Noisy-As-Clean: Learning unsupervised denoising from the corrupted image J Xu, Y Huang, MM Cheng, L Liu, F Zhu, Z Xu, L Shao arXiv preprint arXiv:1906.06878, 2020 | 192* | 2020 |
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 IST--Information and Software Technology, 2018 | 177 | 2018 |
The impact of feature selection on defect prediction performance: An empirical comparison Z Xu, J Liu, Z Yang, G An, X Jia ISSRE--International Symposium on Software Reliability Engineering, 309-320, 2016 | 168 | 2016 |
Cross-version defect prediction via hybrid active learning with kernel principal component analysis Z Xu, J Liu, X Luo, T Zhang SANER--International Conference on Software Analysis, Evolution and …, 2018 | 80 | 2018 |
MICHAC: Defect prediction via feature selection based on maximal information coefficient with hierarchical agglomerative clustering Z Xu, J Xuan, J Liu, X Cui SANER--International Conference on Software Analysis, Evolution, and …, 2016 | 78 | 2016 |
Cross Project Defect Prediction via Balanced Distribution Adaptation Based Transfer Learning Z Xu, S Pang, T Zhang, L Xiapu, L Jin, Y Tang, X Yu, L Xue JCST--Journal Of Computer Science and Technology, 2019 | 76 | 2019 |
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, T Yutian JSS--Journal of Systems and Software, 2019 | 67 | 2019 |
Bug Severity Prediction Using Question-and-Answer Pairs from Stack Overflow Y Tan, S Xu, Z Wang, T Zhang, Z Xu, X Luo NASAC--National Software Application Conference, 2019 | 62 | 2019 |
Two-Stage Attention-Based Model for Code Search with Textual and Structural Features L Xu, H Yang, C Liu, J Shuai, M Yan, Y Lei, Z Xu 2021 IEEE International Conference on Software Analysis, Evolution and …, 2021 | 55 | 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 TR--IEEE Transactions on Reliability, 2019 | 51 | 2019 |
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, 2020 | 49 | 2020 |
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 SANER--International Conference on Software Analysis, Evolution and …, 2019 | 46 | 2019 |
Cross Version Defect Prediction with Representative Data via Sparse Subset Selection Z Xu, S Li, Y Tang, X Luo, T Zhang, J Liu, J Xu ICPC--International Conference on Program Comprehension, 2018 | 41 | 2018 |
Simplified deep forest model based just-in-time defect prediction for Android mobile apps K Zhao, Z Xu, T Zhang, Y Tang, M Yan IEEE Transactions on Reliability 70 (2), 848-859, 2021 | 40 | 2021 |
TSTSS: A Two-Stage Training Subset Selection Framework for Cross Version Defect Prediction Z Xu, S Li, X Luo, J Liu, T Zhang, Y Tang, J Xu, P Yuan, J Keung JSS--Journal of Systems and Software, 2019 | 40 | 2019 |
HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation With Dictionary Learning Z Xu, P Yuan, T Zhang, Y Tang, S Li, Z Xia IEEE ACCESS, 2018 | 38 | 2018 |
Effective Prediction of Bug-Fixing Priority via Weighted Graph Convolutional Networks S Fang, Y Tan, T Zhang, Z Xu, H Liu IEEE Transactions on Reliability 70 (2), 563-574, 2021 | 32 | 2021 |
Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding Z Xu, K Zhao, T Zhang, C Fu, M Yan, Z Xie, X Zhang, G Catolino IEEE Transactions on Reliability, 2021 | 29 | 2021 |
Improving Log-Based Anomaly Detection with Component-Aware Analysis K Yin, M Yan, L Xu, Z Xu, Z Li, D Yang, X Zhang 2020 IEEE International Conference on Software Maintenance and Evolution …, 2020 | 29 | 2020 |
A comprehensive investigation of the impact of feature selection techniques on crashing fault residence prediction models K Zhao, Z Xu, M Yan, T Zhang, D Yang, W Li Information and Software Technology 139, 106652, 2021 | 26 | 2021 |