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ORCIDMeng Yan 0001
Person information
- affiliation: Chongqing University, School of Big Data & Software Engineering, China
- affiliation (2017 - 2019): Zhejiang University, Hangzhou, China
- affiliation (PhD 2017): Chongqing University, China
Other persons with the same name
- Meng Yan — disambiguation page
- Meng Yan 0002
![[0000-0001-7789-3124]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7789-3124")
— Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China - Meng Yan 0003 — Beijing Jiaotong University, School of Computer and Information Technology, China
- Meng Yan 0004 — Harbin Institute of Technology, School of Electronics and Information Engineering, China
- Meng Yan 0005 — Fujitsu R&D Center, Beijing, China
- Meng Yan 0006 — Northwestern Polytechnical University, Xi'an, China
- Meng Yan 0007 — University of Science and Technology of China, Hefei, China
- Meng Yan 0008 — Nankai University, College of Computer, Nankai-Baidu Joint Laboratory, Tianjin, China
- Meng Yan 0009 — Central South University, School of Computer Science and Engineering, Changsha, China
- Meng Yan 0010 — China Three Gorges University, Institute of Nonlinear Complex Systems, Yichang, China
- Meng Yan 0011 — Hebei University of Technology, School of Electronics and Information Engineering, Tianjin Key Laboratory of Electronic Materials and Devices, China
- Meng Yan 0012 — Yunnan University, School of Software, Kunming, China
- Meng Yan 0013 — Xidian University, School of Computer Science and Technology, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Meng Yan 0014 — Shandong Normal University, School of Psychology, Jinan, China
- Meng Yan 0015 — Southwest Jiaotong University, Department of Bridge Engineering, Chengdu, China
- Meng Yan 0016 — North China Electric Power University, School of Electrical and Electronic Engineering, Beijing, China
- Meng Yan 0017 — Hubei University of Technology, School of Computing, Wuhan, China
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2020 – today
- 2024
[j39]Chao Liu, Runfeng Cai, Yiqun Zhou, Xin Chen, Haibo Hu, Meng Yan:
Understanding the implementation issues when using deep learning frameworks. Inf. Softw. Technol. 166: 107367 (2024)- [j38]Zhongyang Deng, Ling Xu, Chao Liu, Luwen Huangfu, Meng Yan:
Code semantic enrichment for deep code search. J. Syst. Softw. 207: 111856 (2024) - [j37]Ying Fu, Meng Yan, Pinjia He, Chao Liu, Xiaohong Zhang, Dan Yang:
End-to-end log statement generation at block-level. J. Syst. Softw. 216: 112146 (2024) - [c45]Zhipeng Liu, Meng Yan, Zhipeng Gao, Dong Li, Xiaohong Zhang, Dan Yang:
AW4C: A Commit-Aware C Dataset for Actionable Warning Identification. MSR 2024: 133-137 - [c44]Chao Liu, Xindong Zhang, Hongyu Zhang, Zhiyuan Wan, Zhan Huang, Meng Yan:
An Empirical Study of Code Search in Intelligent Coding Assistant: Perceptions, Expectations, and Directions. SIGSOFT FSE Companion 2024: 283-293 - 2023
- [j36]Ying Fu, Meng Yan, Zhou Xu, Xin Xia, Xiaohong Zhang, Dan Yang:
