Learning-based Aging-related Bug Prediction via Brain-inspired Regularization in Spiking Neural Networks.
ISSREW
Yunzhe Tian, Yike Li, Kang Chen, Endong Tong, Wenjia Niu, Jiqiang Liu, Fangyun Qin, Zheng Zheng
2023 J jnl
Predicting Aging-Related Bugs Using Network Analysis on Aging-Related Dependency Networks.
IEEE Trans. Emerg. Top. Comput.
Fangyun Qin, Zheng Zheng, Xiaohui Wan, Zhihao Liu, Zhiping Shi
2022 J jnl
A residual convolutional neural network based approach for real-time path planning.
Knowl. Based Syst.
Yang Liu, Zheng Zheng, Fangyun Qin, Xiaoyi Zhang, Haonan Yao
2020 J jnl
An empirical study of factors affecting cross-project aging-related bug prediction with TLAP.
Softw. Qual. J.
Fangyun Qin, Xiaohui Wan, Beibei Yin
2019 J jnl
Studying Aging-Related Bug Prediction Using Cross-Project Models.
IEEE Trans. Reliab.
Fangyun Qin, Zheng Zheng, Yu Qiao, Kishor S. Trivedi
2019 A conf
Supervised Representation Learning Approach for Cross-Project Aging-Related Bug Prediction.
ISSRE
Xiaohui Wan, Zheng Zheng, Fangyun Qin, Yu Qiao, Kishor S. Trivedi
2019 J jnl
Two-Level Rejuvenation for Android Smartphones and Its Optimization.
IEEE Trans. Reliab.
Yu Qiao, Zheng Zheng, Yunyu Fang, Fangyun Qin, Kishor S. Trivedi, Kai-Yuan Cai
2017 C conf
An Empirical Investigation of Fault Triggers in Android Operating System.
PRDC
Fangyun Qin, Zheng Zheng, Xiaodan Li, Yu Qiao, Kishor S. Trivedi
2016 — conf
An Empirical Study of Software Aging Manifestations in Android.
ISSRE Workshops
Yu Qiao, Zheng Zheng, Fangyun Qin
2015 C conf
Cross-Project Aging Related Bug Prediction.
QRS
Fangyun Qin, Zheng Zheng, Chenggang Bai, Yu Qiao, Zhenyu Zhang, Cheng Chen