Ting Zhang

According to our database, Ting Zhang authored at least 34 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Explaining Explanations: An Empirical Study of Explanations in Code Reviews.

Ratnadira Widyasari, Ting Zhang, Abir Bouraffa, Walid Maalej, David Lo

ACM Trans. Softw. Eng. Methodol., July, 2025

Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses?

Yikun Li, Ngoc Tan Bui, Ting Zhang, Martin Weyssow, Chengran Yang, Xin Zhou, Jinfeng Jiang, Junkai Chen, Huihui Huang, Huu Hung Nguyen, Chiok Yew Ho, Jie Tang, Ruiyin Li, Yide Yin, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, July, 2025

VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones.

Tan Bui, Yan Naing Tun, Thanh Phuc Nguyen, Yindu Su, Ferdian Thung, Yikun Li, Han Wei Ang, Yide Yin, Frank Liauw, Lwin Khin Shar, Eng Lieh Ouh, Ting Zhang, David Lo

CoRR, July, 2025

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

CoRR, July, 2025

Mapping NVD Records to Their VFCs: How Hard is it?

Huu Hung Nguyen, Duc-Manh Tran, Yiran Cheng, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Lwin Khin Shar, Ouh Eng Lieh, Ting Zhang, David Lo

CoRR, June, 2025

An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks.

Xin Zhou, Kisub Kim, Ting Zhang, Martin Weyssow, Luis F. Gomes, Guang Yang, David Lo

CoRR, May, 2025

Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models.

Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, David Lo

ACM Trans. Softw. Eng. Methodol., March, 2025

Fixseeker: An Empirical Driven Graph-based Approach for Detecting Silent Vulnerability Fixes in Open Source Software.

Yiran Cheng, Ting Zhang, Lwin Khin Shar, Zhe Lang, David Lo, Shichao Lv, Dongliang Fang, Zhiqiang Shi, Limin Sun

CoRR, March, 2025

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection.

Ting Zhang, Chengran Yang, Yindu Su, Martin Weyssow, Huu Hung Nguyen, Tan Bui, Hong Jin Kang, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, March, 2025

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks.

Xin Zhou, Martin Weyssow, Ratnadira Widyasari, Ting Zhang, Junda He, Yunbo Lyu, Jianming Chang, Beiqi Zhang, Dan Huang, David Lo

CoRR, February, 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

Proc. ACM Softw. Eng., 2025

2024

Representation Learning for Stack Overflow Posts: How Far Are We?

Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ferdian Thung, Ivana Clairine Irsan, David Lo

ACM Trans. Softw. Eng. Methodol., March, 2024

CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics.

Yikun Li, Ting Zhang, Ratnadira Widyasari, Yan Naing Tun, Huu Hung Nguyen, Tan Bui, Ivana Clairine Irsan, Yiran Cheng, Xiang Lan, Han Wei Ang, Frank Liauw, Martin Weyssow, Hong Jin Kang, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, 2024

JavaVFC: Java Vulnerability Fixing Commits from Open-source Software.

Tan Bui, Yan Naing Tun, Yiran Cheng, Ivana Clairine Irsan, Ting Zhang, Hong Jin Kang

CoRR, 2024

LLM-Enhanced Static Analysis for Precise Identification of Vulnerable OSS Versions.

Yiran Cheng, Lwin Khin Shar, Ting Zhang, Shouguo Yang, Chaopeng Dong, David Lo, Shichao Lv, Zhiqiang Shi, Limin Sun

CoRR, 2024

Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection.

Xin Zhou, Duc-Manh Tran, Thanh Le-Cong, Ting Zhang, Ivana Clairine Irsan, Joshua Sumarlin, Bach Le, David Lo

CoRR, 2024

ChatBR: Automated assessment and improvement of bug report quality using ChatGPT.

Lili Bo, Wangjie Ji, Xiaobing Sun, Ting Zhang, Xiaoxue Wu, Ying Wei

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Large Language Model for Vulnerability Detection: Emerging Results and Future Directions.

Xin Zhou, Ting Zhang, David Lo

Proceedings of the 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results, 2024

On Evaluating the Efficiency of Source Code Generated by LLMs.

Changan Niu, Ting Zhang, Chuanyi Li, Bin Luo, Vincent Ng

Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024

2023

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

ACM Trans. Softw. Eng. Methodol., July, 2023

Explaining Explanation: An Empirical Study on Explanation in Code Reviews.

Ratnadira Widyasari, Ting Zhang, Abir Bouraffa, David Lo

CoRR, 2023

Evaluating Pre-trained Language Models for Repairing API Misuses.

Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, David Lo, Asankhaya Sharma, Lingxiao Jiang

CoRR, 2023

Cupid: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection.

Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, David Lo

CoRR, 2023

APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge.

Kisub Kim, Ferdian Thung, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo

CoRR, 2023

APIHarvest: Harvesting API Information from Various Online Sources.

Ferdian Thung, Kisub Kim, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo

CoRR, 2023

Multi-Modal API Recommendation.

Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo

Proceedings of the IEEE International Conference on Software Analysis, 2023

Picaso: Enhancing API Recommendations with Relevant Stack Overflow Posts.

Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

2022

iTiger: an automatic issue title generation tool.

Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, DongGyun Han, David Lo, Lingxiao Jiang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

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

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Answer 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

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Benchmarking library recognition in tweets.

Ting Zhang, Divya Prabha Chandrasekaran, Ferdian Thung, David Lo

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

Automatic Pull Request Title Generation.

Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, DongGyun Han, David Lo, Lingxiao Jiang

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

AutoPRTitle: A Tool for Automatic Pull Request Title Generation.

Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, David Lo, Lingxiao Jiang

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

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

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020