Lina Gong
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Lina Gong

Hi! I am an associate professor at the school of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China. I received my Ph.D. degree (thesis:Study on Cross-Project Defect Prediction Based on Transfer Learning) in Computer software and theory from China University of Mining and Technology in December 2020. From September 2019 to September 2020, I studied as a visitor in the Software Analysis and Intelligence Lab (SAIL), School of Computing, Queen’s University, Canada under the supervision of prof. Dr. Ahmed Hassan.

My research is focused on helping developers gain insights from messy data recorded in software repositories and developing ML-enabled software development techniques (e.g., ML for software Defects, ML for Identifier Normalization, ML for issue classification) to improve the efficiency and productivity of developers (e.g., find defects more precisely and faster, make better data-informed decisions). The foundation for my research has been published at IEEE Transaction on Software Engineering (TSE), ACM Transactions on Software Engineering and Methodology (TOSEM), International Conference on Automated Software Engineering (ASE), IEEE Transaction on Reliability and Journal of Software: Evolution and Process.

Email  /  Google Scholar /  Github

Publications

  1. MR2-KG: A multi-relation multi-rationale knowledge graph for modeling software engineering knowledge on Stack Overflow
    Authors: Lina Gong, Haoxiang Zhang
    Venue: IEEE Transactions on Software Engineering | PDF

  2. Coding-PTMs: How to Find Optimal Code Pre-trained Models for Code Embedding in Vulnerability Detection?
    Authors: Yu Zhao, Lina Gong, Zhiqiu Huang, Yongwei Wang, Mingqiang Wei, Fei Wu
    Venue: The International Conference on Automated Software Engineering (ASE) (2024) | PDF

  3. What is the intended usage context of this model? - An exploratory study of pre-trained models on various model repositories
    Authors: Lina Gong, Jingxuan Zhang, Mingqiang Wei, Haoxiang Zhang, Zhiqiu Huang
    Venue: ACM Transactions on Software Engineering and Methodology | PDF

  4. A Comprehensive Investigation of the Impact of Class Overlap on Software Defect Prediction
    Authors: Lina Gong, Haoxiang Zhang, Jingxuan Zhang, Mingqiang Wei, Zhiqiu Huang
    Venue: IEEE Transaction on Software Engineering | PDF

  5. Revisiting the Impact of Dependency Network Metrics on Software Defect Prediction
    Authors: Lina Gong, Gopi Krishnan Rajbahadur, Ahmed E. Hassan, Shujuan Jiang
    Venue: IEEE Transaction on Software Engineering | PDF

  6. Empirical Evaluation of the Impact of Class Overlap on Software Defect Prediction
    Authors: Lina Gong, Shujuan Jiang, Rongc Wang, Li Jiang
    Venue: The International Conference on Automated Software Engineering (ASE) | PDF

  7. An improved transfer adaptive boosting approach for mixed‐project defect prediction
    Authors: Lina Gong, Shujuan Jiang, Li Jiang
    Venue: Journal of Software: Evolution and Process | PDF

  8. A Novel Class-Imbalance Learning Approach for Both Within-Project and Cross-Project Defect Prediction
    Authors: Lina Gong, Shujuan Jiang, Lili Bo, Li Jiang, Junyan Qian
    Venue: IEEE Transactions on Reliability | PDF

  9. Which Process Metrics Are Significantly Important to Change of Defects in Evolving Projects: An Empirical Study
    Authors: Li Jiang, Shujuan Jiang, Lina Gong, Qiao Yu
    Venue: IEEE Access | PDF

  10. Conditional Domain Adversarial Adaptation for Heterogeneous Defect Prediction
    Authors: Lina Gong, Shujuan Jiang, Li Jiang
    Venue: IEEE Access | PDF

  11. Tackling Class Imbalance Problem in Software Defect Prediction Through Cluster-Based Over-Sampling With Filtering
    Authors: Lina Gong, Shujuan Jiang, Li Jiang
    Venue: IEEE Access | PDF

  12. Unsupervised Deep Domain Adaptation for Heterogeneous Defect Prediction
    Authors: Lina Gong, Shujuan Jiang, Qiao Yu, Li Jiang
    Venue: IEICE TRANSACTIONS on Information and Systems | PDF

  13. Predicting Software Quality by Optimized BP Network Based on PSO
    Authors: Kewen Li, Jisong Kou, Lina Gong
    Venue: J. Comput. | PDF

  14. Resource-constrained project scheduling based on ACO-critical chain method
    Authors: Kewen Li, Lina Gong, Jisong Kou
    Venue: 2009 Second International Workshop on Computer Science and Engineering | PDF

