| A general software defect-proneness prediction framework Q Song, Z Jia, M Shepperd, S Ying, J Liu IEEE transactions on software engineering 37 (3), 356-370, 2010 | 507 | 2010 |
| Dictionary learning based software defect prediction XY Jing, S Ying, ZW Zhang, SS Wu, J Liu Proceedings of the 36th international conference on software engineering …, 2014 | 273 | 2014 |
| Software defect prediction based on kernel PCA and weighted extreme learning machine Z Xu, J Liu, X Luo, Z Yang, Y Zhang, P Yuan, Y Tang, T Zhang Information and Software Technology 106, 182-200, 2019 | 187 | 2019 |
| The impact of feature selection on defect prediction performance: An empirical comparison Z Xu, J Liu, Z Yang, G An, X Jia 2016 IEEE 27th international symposium on software reliability engineering …, 2016 | 169 | 2016 |
| Repocoder: Repository-level code completion through iterative retrieval and generation F Zhang, B Chen, Y Zhang, J Keung, J Liu, D Zan, Y Mao, JG Lou, ... arXiv preprint arXiv:2303.12570, 2023 | 162 | 2023 |
| Syncobert: Syntax-guided multi-modal contrastive pre-training for code representation X Wang, Y Wang, F Mi, P Zhou, Y Wan, X Liu, L Li, H Wu, J Liu, X Jiang arXiv preprint arXiv:2108.04556, 2021 | 121 | 2021 |
| Cross-version defect prediction via hybrid active learning with kernel principal component analysis Z Xu, J Liu, X Luo, T Zhang 2018 IEEE 25th International Conference on Software Analysis, Evolution and …, 2018 | 81 | 2018 |
| MICHAC: Defect prediction via feature selection based on maximal information coefficient with hierarchical agglomerative clustering Z Xu, J Xuan, J Liu, X Cui 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and …, 2016 | 81 | 2016 |
| Scalable tag recommendation for software information sites P Zhou, J Liu, Z Yang, G Zhou 2017 IEEE 24th international conference on software analysis, evolution and …, 2017 | 80 | 2017 |
| 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, 1039-1062, 2019 | 78 | 2019 |
| ReInceptionE: relation-aware inception network with joint local-global structural information for knowledge graph embedding Z Xie, G Zhou, J Liu, X Huang Proceedings of the 58th annual meeting of the association for computational …, 2020 | 71 | 2020 |
| LDFR: Learning deep feature representation for software defect prediction Z Xu, S Li, J Xu, J Liu, X Luo, Y Zhang, T Zhang, J Keung, Y Tang Journal of Systems and Software 158, 110402, 2019 | 68 | 2019 |
| 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 | 59 | 2017 |
| Compilable neural code generation with compiler feedback X Wang, Y Wang, Y Wan, F Mi, Y Li, P Zhou, J Liu, H Wu, X Jiang, Q Liu arXiv preprint arXiv:2203.05132, 2022 | 57 | 2022 |
| A comprehensive comparative study of clustering-based unsupervised defect prediction models Z Xu, L Li, M Yan, J Liu, X Luo, J Grundy, Y Zhang, X Zhang Journal of Systems and Software 172, 110862, 2021 | 56 | 2021 |
| 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 | 54 | 2019 |
| Is deep learning better than traditional approaches in tag recommendation for software information sites? P Zhou, J Liu, X Liu, Z Yang, J Grundy Information and software technology 109, 1-13, 2019 | 52 | 2019 |
| A novel knowledge graph embedding based API recommendation method for Mashup development X Wang, X Liu, J Liu, X Chen, H Wu World Wide Web 24 (3), 869-894, 2021 | 51 | 2021 |
| 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 | 48 | 2019 |
| On improving the accuracy with auto-encoder on conjunctivitis W Li, X Liu, J Liu, P Chen, S Wan, X Cui Applied Soft Computing 81, 105489, 2019 | 45 | 2019 |
