COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction S Feng, J Keung, X Yu, Y Xiao, KE Bennin, MA Kabir, M Zhang Information and Software Technology 129, 106432, 2021 | 95 | 2021 |
Investigation on the stability of SMOTE-based oversampling techniques in software defect prediction S Feng, J Keung, X Yu, Y Xiao, M Zhang Information and Software Technology 139, 106662, 2021 | 86 | 2021 |
Cross project defect prediction via balanced distribution adaptation based transfer learning Z Xu, S Pang, T Zhang, XP Luo, J Liu, YT Tang, X Yu, L Xue Journal of Computer Science and Technology 34 (5), 1039-1062, 2019 | 71 | 2019 |
A multi-modal transformer-based code summarization approach for smart contracts Z Yang, J Keung, X Yu, X Gu, Z Wei, X Ma, M Zhang 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC …, 2021 | 65 | 2021 |
Learning from imbalanced data for predicting the number of software defects X Yu, J Liu, Z Yang, X Jia, Q Ling, S Ye 2017 IEEE 28th international symposium on software reliability engineering …, 2017 | 56 | 2017 |
Improving ranking-oriented defect prediction using a cost-sensitive ranking SVM X Yu, J Liu, JW Keung, Q Li, KE Bennin, Z Xu, J Wang, X Cui IEEE Transactions on Reliability 69 (1), 139-153, 2019 | 50 | 2019 |
An empirical study of learning to rank techniques for effort-aware defect prediction X Yu, KE Bennin, J Liu, JW Keung, X Yin, Z Xu 2019 IEEE 26th International Conference on Software Analysis, Evolution and …, 2019 | 46 | 2019 |
Cross-company defect prediction via semi-supervised clustering-based data filtering and MSTrA-based transfer learning X Yu, M Wu, Y Jian, KE Bennin, M Fu, C Ma Soft Computing 22 (10), 3461-3472, 2018 | 44 | 2018 |
A cloud‐based taxi trace mining framework for smart city J Liu, X Yu, Z Xu, KKR Choo, L Hong, X Cui Software: Practice and Experience 47 (8), 1081-1094, 2017 | 41 | 2017 |
Improving Ponzi scheme contract detection using multi-channel TextCNN and transformer Y Chen, H Dai, X Yu, W Hu, Z Xie, C Tan Sensors 21 (19), 6417, 2021 | 39 | 2021 |
Predicting the precise number of software defects: Are we there yet? X Yu, J Keung, Y Xiao, S Feng, F Li, H Dai Information and Software Technology 146, 106847, 2022 | 35 | 2022 |
The Bayesian Network based program dependence graph and its application to fault localization X Yu, J Liu, Z Yang, X Liu Journal of Systems and Software 134, 44-53, 2017 | 31 | 2017 |
Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information F Zhang, X Yu, J Keung, F Li, Z Xie, Z Yang, C Ma, Z Zhang Information and Software Technology 148, 106922, 2022 | 29 | 2022 |
On the significance of category prediction for code-comment synchronization Y Zhen, JW KEUNG, YU Xiao, X Yan, JIN Zhi, J ZHANG ACM Transactions on Software Engineering and Methodology 32 (2), 1-41, 2023 | 28 | 2023 |
Scalable and parallel sequential pattern mining using spark X Yu, Q Li, J Liu World Wide Web 22 (1), 295-324, 2019 | 28 | 2019 |
The impact of feature selection techniques on effort‐aware defect prediction: An empirical study F Li, W Lu, JW Keung, X Yu, L Gong, J Li IET Software, 2023 | 20 | 2023 |
CASMS: Combining clustering with attention semantic model for identifying security bug reports X Ma, J Keung, Z Yang, X Yu, Y Li, H Zhang Information and Software Technology 147, 106906, 2022 | 18 | 2022 |
Finding the best learning to rank algorithms for effort-aware defect prediction X Yu, H Dai, L Li, X Gu, JW Keung, KE Bennin, F Li, J Liu Information and Software Technology, 107165, 2023 | 15 | 2023 |
AComNN: Attention enhanced Compound Neural Network for financial time-series forecasting with cross-regional features Z Yang, J Keung, MA Kabir, X Yu, Y Tang, M Zhang, S Feng Applied Soft Computing 111, 107649, 2021 | 14 | 2021 |
Improving effort-aware defect prediction by directly learning to rank software modules X Yu, J Rao, W Hu, J Keung, J Zhou, J Xiang Information and Software Technology, 107250, 2023 | 12 | 2023 |