Meng Yan

According to our database, Meng Yan authored at least 85 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Understanding the implementation issues when using deep learning frameworks.

Chao Liu, Runfeng Cai, Yiqun Zhou, Xin Chen, Haibo Hu, Meng Yan

Inf. Softw. Technol., February, 2024

Code semantic enrichment for deep code search.

Zhongyang Deng, Ling Xu, Chao Liu, Luwen Huangfu, Meng Yan

J. Syst. Softw., January, 2024

2023

Robust Test Selection for Deep Neural Networks.

Weifeng Sun, Meng Yan, Zhongxin Liu, David Lo

IEEE Trans. Software Eng., December, 2023

Revisiting the Identification of the Co-evolution of Production and Test Code.

Weifeng Sun, Meng Yan, Zhongxin Liu, Xin Xia, Yan Lei, David Lo

ACM Trans. Softw. Eng. Methodol., November, 2023

A first look at bug report templates on GitHub.

Hongyan Li, Meng Yan, Weifeng Sun, Xiao Liu, Yunsong Wu

J. Syst. Softw., August, 2023

Context-Aware Neural Fault Localization.

Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia, David Lo

IEEE Trans. Software Eng., July, 2023

Influential Global and Local Contexts Guided Trace Representation for Fault Localization.

Zhuo Zhang, Yan Lei, Ting Su, Meng Yan, Xiaoguang Mao, Yue Yu

ACM Trans. Softw. Eng. Methodol., May, 2023

MetaFL: Metamorphic fault localisation using weakly supervised deep learning.

Lingfeng Fu, Yan Lei, Meng Yan, Ling Xu, Zhou Xu, Xiaohong Zhang

IET Softw., April, 2023

The impact of class imbalance techniques on crashing fault residence prediction models.

Kunsong Zhao, Zhou Xu, Meng Yan, Tao Zhang, Lei Xue, Ming Fan, Jacky Keung

Empir. Softw. Eng., March, 2023

Just-In-Time Obsolete Comment Detection and Update.

Zhongxin Liu, Xin Xia, David Lo, Meng Yan, Shanping Li

IEEE Trans. Software Eng., 2023

An empirical study of the impact of log parsers on the performance of log-based anomaly detection.

Ying Fu, Meng Yan, Zhou Xu, Xin Xia, Xiaohong Zhang, Dan Yang

Empir. Softw. Eng., 2023

A Dual Latent State Learning Approach: Exploiting Regional Network Similarities for QoS Prediction.

Ziliang Wang, Xiaohong Zhang, Meng Yan

CoRR, 2023

Probabilistic Deep Supervision Network: A Noise-Resilient Approach for QoS Prediction.

Ziliang Wang, Xiaohong Zhang, Sheng Huang, Wei Zhang, Dan Yang, Meng Yan

CoRR, 2023

Improving ChatGPT Prompt for Code Generation.

Chao Liu, Xuanlin Bao, Hongyu Zhang, Neng Zhang, Haibo Hu, Xiaohong Zhang, Meng Yan

CoRR, 2023

An Adaptive Partition-Based Approach for Adaptive Random Testing on Real Programs.

Yisheng Xia, Weifeng Sun, Meng Yan, Lei Xu, Dan Yang

Proceedings of the IEEE International Conference on Software Analysis, 2023

Just-In-Time Method Name Updating With Heuristics and Neural Model.

Zhenting Guo, Meng Yan, Hongyan Li, Zhezhe Chen, Weifeng Sun

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Revisiting and Improving Retrieval-Augmented Deep Assertion Generation.

Weifeng Sun, Hongyan Li, Meng Yan, Yan Lei, Hongyu Zhang

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

A Feature Distribution Smoothing Network Based on Gaussian Distribution for QoS Prediction.

Tongxin Lu, Xiaohong Zhang, Ziliang Wang, Meng Yan

Proceedings of the IEEE International Conference on Web Services, 2023

Intelligent Deposit Product Recommendation for Flexible Employees of Housing Provident Fund Based on Random Forest.

Xue Chen, Yuxing Hu, Xiaoxia Hong, Zhaohan Zhu, Yang Song, Juan Liu, Peng Song, Wei Xiong, Meng Yan

Proceedings of the International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2023

2022

An unsupervised cross project model for crashing fault residence identification.

