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Meng Yan (鄢萌)
Meng Yan (鄢萌)
cqu.edu.cn의 이메일 확인됨 - 홈페이지
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A two-phase transfer learning model for cross-project defect prediction
C Liu, D Yang, X Xia, M Yan, X Zhang
Information and Software Technology 107, 125-136, 2019
1452019
Improving Code Search with Co-Attentive Representation Learning
J Shuai, L Xu, C Liu, M Yan, X Xia, Y Lei
Proceedings of the 28th International Conference on Program Comprehension …, 2020
1192020
File-level defect prediction: Unsupervised vs. supervised models
M Yan, Y Fang, D Lo, X Xia, X Zhang
Empirical Software Engineering and Measurement (ESEM), 2017 ACM/IEEE …, 2017
982017
Automated classification of software change messages by semi-supervised Latent Dirichlet Allocation
Y Fu, M Yan, X Zhang, L Xu, D Yang, JD Kymer
Information and Software Technology 57, 369-377, 2015
882015
Just-in-time defect identification and localization: A two-phase framework
M Yan, X Xia, Y Fan, AE Hassan, D Lo, S Li
IEEE Transactions on Software Engineering 48 (1), 82-101, 2020
862020
Automating change-level self-admitted technical debt determination
M Yan, X Xia, E Shihab, D Lo, J Yin, X Yang
IEEE Transactions on Software Engineering 45 (12), 1211-1229, 2018
862018
Duplicate Bug Report Detection Using Dual-Channel Convolutional Neural Networks
J He, L Xu, M Yan, X Xia, Y Lei
Proceedings of the 28th International Conference on Program Comprehension …, 2020
832020
Improving ChatGPT Prompt for Code Generation
C Liu, X Bao, H Zhang, N Zhang, H Hu, X Zhang, M Yan
arXiv preprint arXiv:2305.08360, 2023
762023
Which non-functional requirements do developers focus on? an empirical study on stack overflow using topic analysis
J Zou, L Xu, W Guo, M Yan, D Yang, X Zhang
2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, 446-449, 2015
672015
Automatically classifying software changes via discriminative topic model: Supporting multi-category and cross-project
M Yan, Y Fu, X Zhang, D Yang, L Xu, JD Kymer
Journal of Systems and Software 113, 296-308, 2016
602016
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
582021
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
562021
Automating just-in-time comment updating
Z Liu, X Xia, M Yan, S Li
Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020
542020
DeepScaling: microservices autoscaling for stable CPU utilization in large scale cloud systems
Z Wang, S Zhu, J Li, W Jiang, KK Ramakrishnan, Y Zheng, M Yan, ...
Proceedings of the 13th Symposium on Cloud Computing, 16-30, 2022
492022
A study of effectiveness of deep learning in locating real faults
Z Zhang, Y Lei, X Mao, M Yan, L Xu, X Zhang
Information and Software Technology 131, 106486, 2021
482021
Reentrancy vulnerability detection and localization: A deep learning based two-phase approach
Z Zhang, Y Lei, M Yan, Y Yu, J Chen, S Wang, X Mao
Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022
462022
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, 2021
412021
A component recommender for bug reports using Discriminative Probability Latent Semantic Analysis
M Yan, X Zhang, D Yang, L Xu, JD Kymer
Information and Software Technology 73, 37-51, 2016
412016
Software quality assessment model: a systematic mapping study
M YAN, X XIA, X ZHANG, L XU, D YANG, S LI
SCIENCE CHINA Information Sciences 62 (191101), 1-191101, 2019
402019
A universal data augmentation approach for fault localization
H Xie, Y Lei, M Yan, Y Yu, X Xia, X Mao
Proceedings of the 44th International Conference on Software Engineering, 48-60, 2022
362022
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