An empirical study of the impact of log parsers on the performance of log-based anomaly detection. Empir. Softw. Eng. 28(1): 6 (2023) - [j35]Kunsong Zhao, Zhou Xu, Meng Yan, Tao Zhang, Lei Xue, Ming Fan, Jacky Keung:
The impact of class imbalance techniques on crashing fault residence prediction models. Empir. Softw. Eng. 28(2): 49 (2023) - [j34]Lingfeng Fu, Yan Lei, Meng Yan, Ling Xu, Zhou Xu, Xiaohong Zhang:
MetaFL: Metamorphic fault localisation using weakly supervised deep learning. IET Softw. 17(2): 137-153 (2023) - [j33]Hongyan Li, Meng Yan, Weifeng Sun, Xiao Liu, Yunsong Wu:
A first look at bug report templates on GitHub. J. Syst. Softw. 202: 111709 (2023) - [j32]Zhuo Zhang, Yan Lei, Ting Su, Meng Yan, Xiaoguang Mao, Yue Yu:
Influential Global and Local Contexts Guided Trace Representation for Fault Localization. ACM Trans. Softw. Eng. Methodol. 32(3): 78:1-78:27 (2023) - [j31]Weifeng Sun, Meng Yan, Zhongxin Liu, Xin Xia, Yan Lei, David Lo:
Revisiting the Identification of the Co-evolution of Production and Test Code. ACM Trans. Softw. Eng. Methodol. 32(6): 152:1-152:37 (2023) - [j30]Zhongxin Liu, Xin Xia, David Lo, Meng Yan, Shanping Li:
Just-In-Time Obsolete Comment Detection and Update. IEEE Trans. Software Eng. 49(1): 1-23 (2023) - [j29]Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia, David Lo:
Context-Aware Neural Fault Localization. IEEE Trans. Software Eng. 49(7): 3939-3954 (2023) - [j28]Weifeng Sun, Meng Yan, Zhongxin Liu, David Lo:
Robust Test Selection for Deep Neural Networks. IEEE Trans. Software Eng. 49(12): 5250-5278 (2023) - [c43]Xue Chen, Yuxing Hu, Xiaoxia Hong, Zhaohan Zhu, Yang Song, Juan Liu, Peng Song, Wei Xiong, Meng Yan:
Intelligent Deposit Product Recommendation for Flexible Employees of Housing Provident Fund Based on Random Forest. FAIML 2023: 261-265 - [c42]Tongxin Lu, Xiaohong Zhang, Ziliang Wang, Meng Yan:
A Feature Distribution Smoothing Network Based on Gaussian Distribution for QoS Prediction. ICWS 2023: 687-694 - [c41]Weifeng Sun, Hongyan Li, Meng Yan, Yan Lei, Hongyu Zhang:
Revisiting and Improving Retrieval-Augmented Deep Assertion Generation. ASE 2023: 1123-1135 - [c40]Zhenting Guo, Meng Yan, Hongyan Li, Zhezhe Chen, Weifeng Sun:
Just-In-Time Method Name Updating With Heuristics and Neural Model. QRS 2023: 707-718 - [c39]Yisheng Xia, Weifeng Sun, Meng Yan, Lei Xu, Dan Yang:
An Adaptive Partition-Based Approach for Adaptive Random Testing on Real Programs. SANER 2023: 668-672 - [i8]Chao Liu, Xuanlin Bao, Hongyu Zhang, Neng Zhang, Haibo Hu, Xiaohong Zhang, Meng Yan:
Improving ChatGPT Prompt for Code Generation. CoRR abs/2305.08360 (2023) - [i7]Ziliang Wang, Xiaohong Zhang, Sheng Huang, Wei Zhang, Dan Yang, Meng Yan:
Probabilistic Deep Supervision Network: A Noise-Resilient Approach for QoS Prediction. CoRR abs/2308.02580 (2023) - [i6]Weifeng Sun, Hongyan Li, Meng Yan, Yan Lei, Hongyu Zhang:
Revisiting and Improving Retrieval-Augmented Deep Assertion Generation. CoRR abs/2309.10264 (2023) - [i5]Ziliang Wang, Xiaohong Zhang, Meng Yan:
A Dual Latent State Learning Approach: Exploiting Regional Network Similarities for QoS Prediction. CoRR abs/2310.05988 (2023) - 2022