Xiao Liu, Zhou Xu, Dan Yang, Meng Yan, Weihan Zhang, Haohan Zhao, Lei Xue, Ming Fan

IET Softw., December, 2022

Just-In-Time Defect Identification and Localization: A Two-Phase Framework.

Meng Yan, Xin Xia, Yuanrui Fan, Ahmed E. Hassan, David Lo, Shanping Li

IEEE Trans. Software Eng., 2022

Multi-Dimension Convolutional Neural Network for Bug Localization.

Bei Wang, Ling Xu, Meng Yan, Chao Liu, Ling Liu

IEEE Trans. Serv. Comput., 2022

Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding.

Zhou Xu, Kunsong Zhao, Tao Zhang, Chunlei Fu, Meng Yan, Zhiwen Xie, Xiaohong Zhang, Gemma Catolino

IEEE Trans. Reliab., 2022

Feature-FL: Feature-Based Fault Localization.

Yan Lei, Huan Xie, Tao Zhang, Meng Yan, Zhou Xu, Chengnian Sun

IEEE Trans. Reliab., 2022

The Impact of Duplicate Changes on Just-in-Time Defect Prediction.

Ruifeng Duan, Haitao Xu, Yuanrui Fan, Meng Yan

IEEE Trans. Reliab., 2022

HSA-Net: Hidden-State-Aware Networks for High-Precision QoS Prediction.

Ziliang Wang, Xiaohong Zhang, Meng Yan, Ling Xu, Dan Yang

IEEE Trans. Parallel Distributed Syst., 2022

A compositional model for effort-aware Just-In-Time defect prediction on android apps.

Kunsong Zhao, Zhou Xu, Meng Yan, Lei Xue, Wei Li, Gemma Catolino

IET Softw., 2022

BCL-FL: A Data Augmentation Approach with Between-Class Learning for Fault Localization.

Yan Lei, Chunyan Liu, Huan Xie, Sheng Huang, Meng Yan, Zhou Xu

Proceedings of the IEEE International Conference on Software Analysis, 2022

Fine-grained Co-Attentive Representation Learning for Semantic Code Search.

Zhongyang Deng, Ling Xu, Chao Liu, Meng Yan, Zhou Xu, Yan Lei

Proceedings of the IEEE International Conference on Software Analysis, 2022

CodeMatcher: a tool for large-scale code search based on query semantics matching.

Chao Liu, Xuanlin Bao, Xin Xia, Meng Yan, David Lo, Ting Zhang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Investigating and improving log parsing in practice.

Ying Fu, Meng Yan, Jian Xu, Jianguo Li, Zhongxin Liu, Xiaohong Zhang, Dan Yang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach.

Zhuo Zhang, Yan Lei, Meng Yan, Yue Yu, Jiachi Chen, Shangwen Wang, Xiaoguang Mao

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Unified abstract syntax tree representation learning for cross-language program classification.

Kesu Wang, Meng Yan, He Zhang, Haibo Hu

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

A Naming Pattern Based Approach for Method Name Recommendation.

Yanping Yang, Ling Xu, Meng Yan, Zhou Xu, Zhongyang Deng

Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

Deep Attentive Anomaly Detection for Microservice Systems with Multimodal Time-Series Data.

Yufu Chen, Meng Yan, Dan Yang, Xiaohong Zhang, Ziliang Wang

Proceedings of the IEEE International Conference on Web Services, 2022

Improving Fault Localization Using Model-domain Synthesized Failing Test Generation.

Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

A Universal Data Augmentation Approach for Fault Localization.

Huan Xie, Yan Lei, Meng Yan, Yue Yu, Xin Xia, Xiaoguang Mao

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

DeepScaling: microservices autoscaling for stable CPU utilization in large scale cloud systems.

Ziliang Wang, Shiyi Zhu, Jianguo Li, Wei Jiang, K. K. Ramakrishnan, Yangfei Zheng, Meng Yan, Xiaohong Zhang, Alex X. Liu

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021

Simplified Deep Forest Model Based Just-in-Time Defect Prediction for Android Mobile Apps.

Kunsong Zhao, Zhou Xu, Tao Zhang, Yutian Tang, Meng Yan

IEEE Trans. Reliab., 2021

Improving deep-learning-based fault localization with resampling.

Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Ling Xu, Junhao Wen

J. Softw. Evol. Process., 2021

A Probability Distribution and Location-aware ResNet Approach for QoS Prediction.

