Xiaohui Wan
Orcid: 0000-0001-6498-8570
According to our database1,
Xiaohui Wan authored at least 16 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
ARFT-Transformer: Modeling Metric Dependencies for Cross-Project Aging-Related Bug Prediction.
CoRR, January, 2026
ARFT-Transformer: Modeling metric dependencies for cross-project aging-related bug prediction.
J. Syst. Softw., 2026
2025
Towards Fault-Tolerant Deep Reinforcement Learning Systems: A Framework Based on N-Version Programming.
Proceedings of the 25th International Conference on Software Quality, 2025
2024
Adjusted Trust Score: A Novel Approach for Estimating the Trustworthiness of Software Defect Prediction Models.
IEEE Trans. Reliab., December, 2024
Data Complexity: A New Perspective for Analyzing the Difficulty of Defect Prediction Tasks.
ACM Trans. Softw. Eng. Methodol., July, 2024
J. Syst. Softw., April, 2024
DRLFailureMonitor: A Dynamic Failure Monitoring Approach for Deep Reinforcement Learning System.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024
Proceedings of the Twelfth International Conference on Advanced Cloud and Big Data, 2024
2023
Predicting Aging-Related Bugs Using Network Analysis on Aging-Related Dependency Networks.
IEEE Trans. Emerg. Top. Comput., 2023
J. Intell. Fuzzy Syst., 2023
A novel adaptive boundary weighted and synthetic minority oversampling algorithm for imbalanced datasets.
J. Intell. Fuzzy Syst., 2023
2022
IEEE Trans. Reliab., 2022
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022
2020
An empirical study of factors affecting cross-project aging-related bug prediction with TLAP.
Softw. Qual. J., 2020
2019
Supervised Representation Learning Approach for Cross-Project Aging-Related Bug Prediction.
Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019
2018
Proceedings of the 5th International Conference on Dependable Systems and Their Applications, 2018