- [j27]Kunsong Zhao, Zhou Xu, Meng Yan, Lei Xue, Wei Li, Gemma Catolino:
A compositional model for effort-aware Just-In-Time defect prediction on android apps. IET Softw. 16(3): 259-278 (2022) - [j26]Xiao Liu, Zhou Xu, Dan Yang, Meng Yan, Weihan Zhang, Haohan Zhao, Lei Xue, Ming Fan:
An unsupervised cross project model for crashing fault residence identification. IET Softw. 16(6): 630-646 (2022) - [j25]Ziliang Wang, Xiaohong Zhang, Meng Yan, Ling Xu, Dan Yang:
HSA-Net: Hidden-State-Aware Networks for High-Precision QoS Prediction. IEEE Trans. Parallel Distributed Syst. 33(6): 1421-1435 (2022) - [j24]Zhou Xu, Kunsong Zhao, Tao Zhang, Chunlei Fu, Meng Yan, Zhiwen Xie, Xiaohong Zhang, Gemma Catolino:
Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding. IEEE Trans. Reliab. 71(1): 204-220 (2022) - [j23]Yan Lei, Huan Xie, Tao Zhang, Meng Yan, Zhou Xu, Chengnian Sun:
Feature-FL: Feature-Based Fault Localization. IEEE Trans. Reliab. 71(1): 264-283 (2022) - [j22]Ruifeng Duan, Haitao Xu, Yuanrui Fan, Meng Yan:
The Impact of Duplicate Changes on Just-in-Time Defect Prediction. IEEE Trans. Reliab. 71(3): 1294-1308 (2022) - [j21]Bei Wang, Ling Xu, Meng Yan, Chao Liu, Ling Liu:
Multi-Dimension Convolutional Neural Network for Bug Localization. IEEE Trans. Serv. Comput. 15(3): 1649-1663 (2022) - [j20]Meng Yan, Xin Xia, Yuanrui Fan, Ahmed E. Hassan, David Lo, Shanping Li:
Just-In-Time Defect Identification and Localization: A Two-Phase Framework. IEEE Trans. Software Eng. 48(2): 82-101 (2022) - [c38]Ziliang Wang, Shiyi Zhu, Jianguo Li, Wei Jiang, K. K. Ramakrishnan, Yangfei Zheng, Meng Yan, Xiaohong Zhang, Alex X. Liu:
DeepScaling: microservices autoscaling for stable CPU utilization in large scale cloud systems. SoCC 2022: 16-30 - [c37]Huan Xie, Yan Lei, Meng Yan, Yue Yu, Xin Xia, Xiaoguang Mao:
A Universal Data Augmentation Approach for Fault Localization. ICSE 2022: 48-60 - [c36]Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia:
Improving Fault Localization Using Model-domain Synthesized Failing Test Generation. ICSME 2022: 199-210 - [c35]Yufu Chen, Meng Yan, Dan Yang, Xiaohong Zhang, Ziliang Wang:
Deep Attentive Anomaly Detection for Microservice Systems with Multimodal Time-Series Data. ICWS 2022: 373-378 - [c34]Yanping Yang, Ling Xu, Meng Yan, Zhou Xu, Zhongyang Deng:
A Naming Pattern Based Approach for Method Name Recommendation. ISSRE 2022: 344-354 - [c33]Kesu Wang, Meng Yan, He Zhang, Haibo Hu:
Unified abstract syntax tree representation learning for cross-language program classification. ICPC 2022: 390-400 - [c32]Zhuo Zhang, Yan Lei, Meng Yan, Yue Yu, Jiachi Chen, Shangwen Wang, Xiaoguang Mao:
Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach. ASE 2022: 83:1-83:13 - [c31]Ying Fu, Meng Yan, Jian Xu, Jianguo Li, Zhongxin Liu, Xiaohong Zhang, Dan Yang:
Investigating and improving log parsing in practice. ESEC/SIGSOFT FSE 2022: 1566-1577 - [c30]Chao Liu, Xuanlin Bao, Xin Xia, Meng Yan, David Lo, Ting Zhang:
CodeMatcher: a tool for large-scale code search based on query semantics matching. ESEC/SIGSOFT FSE 2022: 1642-1646 - [c29]Yan Lei, Chunyan Liu, Huan Xie, Sheng Huang, Meng Yan, Zhou Xu:
BCL-FL: A Data Augmentation Approach with Between-Class Learning for Fault Localization. SANER 2022: 289-300 - [c28]Zhongyang Deng, Ling Xu, Chao Liu, Meng Yan, Zhou Xu, Yan Lei:
Fine-grained Co-Attentive Representation Learning for Semantic Code Search. SANER 2022: 396-407 - [i4]Kesu Wang, Meng Yan, He Zhang, Haibo Hu:
Unified Abstract Syntax Tree Representation Learning for Cross-Language Program Classification. CoRR abs/2205.00424 (2022) - 2021
- [j19]Bin Tang, Meng Yan, Neng Zhang, Ling Xu, Xiaohong Zhang, Haijun Ren:
Co-attentive representation learning for web services classification. Expert Syst. Appl. 180: 115070 (2021) - [j18]Zhou Xu, Tao Zhang, Jacky Keung, Meng Yan, Xiapu Luo, Xiaohong Zhang, Ling Xu, Yutian Tang:
Feature selection and embedding based cross project framework for identifying crashing fault residence. Inf. Softw. Technol. 131: 106452 (2021) - [j17]Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Ling Xu, Xiaohong Zhang:
A study of effectiveness of deep learning in locating real faults. Inf. Softw. Technol. 131: 106486 (2021) - [j16]Kunsong Zhao, Zhou Xu, Meng Yan, Tao Zhang, Dan Yang, Wei Li:
A comprehensive investigation of the impact of feature selection techniques on crashing fault residence prediction models. Inf. Softw. Technol. 139: 106652 (2021) - [j15]Zhou Xu, Li Li, Meng Yan, Jin Liu, Xiapu Luo, John Grundy, Yifeng Zhang, Xiaohong Zhang:
A comprehensive comparative study of clustering-based unsupervised defect prediction models. J. Syst. Softw. 172: 110862 (2021) - [j14]Wenyan Zhang, Ling Xu, Meng Yan, Ziliang Wang, Chunlei Fu:
A Probability Distribution and Location-aware ResNet Approach for QoS Prediction. J. Web Eng. 20(4): 1189-1228 (2021) - [j13]Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Ling Xu, Junhao Wen:
Improving deep-learning-based fault localization with resampling. J. Softw. Evol. Process. 33(3) (2021) - [j12]Kunsong Zhao, Zhou Xu, Tao Zhang, Yutian Tang, Meng Yan:
Simplified Deep Forest Model Based Just-in-Time Defect Prediction for Android Mobile Apps. IEEE Trans. Reliab. 70(2): 848-859 (2021) - [c27]Zhaolin Luo, Ling Xu, Zhou Xu, Meng Yan, Yan Lei, Can Li:
Contextual-Semantic-Aware Linkable Knowledge Prediction in Stack Overflow via Self-Attention. ISSRE 2021: 115-126 - [c26]Yuxing Hu, Meng Yan, Zhongxin Liu, Qiuyuan Chen, Bei Wang:
Improving Code Summarization Through Automated Quality Assurance. ISSRE 2021: 486-497 - [c25]Kunsong Zhao, Jin Liu, Zhou Xu, Li Li, Meng Yan, Jiaojiao Yu, Yuxuan Zhou:
Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set. ICPC 2021: 242-252 - [c24]Kunsong Zhao, Zhou Xu, Meng Yan, Yutian Tang, Ming Fan, Gemma Catolino:
Just-in-time defect prediction for Android apps via imbalanced deep learning model. SAC 2021: 1447-1454 - [c23]Deheng Yang, Yan Lei, Xiaoguang Mao, David Lo, Huan Xie, Meng Yan:
Is the Ground Truth Really Accurate? Dataset Purification for Automated Program Repair. SANER 2021: 96-107 - [c22]Bei Wang, Meng Yan, Zhongxin Liu, Ling Xu, Xin Xia, Xiaohong Zhang, Dan Yang:
Quality Assurance for Automated Commit Message Generation. SANER 2021: 260-271 - [c21]Ling Xu, Huanhuan Yang, Chao Liu, Jianhang Shuai, Meng Yan, Yan Lei, Zhou Xu:
Two-Stage Attention-Based Model for Code Search with Textual and Structural Features. SANER 2021: 342-353 - [c20]Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang:
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. SANER 2021: 458-469 - [i3]Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang:
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. CoRR abs/2104.01032 (2021) - [i2]Kunsong Zhao, Jin Liu, Zhou Xu, Li Li, Meng Yan, Jiaojiao Yu, Yuxuan Zhou:
Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set. CoRR abs/2104.01768 (2021) - 2020
- [j11]Zhou Xu, Kunsong Zhao, Meng Yan, Peipei Yuan, Ling Xu, Yan Lei, Xiaohong Zhang:
Imbalanced metric learning for crashing fault residence prediction. J. Syst. Softw. 170: 110763 (2020) - [j10]Can Li, Ling Xu, Meng Yan, Yan Lei:
TagDC: A tag recommendation method for software information sites with a combination of deep learning and collaborative filtering. J. Syst. Softw. 170: 110783 (2020) - [c19]Kun Yin, Meng Yan, Ling Xu, Zhou Xu, Zhao Li, Dan Yang, Xiaohong Zhang:
Improving Log-Based Anomaly Detection with Component-Aware Analysis. ICSME 2020: 667-671 - [c18]Jianjun He, Ling Xu, Yuanrui Fan, Zhou Xu, Meng Yan, Yan Lei:
Deep Learning Based Valid Bug Reports Determination and Explanation. ISSRE 2020: 184-194 - [c17]Jianjun He, Ling Xu, Meng Yan, Xin Xia, Yan Lei:
Duplicate Bug Report Detection Using Dual-Channel Convolutional Neural Networks. ICPC 2020: 117-127 - [c16]Jianhang Shuai, Ling Xu, Chao Liu, Meng Yan, Xin Xia, Yan Lei:
Improving Code Search with Co-Attentive Representation Learning. ICPC 2020: 196-207 - [c15]Zhongxin Liu, Xin Xia, Meng Yan, Shanping Li:
Automating Just-In-Time Comment Updating. ASE 2020: 585-597 - [c14]Meng Yan, Xin Xia, Yuanrui Fan, David Lo, Ahmed E. Hassan, Xindong Zhang:
Effort-aware just-in-time defect identification in practice: a case study at Alibaba. ESEC/SIGSOFT FSE 2020: 1308-1319 - [c13]Boao Li, Meng Yan, Xin Xia, Xing Hu, Ge Li, David Lo:
DeepCommenter: a deep code comment generation tool with hybrid lexical and syntactical information. ESEC/SIGSOFT FSE 2020: 1571-1575 - [c12]Fangcheng Qiu, Meng Yan, Xin Xia, Xinyu Wang, Yuanrui Fan, Ahmed E. Hassan, David Lo:
JITO: a tool for just-in-time defect identification and localization. ESEC/SIGSOFT FSE 2020: 1586-1590 - [i1]Wenyan Zhang, Ling Xu, Meng Yan, Ziliang Wang, Chunlei Fu:
A Probability Distribution and Location-aware ResNet Approach for QoS Prediction. CoRR abs/2011.07780 (2020)
2010 – 2019
- 2019
- [j9]Meng Yan, Xin Xia, Xiaohong Zhang, Ling Xu, Dan Yang, Shanping Li:
Software quality assessment model: a systematic mapping study. Sci. China Inf. Sci. 62(9): 191101:1-191101:18 (2019) - [j8]Meng Yan, Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li:
Characterizing and identifying reverted commits. Empir. Softw. Eng. 24(4): 2171-2208 (2019) - [j7]Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang:
