Publications

[J5] [TSE 2025] Vercation: Precise Vulnerable Open-source Software Version Identification based on Static Analysis and LLM
Yiran Cheng, Ting Zhang*, Lwin Khin Shar, Shouguo Yang, Chaopeng Dong, David Lo, Shichao Lv, Zhiqiang Shi, Limin Sun
[PDF] [Code]

[J4] [TOSEM 2024] Explaining Explanation: An Empirical Study on Explanation in Code Reviews
Ratnadira Widyasari, Ting Zhang, Abir Bouraffa, Walid Maalej, David Lo
[PDF] [Code]

[J3] [TOSEM 2024] Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models
Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, David Lo
[PDF] [Code]

[J2] [TOSEM 2023] Representation Learning for Stack Overflow Posts: How Far are We?
Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ivana Clairine Irsan, Ferdian Thung, David Lo
[PDF] [Code]

[J1] [TOSEM 2023, ASE 2023 Journal First] Duplicate Bug Report Detection: How Far Are We?
Ting Zhang, DongGyun Han, Venkatesh Vinayakarao, Ivana Clairine Irsan, Bowen Xu, Ferdian Thung, David Lo, Lingxiao Jiang
[PDF] [Code]

[C14] [ICSE 2026] Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval
Huihui Huang, Ratnadira Widyasari, Ting Zhang*, Ivana Clairine IRSAN, Jieke Shi, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, Hong Jin Kang, David Lo
[PDF] [Code]

[C13] [ACL 2025 main] TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification
Yindu Su, Huike Zou, Lin Sun, Ting Zhang*, Haiyang Yang, Liyu Chen, David Lo, Qingheng Zhang, Shuguang Han, Jufeng Chen
[PDF] [Code]

[C12] [FSE 2025] A Knowledge Enhanced Large Language Model for Bug Localization
Yue Li, Bohan Liu, Ting Zhang, Zhiqi Wang, David Lo, Lanxin Yang, Jun Lyu, He Zhang
[PDF] [Code]

[C11] [ASE 2024] ChatBR: Automated Assessment and Improvement of Bug Report Quality using ChatGPT
Lili Bo, Wangjie Ji, Xiaobing Sun, Ting Zhang, Xiaoxue Wu, Ying Wei
[PDF] [Code]

[C10] [FORGE 2024 New Idea] On Evaluating the Efficiency of Source Code Generated by LLMs
Changan Niu, Ting Zhang, Chuanyi Li, Bin Luo, Vincent Ng
[PDF] [Code]

[C9] [ICSE 2024 NIER] Large Language Model for Vulnerability Detection: Emerging Results and Future Directions
Xin Zhou, Ting Zhang, David Lo
[PDF] [Code]

[C8] [MSR 2023] PICASO: Enhancing API Recommendations with Relevant Stack Overflow Posts
Ivana Clairine Irsan, Ting Zhang*, Ferdian Thung, Kisub Kim, David Lo
[PDF] [Code]

[C7] [SANER 2023] Multi-Modal API Recommendation
Ivana Clairine Irsan, Ting Zhang*, Ferdian Thung, Kisub Kim, David Lo
[PDF] [Code]

[C6] [FSE 2022 Demo] iTiger: An Automatic Issue Title Generation Tool
Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, David Lo, Lingxiao Jiang
[PDF] [Code]

[C5] [FSE 2022 Demo] 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.
[PDF] [Code]

[C4] [ASE 2022] Summarization for Technical Queries: Benchmark and New Approach
Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
[PDF] [Code]

[C3] [ICSME 2022] Automatic Pull Request Title Generation
Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, DongGyun Han, David Lo, Lingxiao Jiang
[PDF] [Code]

[C2] [ICPC 2022] Benchmarking Library Recognition in Tweets
Ting Zhang, Divya Prabha Chandrasekaran, Ferdian Thung, David Lo
[PDF] [Code]

[C1] [ICSME 2020] Sentiment Analysis for Software Engineering: How Far Can Pre-trained Transformer Models Go?
Ting Zhang, Bowen Xu, Ferdian Thung, Stefanus Agus Haryono, David Lo, Lingxiao Jiang
[PDF] [Code]