师资队伍
师资概况
名师风采
  • 姓名:曹雨露

  • 职称:讲师

  • 最高学历:博士研究生

  • 系/专业:计算机科学与技术系

  • E-mail:suliuzh@163.com

  • 研究方向:智能软件工程,程序分析,软件供应链安全

教育经历
工作经历
教学方向
学术成果与荣誉

2018.09—2024.06 南京大学计算机科学与技术 博士

2014.09—2018.06 电子科技大学机械设计制造及其自动化 学士


2025.05- 至今,365英国上市官网登录专任教师。


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论文:

1. Yulu Cao, Lin Chen, Wanwangying Ma, Yanhui Li, Yuming Zhou, and Linzhang Wang. Towards Better Dependency Management: A First Look At Dependency Smells in Python Projects[J]. IEEE Transactions on Software Engineering, 2023, 49(04): 1741-1765. (CCF-A, 中科院一区TOP,SCI)

2. Yulu Cao, Zhifei Chen, Xiaowei Zhang, Yanhui Li, Lin Chen, and Linzhang Wang. Diagnosis of package installation incompatibility via knowledge base[J]. Science of Computer Programming, 2024: 103098(CCF-B,SCI)

3. Yulu Cao, Lin Chen, Zhifei Chen, Jiacheng Zhong, Xiaowei Zhang, and Linzhang Wang. Efficient Construction of Practical Python Call Graphs with Entity Knowledge Base[J]. International Journal of Software Engineering and Knowledge Engineering, 2024.(CCF-C,SCI)

4. Hao Ren, Yanhui Li, Lin Chen, Yulu Cao, Xiaowei Zhang, and Changhai Nie. Justin- time identification for cross-project correlated issues[J]. Journal of Software: Evolution and Process, 2023: e2637.(CCF-B,SCI)

5. Haolin Yang, Lin Chen, Yulu Cao, Yanhui Li, and Yuming Zhou. Towards Better Dependency Scope Settings in Maven Projects[C]//Proceedings of the 14th Asia- Pacific Symposium on Internetware. 2023:90–100.(CCF-C类会议,EI)

6. Xiaowei Zhang, Zhifei Chen, Yulu Cao, Lin Chen, and Yuming Zhou. Multi-Intent Inline Code Comment Generation via Large Language Model[J]. International Journal of Software Engineering and Knowledge Engineering, 2024.(CCF-C,SCI)

7. Xiaowei Zhang, Lin Chen, Weiqin Zou, Yulu Cao, Hao Ren, Zhi Wang, Yanhui Li, and Yuming Zhou. ICG: A Machine Learning Benchmark Dataset and Baselines for Inline Code Comments Generation Task[J]. International Journal of Software. Engineering and Knowledge Engineering, 2023: 1–26. (CCF-C,SCI)

8. Hao Ren, Mingliang Ma, Xiaowei Zhang, Yulu Cao, and Changhai Nie. Effective Recommendation of Cross-Project Correlated Issues based on Issue Metrics[C]// Proceedings of the 14th Asia-Pacific Symposium on Internetware. 2023: 1–1.(CCF-C,SCI)



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