学术论文

Yanming Yang, Xing Hu, Zhipeng Gao, Jinfu Chen, Chao Ni, Xin Xia, David Lo. “Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction”. IEEE Transactions on Software Engineering (TSE)
Yanming Yang, Xing Hu, Xin Xia, Xiaohu Yang. “The Lost World: Characterizing and Detecting Undiscovered Test Smells”. In ACM Transactions on Software Engineering and Methodology (TOSEM). 2023.
Junwei Zhang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li. “Vulnerability Detection by Learning from Syntax-Based Execution Paths of Code”. IEEE Transactions on Software Engineering (TSE), 2023.
Zhipeng Gao, Xin Xia, David Lo, John Grundy, Xindong Zhang, Zhenchang Xing. “I Know What You Are Searching For: Code Snippet Recommendation from Stack Overflow Posts”. In ACM Transactions on Software Engineering and Methodology (TOSEM), 2022.
Chao Ni, Xin Xia, David Lo, Xiaohu Yang, Ahmed E. Hassan. “Just-In-Time Defect Prediction on JavaScript Projects: A Replication Study”. In ACM Transactions on Software Engineering and Methodology (TOSEM), 2022, Accepted.
Zhongxin Liu, Xin Xia, David Lo, Meng Yan, Shanping Li. “Just-In-Time Obsolete Comment Detection and Update”. IEEE Transactions on Software Engineering (TSE), 2022, Accepted.
Fangcheng Qiu, Zhipeng Gao, Xin Xia, David Lo, John Grundy, Xinyu Wang. “Deep Just-In-Time Defect Localization”. IEEE Transactions on Software Engineering (TSE), 2022, Accepted.
Yanming Yang, Xin Xia, David Lo, John Grundy. “A Survey on Deep Learning for Software Engineering”. In ACM Computing Surveys (CSUR), 2021, Accepted.
Yanming Yang, Xin Xia, David Lo, Tingting Bi, John Grundy, Xiaohu Yang. “Predictive Models in Software Engineering: Challenges and Opportunities”. In ACM Transactions on Software Engineering and Methodology (TOSEM), 2021, Accepted.
Xing Hu, Qiuyuan Chen, Haoye Wang, Xin Xia, David Lo, Thomas Zimmermann. “Correlating Automated and Human Evaluation of Code Documentation Generation Quality”. In ACM Transactions on Software Engineering and Methodology (TOSEM), 2021, Accepted.
Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John Grundy, Xiaohu Yang. “On the Reproducibility and Replicability of Deep Learning in Software Engineering”. In ACM Transactions on Software Engineering and Methodology (TOSEM), 2021, Accepted.
Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, John Grundy. “Opportunities and Challenges in Code Search Tools”. In ACM Computing Surveys (CSUR), 2021, Accepted.
Jiakun Liu, Xin Xia, David Lo, Haoxiang Zhang, Ying Zou, Ahmed E. Hassan, Shanping Li. “Broken External Links on Stack Overflow”. IEEE Transactions on Software Engineering (TSE), 2021. Accepted.
Peixin Zhang, Jingyi Wang, Jun Sun, *Xinyu Wang, Guoliang Dong, Xingen Wang, Ting Dai, Jinsong Dong. Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling[J]. IEEE Transactions on Software Engineering(TSE)
Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E. Hassan, Shanping Li. “CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words”. ACM Transactions on Software Engineering and Methodology (TOSEM), 2021. Accepted.
Haoye Wang, Xin Xia, David Lo, Qiang He, Xinyu Wang, John Grundy. “Context-Aware Retrieval-based Deep Commit Message Generation”. ACM Transactions on Software Engineering and Methodology (TOSEM), 2021. Accepted.
Qiuyuan Chen, Xin Xia*, Han Hu, David Lo, Shanping Li. “Why My Code Summarization Model Does Not Work: Code Comment Improvement with Category Prediction”. ACM Transactions on Software Engineering and Methodology (TOSEM), 2021. Accepted.
Neng Zhang, Qiao Huang, Xin Xia*, Ying Zou, David Lo, Zhenchang Xing, "Chatbot4QR: Interactive Query Refinement for Technical Question Retrieval," IEEE Transactions on Software Engineering (TSE), 2020, 27 pages. Accepted.
Chao Ni, Xin Xia*, David Lo, Xiang Chen, Qing Gu, "Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect Prediction", IEEE Transactions on Software Engineering (TSE), 2020, 16 pages. Accepted.
Meng Yan, Xin Xia*, Yuanrui Fan, Ahmed E Hassan, David Lo, Shanping Li, "JustIn-Time Defect Identification and Localization: A Two-Phase Framework", IEEE Transactions on Software Engineering (TSE), 2020, 20 pages, Accepted.