Wenyan Zhang, Ling Xu, Meng Yan, Ziliang Wang, Chunlei Fu

J. Web Eng., 2021

A comprehensive comparative study of clustering-based unsupervised defect prediction models.

Zhou Xu, Li Li, Meng Yan, Jin Liu, Xiapu Luo, John Grundy, Yifeng Zhang, Xiaohong Zhang

J. Syst. Softw., 2021

A comprehensive investigation of the impact of feature selection techniques on crashing fault residence prediction models.

Kunsong Zhao, Zhou Xu, Meng Yan, Tao Zhang, Dan Yang, Wei Li

Inf. Softw. Technol., 2021

A study of effectiveness of deep learning in locating real faults.

Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Ling Xu, Xiaohong Zhang

Inf. Softw. Technol., 2021

Feature selection and embedding based cross project framework for identifying crashing fault residence.

Zhou Xu, Tao Zhang, Jacky Keung, Meng Yan, Xiapu Luo, Xiaohong Zhang, Ling Xu, Yutian Tang

Inf. Softw. Technol., 2021

Co-attentive representation learning for web services classification.

Bin Tang, Meng Yan, Neng Zhang, Ling Xu, Xiaohong Zhang, Haijun Ren

Expert Syst. Appl., 2021

Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network.

Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang

CoRR, 2021

Is the Ground Truth Really Accurate? Dataset Purification for Automated Program Repair.

Deheng Yang, Yan Lei, Xiaoguang Mao, David Lo, Huan Xie, Meng Yan

Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Two-Stage Attention-Based Model for Code Search with Textual and Structural Features.

Ling Xu, Huanhuan Yang, Chao Liu, Jianhang Shuai, Meng Yan, Yan Lei, Zhou Xu

Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Quality Assurance for Automated Commit Message Generation.

Bei Wang, Meng Yan, Zhongxin Liu, Ling Xu, Xin Xia, Xiaohong Zhang, Dan Yang

Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network.

Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang

Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Just-in-time defect prediction for Android apps via imbalanced deep learning model.

Kunsong Zhao, Zhou Xu, Meng Yan, Yutian Tang, Ming Fan, Gemma Catolino

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set.

Kunsong Zhao, Jin Liu, Zhou Xu, Li Li, Meng Yan, Jiaojiao Yu, Yuxuan Zhou

Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

Contextual-Semantic-Aware Linkable Knowledge Prediction in Stack Overflow via Self-Attention.

Zhaolin Luo, Ling Xu, Zhou Xu, Meng Yan, Yan Lei, Can Li

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

Improving Code Summarization Through Automated Quality Assurance.

Yuxing Hu, Meng Yan, Zhongxin Liu, Qiuyuan Chen, Bei Wang

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

2020

TagDC: A tag recommendation method for software information sites with a combination of deep learning and collaborative filtering.

Can Li, Ling Xu, Meng Yan, Yan Lei

J. Syst. Softw., 2020

Imbalanced metric learning for crashing fault residence prediction.

Zhou Xu, Kunsong Zhao, Meng Yan, Peipei Yuan, Ling Xu, Yan Lei, Xiaohong Zhang

J. Syst. Softw., 2020

Effort-aware just-in-time defect identification in practice: a case study at Alibaba.

Meng Yan, Xin Xia, Yuanrui Fan, David Lo, Ahmed E. Hassan, Xindong Zhang

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

JITO: a tool for just-in-time defect identification and localization.

Fangcheng Qiu, Meng Yan, Xin Xia, Xinyu Wang, Yuanrui Fan, Ahmed E. Hassan, David Lo

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

DeepCommenter: a deep code comment generation tool with hybrid lexical and syntactical information.

Boao Li, Meng Yan, Xin Xia, Xing Hu, Ge Li, David Lo

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Automating Just-In-Time Comment Updating.

Zhongxin Liu, Xin Xia, Meng Yan, Shanping Li

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Improving Code Search with Co-Attentive Representation Learning.

Jianhang Shuai, Ling Xu, Chao Liu, Meng Yan, Xin Xia, Yan Lei

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Duplicate Bug Report Detection Using Dual-Channel Convolutional Neural Networks.

Jianjun He, Ling Xu, Meng Yan, Xin Xia, Yan Lei

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Deep Learning Based Valid Bug Reports Determination and Explanation.

