论文发表  

软件工程数据挖掘
云计算和服务计算
物理信息融合系统
医学图像处理及分析
软件工程数据挖掘方向的近期代表性论文
  • Xiaoning Liu, Beijun Shen, Hao Zhong and Jiangang Zhu, EXPSOL: Recommending Online Threads for Exception-related Bugs Reports, 6th-9th December 2016, University of Waikato, Hamilton, New Zealand
  • Ning Li, Wenkai Mo and Beijun Shen, Task Recommendation with Developer Social Network in Software Crowdsourcing, 6th-9th December 2016, University of Waikato, Hamilton, New Zealand
  • Shensi Tong, Qing He, Yuting Chen, Ye Yang and Beijun Shen, Heterogeneous Cross-Company Effort Estimation through Transfer Learning, 6th-9th December 2016, University of Waikato, Hamilton, New Zealand
  • Cheng Zhang, Shensi Tong, Wenkai Mo, Yang Zhou, Yong Xia, Beijun Shen ESSE: An Early Software Size Estimation Method Based on Auto-extracted Requirements Features. 8th Asia-Pacific Symposium on Internetware, Sept. 18, 2016, Beijing, China.
  • Chengcheng Wan, Zece Zhu, Yuchen Zhang, and Yuting Chen, Multi-Perspective Change Impact Analysis Using Linked Data of Software Engineering, 8th Asia-Pacific Symposium on Internetware, Sept. 18, 2016, Beijing, China.
  • Kai Chen, Xiang Dong, Jiangang Zhu and Beijun Shen. Building a Domain Knowledge Base from Wikipedia: a Semi-supervised Approach. The 28th International Conference on Software Engineering and Knowledge Engineering (SEKE). California, USA , July 1 - July 3, 2016.
  • Xiang Dong, Kai Chen, Jiangang Zhu and Beijun Shen. Learning to Discover Subsumptions between Software Engineering Concepts in Wikipedia. The 28th International Conference on Software Engineering and Knowledge Engineering (SEKE). California, USA , July 1 - July 3, 2016.
  • Weizhi Huang, Wenkai Mo, Beijun Shen, Yu Yang and Ning Li. CPDScorer: Modeling and Evaluating Developer Programming Ability across Software Communities. The 28th International Conference on Software Engineering and Knowledge Engineering (SEKE). California, USA , July 1 - July 3, 2016.
  • Wenkai Mo, Beijun Shen, etc., GRETA: Graph-Based Tag Assignment for GitHub Repositories, The 40th IEEE Computer Society International Conference on Computers, Software & Applications (COMPSAC 2016), Atlanta, Georgia, USA - June 10-14, 2016
  • Xuyang Cai, Beijun Shen, etc.,SOLinker: Constructing Semantic Links between Tags and URLs on StackOverflow, The 40th IEEE Computer Society International Conference on Computers, Software & Applications (COMPSAC 2016), Atlanta, Georgia, USA - June 10-14, 2016
  • Qing He, Beijun Shen, etc.,Defect Prediction Using Semi-supervised Learning with Change Burst Information, The 40th IEEE Computer Society International Conference on Computers, Software & Applications (COMPSAC 2016), Atlanta, Georgia, USA - June 10-14, 2016
  • Zhengzheng Qian, etc., SatiIndicator: Leveraging User Reviews to Evaluate User Satisfaction of SourceForge Projects, The 40th IEEE Computer Society International Conference on Computers, Software & Applications (COMPSAC 2016), Atlanta, Georgia, USA - June 10-14, 2016
  • Shensi Tong, Hanlong Zhang, Beijun Shen, Hao Zhong, Yongjian Wangy and Bo Jin, Detecting Gambling Sites From Post Behaviors, The 11th IEEE Conference on Industrial Electronics and Applications (ICIEA 2016) , 5-7 June 2016, Hefei, China
  • Yuchen Zhang, Chengcheng Wan, Bo Jin, An Empirical Study on Recovering Requirement-to-Code Links, 17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2016), May 30-June 1, 2016, Shanghai China
  • Jiangang Zhu, Beijun Shen and Fanghuai Hu, A Learning to Rank Framework for Developer Recommendation in Software Crowdsourcing, the 22nd Asia Pacific Software Engineering Conference (APSEC) , PP. 285-292, New Delhi, India, Dec. 1~4, 2015
  • Wenkai Mo, Beijun Shen, Yuting Chen, Jiangang Zhu. TBIL: A Tagging-Based Approach to Identity Linkage across Software Communities, the 22nd Asia Pacific Software Engineering Conference (APSEC) , PP. 56-63, New Delhi, India, Dec. 1~4, 2015
  • Wenkai Mo, Beijun Shen, Yuming He, Hao Zhong, GEMiner: Mining Social and Programming Behaviors to Identify Experts in Github, Internetware, Wuhan, China, Nov. 6, 2015
  • He Qing, Li Biwen, Beijun Shen, Yong Xia, Cross-Project Software Defect Prediction Using Feature-Based Transfer Learning, Internetware, Wuhan, China, Nov. 6, 2015
  • Shizhe Fu, Beijun Shen, Code Bad Smell Detection through Evolutionary Data Mining, ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Beijing China, Oct. 22~23, 2015
  • Jiangang Zhu, Haofen Wang and Beijun Shen, Software.zhishi.schema: A Software Programming Taxonomy Derived from Stackoverflow, 14th IEEE International Semantic Web Conference (ISWC), Bethlehem, Pennsylvania, Oct.11~15, 2015
  • Jiangang Zhu, Beijun Shen, Xuyang Cai and Haofen Wang, Building A Large-scale Software Programming Taxonomy from Stackoverflow, International Conference on Software Engineering and Knowledge Engineering (SEKE). Wyndham Pittsburgh University Center, Pittsburgh, USA, July 6 ~ July 8, 2015.
  • Shixiong Zhao, Beijun Shen, Yuting Chen and Hao Zhong, Towards Effective Developer Recommendation in Software Crowdsourcing, International Conference on Software Engineering and Knowledge Engineering (SEKE). Wyndham Pittsburgh University Center, Pittsburgh, USA, July 6 ~ July 8, 2015.
  • Yu Zhang, Beijun Shen and Yuting Chen, Mining Developer Mailing List to Predict Software Defects, The 21st Asia-Pacific Software Engineering Conference (APSEC), PP. 383 - 390 , Jeju, Korea, December 1-4, 2014
  • Biwen Li, Beijun Shen, Jun Wang, Yuting Chen, Tao Zhang, Jinshuang Wang. A Scenario-Based Approach to Predicting Software Defects Using Compressed C4.5 Model, The 38th Annual International Computer, Software & Applications Conference (COMPSAC), PP.406~415, Vasteras, Sweden, July 21-25, 2014
  • Weicheng Yang, Beijun Shen and Ben Xu, Mining GitHub: Why Commit Stops - Exploring the Relationship between Developer’s Commit Pattern and File Version Evolution, 20th Asia-Pacific Software Engineering Conference (APSEC), December 2-5, 2013, Bangkok, Thailand
  • Jun Wang, Beijun Shen and Yuting Chen, Compressed C4.5 Models for Software Defect Prediction, 12th International Conference on Quality Software, Xi’an, China, 27th – 29th Aug 2012