A two-phase transfer learning model for cross-project defect prediction. Inf. Softw. Technol. 107: 125-136 (2019) - [j6]Meng Yan, Xin Xia, Emad Shihab, David Lo, Jianwei Yin, Xiaohu Yang:
Automating Change-Level Self-Admitted Technical Debt Determination. IEEE Trans. Software Eng. 45(12): 1211-1229 (2019) - [c11]Can Li, Ling Xu, Meng Yan, Jianjun He, Zuli Zhang:
TagDeepRec: Tag Recommendation for Software Information Sites Using Attention-Based Bi-LSTM. KSEM (2) 2019: 11-24 - 2018
- [c10]Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang:
Cross-Project Change-Proneness Prediction. COMPSAC (1) 2018: 64-73 - [c9]Ling Xu, Bei Wang, Ling Liu, Mo Zhou, Shengping Liao, Meng Yan:
Misclassification Cost-Sensitive Software Defect Prediction. IRI 2018: 256-263 - 2017
- [j5]Meng Yan, Xiaohong Zhang, Chao Liu, Ling Xu, Mengning Yang, Dan Yang:
Automated change-prone class prediction on unlabeled dataset using unsupervised method. Inf. Softw. Technol. 92: 1-16 (2017) - [c8]Meng Yan, Xiaohong Zhang, Ling Xu, Haibo Hu, Song Sun, Xin Xia:
Revisiting the Correlation Between Alerts and Software Defects: A Case Study on MyFaces, Camel, and CXF. COMPSAC (1) 2017: 103-108 - [c7]Meng Yan, Yicheng Fang, David Lo, Xin Xia, Xiaohong Zhang:
File-Level Defect Prediction: Unsupervised vs. Supervised Models. ESEM 2017: 344-353 - [c6]Meng Yan, Xiaohong Zhang, Chao Liu, Jie Zou, Ling Xu, Xin Xia:
Learning to aggregate: an automated aggregation method for software quality model. ICSE (Companion Volume) 2017: 268-270 - [c5]Meng Yan, Xin Xia, Xiaohong Zhang, Dan Yang, Ling Xu:
Automating Aggregation for Software Quality Modeling. ICSME 2017: 529-533 - [c4]Meng Yan, Xin Xia, Xiaohong Zhang, Ling Xu, Dan Yang:
A Systematic Mapping Study of Quality Assessment Models for Software Products. SATE 2017: 63-71 - 2016
- [j4]Meng Yan, Xiaohong Zhang, Dan Yang, Ling Xu, Jeffrey D. Kymer:
A component recommender for bug reports using Discriminative Probability Latent Semantic Analysis. Inf. Softw. Technol. 73: 37-51 (2016) - [j3]Fei Li, Xiaohong Zhang, Chenqiu Zhao, Meng Yan:
自适应的SILTP算法在运动车辆检测中的研究 (Vehicle Detection Research Based on Adaptive SILTP Algorithm). 计算机科学 43(6): 294-297 (2016) - [j2]Meng Yan, Ying Fu, Xiaohong Zhang, Dan Yang, Ling Xu, Jeffrey D. Kymer:
Automatically classifying software changes via discriminative topic model: Supporting multi-category and cross-project. J. Syst. Softw. 113: 296-308 (2016) - [c3]Meng Yan, Mengning Yang, Chao Liu, Xiaohong Zhang:
Self-learning Change-prone Class Prediction. SEKE 2016: 134-140 - [c2]Jie Zou, Ling Xu, Mengning Yang, Meng Yan, Dan Yang, Xiaohong Zhang:
Duplication Detection for Software Bug Reports based on Topic Model. ICSS 2016: 60-65 - 2015
- [j1]Ying Fu, Meng Yan, Xiaohong Zhang, Ling Xu, Dan Yang, Jeffrey D. Kymer:
Automated classification of software change messages by semi-supervised Latent Dirichlet Allocation. Inf. Softw. Technol. 57: 369-377 (2015) - [c1]Jie Zou, Ling Xu, Weikang Guo, Meng Yan, Dan Yang, Xiaohong Zhang:
Which Non-functional Requirements Do Developers Focus On? An Empirical Study on Stack Overflow Using Topic Analysis. MSR 2015: 446-449
Coauthor Index
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