Jianjun He, Ling Xu, Yuanrui Fan, Zhou Xu, Meng Yan, Yan Lei

Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

Improving Log-Based Anomaly Detection with Component-Aware Analysis.

Kun Yin, Meng Yan, Ling Xu, Zhou Xu, Zhao Li, Dan Yang, Xiaohong Zhang

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

2019

Automating Change-Level Self-Admitted Technical Debt Determination.

Meng Yan, Xin Xia, Emad Shihab, David Lo, Jianwei Yin, Xiaohu Yang

IEEE Trans. Software Eng., 2019

A two-phase transfer learning model for cross-project defect prediction.

Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang

Inf. Softw. Technol., 2019

Characterizing and identifying reverted commits.

Meng Yan, Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li

Empir. Softw. Eng., 2019

Software quality assessment model: a systematic mapping study.

Meng Yan, Xin Xia, Xiaohong Zhang, Ling Xu, Dan Yang, Shanping Li

Sci. China Inf. Sci., 2019

TagDeepRec: Tag Recommendation for Software Information Sites Using Attention-Based Bi-LSTM.

Can Li, Ling Xu, Meng Yan, Jianjun He, Zuli Zhang

Proceedings of the Knowledge Science, Engineering and Management, 2019

2018

Misclassification Cost-Sensitive Software Defect Prediction.

Ling Xu, Bei Wang, Ling Liu, Mo Zhou, Shengping Liao, Meng Yan

Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

Cross-Project Change-Proneness Prediction.

Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang

Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017

Automated change-prone class prediction on unlabeled dataset using unsupervised method.

Meng Yan, Xiaohong Zhang, Chao Liu, Ling Xu, Mengning Yang, Dan Yang

Inf. Softw. Technol., 2017

A Systematic Mapping Study of Quality Assessment Models for Software Products.

Meng Yan, Xin Xia, Xiaohong Zhang, Ling Xu, Dan Yang

Proceedings of the 2017 International Conference on Software Analysis, 2017

Automating Aggregation for Software Quality Modeling.

Meng Yan, Xin Xia, Xiaohong Zhang, Dan Yang, Ling Xu

Proceedings of the 2017 IEEE International Conference on Software Maintenance and Evolution, 2017

Learning to aggregate: an automated aggregation method for software quality model.

Meng Yan, Xiaohong Zhang, Chao Liu, Jie Zou, Ling Xu, Xin Xia

Proceedings of the 39th International Conference on Software Engineering, 2017

File-Level Defect Prediction: Unsupervised vs. Supervised Models.

Meng Yan, Yicheng Fang, David Lo, Xin Xia, Xiaohong Zhang

Proceedings of the 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2017

Revisiting the Correlation Between Alerts and Software Defects: A Case Study on MyFaces, Camel, and CXF.

Meng Yan, Xiaohong Zhang, Ling Xu, Haibo Hu, Song Sun, Xin Xia

Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

2016

Automatically classifying software changes via discriminative topic model: Supporting multi-category and cross-project.

Meng Yan, Ying Fu, Xiaohong Zhang, Dan Yang, Ling Xu, Jeffrey D. Kymer

J. Syst. Softw., 2016

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).

Fei Li, Xiaohong Zhang, Chenqiu Zhao, Meng Yan

计算机科学, 2016

A component recommender for bug reports using Discriminative Probability Latent Semantic Analysis.

Meng Yan, Xiaohong Zhang, Dan Yang, Ling Xu, Jeffrey D. Kymer

Inf. Softw. Technol., 2016

Duplication Detection for Software Bug Reports based on Topic Model.

Jie Zou, Ling Xu, Mengning Yang, Meng Yan, Dan Yang, Xiaohong Zhang

Proceedings of the 9th International Conference on Service Science, 2016

Self-learning Change-prone Class Prediction.

Meng Yan, Mengning Yang, Chao Liu, Xiaohong Zhang

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

2015

Automated classification of software change messages by semi-supervised Latent Dirichlet Allocation.

Ying Fu, Meng Yan, Xiaohong Zhang, Ling Xu, Dan Yang, Jeffrey D. Kymer

Inf. Softw. Technol., 2015

Which Non-functional Requirements Do Developers Focus On? An Empirical Study on Stack Overflow Using Topic Analysis.

Jie Zou, Ling Xu, Weikang Guo, Meng Yan, Dan Yang, Xiaohong Zhang

Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015