Supervised representation learning approach for cross-project aging-related bug prediction X Wan, Z Zheng, F Qin, Y Qiao, KS Trivedi
2019 IEEE 30th International Symposium on Software Reliability Engineering …, 2019
24 2019 An empirical study of factors affecting cross-project aging-related bug prediction with TLAP F Qin, X Wan, B Yin
Software Quality Journal 28, 107-134, 2020
17 2020 SPE X Wan, Z Zheng, Y Liu
IEEE Transactions on Reliability 71 (2), 865-879, 2022
12 2022 Predicting aging-related bugs using network analysis on aging-related dependency networks F Qin, Z Zheng, X Wan, Z Liu, Z Shi
IEEE Transactions on Emerging Topics in Computing 11 (3), 566-579, 2023
6 2023 Data complexity: a new perspective for analyzing the difficulty of defect prediction tasks X Wan, Z Zheng, F Qin, X Lu
ACM Transactions on Software Engineering and Methodology 33 (6), 1-45, 2024
3 2024 AgentFuzz: Fuzzing for deep reinforcement learning systems T Li, X Wan, MM Özbek
2022 IEEE International Symposium on Software Reliability Engineering …, 2022
3 2022 Coverage-guided fuzzing for deep reinforcement learning systems X Wan, T Li, W Lin, Y Cai, Z Zheng
Journal of Systems and Software 210, 111963, 2024
2 2024 Adjusted Trust Score: A Novel Approach for Estimating the Trustworthiness of Software Defect Prediction Models X Wan, Z Zheng, F Qin, X Lu, K Qiu
IEEE Transactions on Reliability, 2024
1 2024 DRLFailureMonitor: A Dynamic Failure Monitoring Approach for Deep Reinforcement Learning System Y Cai, X Wan, Z Liu, Z Zheng
2024 IEEE 35th International Symposium on Software Reliability Engineering …, 2024
2024 A Theoretical Analysis on the Impacts of Misestimated Test Cases Y Xu, B Yin, X Wan, C Li, Z Zheng
2018 5th International Conference on Dependable Systems and Their …, 2018
2018 
Zheng Zheng北京航空航天大学 教授Vahvistettu sähköpostiosoite verkkotunnuksessa buaa.edu.cn