  15. UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration
    Authors: Zhilei Chen, Honghua Chen, Lina Gong, Xuefeng Yan, Jun Wang, Yanwen Guo, Jing Qin, Mingqiang Wei
    Venue: arXiv preprint arXiv:2208.02712 | PDF

  16. BEQAIN: An Effective and Efficient Identifier Normalization Approach With BERT and the Question Answering System
    Authors: Jingxuan Zhang; Siyuan Liu; Lina Gong; Haoxiang Zhang; Zhiqiu Huang; He Jiang
    Venue: IEEE Transactions on Software Engineering | PDF

  17. An Accurate Identifier Renaming Prediction and Suggestion Approach
    Authors: Jingxuan Zhang, Junpeng Luo, Jiahui Liang, Lina Gong, Zhiqiu Huang
    Venue: ACM Transactions on Software Engineering and Methodology | PDF

  18. UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration
    Authors: Zhilei Chen, Honghua Chen, Lina Gong, Xuefeng Yan, Jun Wang, Yanwen Guo, Jing Qin, Mingqiang Wei
    Venue: arXiv preprint arXiv:2208.02712 | PDF

  19. BTLink: Automatic link recovery between issues and commits based on pre-trained BERT model
    Authors: Jinpeng Lan, Lina Gong, Jingxuan Zhang, Haoxiang Zhang
    Venue: Empirical Software Engineering

  20. 预训练模型在软件工程领域应用研究进展
    Authors: 宫丽娜, 周易人, 乔羽, 姜淑娟, 魏明强, 黄志球
    Venue: 软件学报 | PDF

  21. Basis path coverage testing of MPI programs based on multi-task evolutionary optimization
    Authors: Baicai Sun, Lina Gong, Yinan Guo, Dunwei Gong
    Venue: Expert Systems with Applications | PDF

  22. Demystifying the Impact of Open-Source Machine Learning Libraries on Software Analytics
    Authors: Yu Zhao, Yihui Gong, Lina Gong, Shujuan Jiang, Zhiqiu Huang
    Venue: IEEE Transactions on Reliability | PDF

  23. An extensive study of the effects of different deep learning models on code vulnerability detection in Python code
    Authors: Rongcun Wang, Senlei Xu, Xingyu Ji, Yuan Tian, Lina Gong, Ke Wang
    Venue: Automated Software Engineering | PDF

  24. Cross-Modal Transformer for Point Cloud Completion
    Authors: Xing He, Zhe Zhu, Xuefeng Yan, Yanwen Guo, Lina Gong, Mingqiang Wei
    Venue: Journal of Computer-Aided Design & Computer Graphics | PDF

  25. How accessibility affects other quality attributes of software? A case study of GitHub
    Authors: Yaxin Zhao, Lina Gong, Wenhua Yang, Yu Zhou
    Venue: Science of Computer Programming | PDF

Recognition

Grants & Scholarships

  1. National Natural Science Foundation of China (NSFC)
  2. Detail: National Natural Science Foundation of China (NSFC) is the competitive fund which is awarded to support the basic research and applied research in China.(2022-2025)

  3. Natural Science Foundation of Jiangsu Province
  4. Detail: Natural Science Foundation of Jiangsu Province is the competitive fund which is awarded to support the basic research and applied research in Jiangshu Province, China.(2022-2025)

  5. Foundation of the Key National Laboratory of New Technology in Computer Software
  6. Detail: Foundation of the Key National Laboratory of New Technology in Computer Software is the competitive fund which is awarded to support excellent basic and applied research in Software Engineering. (2022-2023)

  7. Joint Ph.D. program of double first rate construction disciplines of CUMT
  8. Detail: Joint Ph.D. program of double first rate construction disciplines of CUMT provides financial support for the visiting at SAIL Lab, Queen's University, Canada

Awards

  1. Excellent Ph.D. Student Award, China University of Mining and Technology
  2. Excellent Academic Student, China University of Mining and Technology

Services

  1. Journal Referee.
  2.      IEEE Transactions on Reliability, 2022-, Impact Factor: 5.883.

Talks

  • Empirical Evaluation of the Impact of Class Overlap on Software Defect Prediction.
  •      Venue: The International Conference on Automated Software Engineering (ASE) (2019).

    Students

      Yu Zhao
      Doctoral student

      Jinpeng Lan
      Master student

      Yaxin Zhao
      Master student

      Zixuan Zeng
      Master student

      Yu Qiao
      Master student

      Yiren Zhou
      Master student

      Tiantian Ma
      Master student

      Chen Wang
      Master student

      Qi Gao
      Master student

      Xiarong Zhao
      Master student

      Yujun Huang
      Master student

      Rose Lee
      Master student

      Fengpeng Wen
      Master student