Jin Liu
Jin Liu
Professor, Wuhan University
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Cited by
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Proceedings of the 26th Conference on program comprehension, 132-143, 2018
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