Lingfeng Bao, Zhenchang Xing, Xin Xia*, David Lo, Minghui Wu, Xiaohu Yang. “psc2code: Denoising Code Extraction from Programming Screencasts”. In ACM Transactions on Software Engineering and Methodology (TOSEM)
Zhiyuan Wan, Xin Xia*, David Lo, Gail Murphy, "How does Machine Learning Change Software Development Practices?", IEEE Transactions on Software Engineering (TSE), 2019, 14 pages, Accepted.
Zhongxin Liu, Xin Xia*, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li, "Which Variables Should I Log?", IEEE Transactions on Software Engineering (TSE), 2019, 20 pages, Accepted.
Yuanrui Fan, Xin Xia*, Daniel Alencar da Costa, David Lo, Ahmed E. Hassan, Shanping Li, "The Impact of Mislabeled Changes by SZZ on Just-in-Time Defect Prediction", IEEE Transactions on Software Engineering (TSE), 2019, 26 pages, Accepted.
Lingfeng Bao, Xin Xia*, David Lo, Gail Murphy, "A Large Scale Study of LongTime Contributor Prediction for GitHub Projects", IEEE Transactions on Software Engineering (TSE), 2019, 22 pages, Accepted.
Zhiyuan Wan, Xin Xia*, Ahmed E. Hassan, "What Do Programmers Discuss about Blockchain? A Case Study on the Use of Balanced LDA and the Reference Architecture of a Domain to Capture Online Discussions about Blockchain Platforms across Stack Exchange Communities", IEEE Transactions on Software Engineering (TSE), 2019, 19 pages, Accepted.
Lingfeng Bao, Zhenchang Xing, Xin Xia*, David Lo, "VT-Revolution: Interactive Programming Video Tutorial Authoring and Watching System", IEEE Transactions on Software Engineering (TSE), 45(8): 823-838, 2018.
Meng Yan, Xin Xia*, Emad Shihab, David Lo, Jianwei Yin, Xiaohu Yang, "Automating Change-Level Self-Admitted Technical Debt Determination", IEEE Transactions on Software Engineering (TSE), 45(12): 1211-1229, 2019.
Xiaoxue Ren, Zhenchang Xing, Xin Xia*, David Lo, Xinyu Wang, John Grundy, "Neural Network Based Detection of Self-admitted Technical Debt: From Performance to Explainability", ACM Transactions on Software Engineering and Methodology (TOSEM), 28(3): 15, 2019.
Zhiyuan Wan, Xin Xia*, Ahmed E. Hassan, David Lo, Jianwei Yin, Xiaohu Yang, "Perceptions, Expectations, and Challenges in Defect Prediction", IEEE Transactions on Software Engineering (TSE), 26 pages, Accepted.
Qiao Huang, Xin Xia*, David Lo, Gail Murphy, "Automating Intention Mining", IEEE Transactions on Software Engineering (TSE), 22 pages, Accepted.
Yuanrui Fan, Xin Xia*, David Lo, Ahmed E. Hassan, "Chaff from the Wheat: Characterizing and Determining Valid Bug Reports", IEEE Transactions on Software Engineering (TSE), 30 pages, Accepted.
Xin Xia, Lingfeng Bao, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li, "Measuring Program Comprehension: A Large-Scale Field Study with Professionals", IEEE Transactions on Software Engineering (TSE), 44(10): 951-976, 2018.
Xin Xia, David Lo, Ying Ding, Jafar M. Al-Kofahi, Tien N. Nguyen, Xinyu Wang, "Improving Automated Bug Triaging with Specialized Topic Model", IEEE Transactions on Software Engineering (TSE), 43(3): 272-297, 2017.
Xin Xia, David Lo, Sinno Jialin Pan, Nachiappan Nagappan, Xinyu Wang, "HYDRA: Massively Compositional Model for Cross-Project Defect Prediction", IEEE Transactions on Software Engineering (TSE) 42(10): 977-998 (2016) (TSE Featured Paper on October 2016 issue)
Xinyu Wang, Jun Sun, Ting Wang, Shengchao Qin, "Language Inclusion Checking of Timed Automata with Non-Zenoness", IEEE Transactions on Software Engineering (TSE) , 2017-11, 43(11), 995-1008.
俞欢, 詹士潇, 邱炜伟, 李启雷, "高性能联盟区块链技术研究", 软件学报 2019年06期.
蔡亮, 范元瑞, 鄢萌, 夏鑫, "即时软件缺陷预测研究进展", 软件学报2019, 30(5):1288-1307.
蔡亮, 端豪, 鄢萌, 夏鑫, "基于双层协同的联盟区块链隐私数据保护方法", 软件学报, 2020, 已录用.
杨博, 张能, 李善平, 夏鑫, "智能代码补全方法研究进展", 软件学报, 2020, 已录用.
陈秋远, 李善平, 鄢萌, 夏鑫, "代码克隆检测研究进展", 软件学报, 2019, 30(4): 962-980.

代表性期刊论文(CCF-A)