| Deepcpdp: Deep learning based cross-project defect prediction D Chen, X Chen, H Li, J Xie, Y Mu IEEE Access 7, 184832-184848, 2019 | 56 | 2019 |
| ALTRA: Cross-project software defect prediction via active learning and tradaboost Z Yuan, X Chen, Z Cui, Y Mu IEEE Access 8, 30037-30049, 2020 | 39 | 2020 |
| Revisiting heterogeneous defect prediction methods: How far are we? X Chen, Y Mu, K Liu, Z Cui, C Ni Information and Software Technology 130, 106441, 2021 | 26 | 2021 |
| Do different cross‐project defect prediction methods identify the same defective modules? X Chen, Y Mu, Y Qu, C Ni, M Liu, T He, S Liu Journal of Software: Evolution and Process 32 (5), e2234, 2020 | 21 | 2020 |
| Cross-project defect prediction via ASTToken2Vec and BLSTM-based neural network H Li, X Li, X Chen, X Xie, Y Mu, Z Feng 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 11 | 2019 |
| Can test input selection methods for deep neural network guarantee test diversity? A large-scale empirical study C Zhao, Y Mu, X Chen, J Zhao, X Ju, G Wang Information and Software Technology 150, 106982, 2022 | 8 | 2022 |
| Deep learning test optimization method using multi-objective optimization 沐燕舟， 王赞， 陈翔， 陈俊洁， 赵静珂， 王建敏 Journal of Software 33 (7), 2499-2524, 2022 | 3 | 2022 |
| 采用多目标优化的深度学习测试优化方法 沐燕舟， 王赞， 陈翔， 陈俊洁， 赵静珂， 王建敏 软件学报 33 (7), 2499-2524, 2022 | | 2022 |
| HARS: Heuristic-Enhanced Adaptive Randomized Scheduling for Concurrency Testing Y Mu, Z Wang, S Liu, J Sun, J Chen, X Chen 2021 IEEE 21st International Conference on Software Quality, Reliability and …, 2021 | | 2021 |
