Xiaoting Du 杜晓婷
Lecturer · Master's Supervisor
School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications (BUPT)
Prospective Students
Looking for self-motivated Master's students interested in reliability & testing of AI systems, AI for software engineering, and LLM & code intelligence. Please email me — strong programming skills and curiosity welcome.
News
- ✈️Currently visiting University College London (UCL) as a Visiting Scholar (2026.05–2027.05).
- 💼Appointed Financial Chair of the 4th CCF Intelligent Vehicle Academic Annual Conference.
- 🏆Advised team won First Prize (Northern Regional Round), 17th China Collegiate Service Outsourcing Innovation & Entrepreneurship Competition (national round in progress).
- 📄Paper “Syntax vs. Semantics: How Transformers Learn Deep Dependencies” accepted at ICML 2026.
- 📄Paper “How Do Large Language Models Perform in Deep Learning Code Generation?” accepted at ACM TOSEM.
- 📄Paper “ConFreeze-Code: Validation-Consensus Freezing for Cost-Effective Multi-Model Code Generation” accepted at the DeIS Workshop, QRS 2026.
- 🏆Two advised projects recognized at the National level (College Student Innovation & Entrepreneurship Program).
- 🏆Advised team won Second Prize (Northern Regional Round) & Third Prize (National Round), 16th China Collegiate Service Outsourcing Innovation & Entrepreneurship Competition.
- 🏆Advised team won Third Prize (North-China Regional Round), 18th National Collegiate Software Innovation Competition.
- 📄Paper “DRLMutation: A Comprehensive Framework for Mutation Testing in Deep Reinforcement Learning Systems” accepted at ACM TOSEM.
- 📄Paper “Prompting is Helpful: Automated Deep Learning Framework Bug Replay with LLMs” accepted at IEEE ISSRE Workshops.
- 📄Paper “Teaching Reform of the ‘Introduction to Software Engineering’ Course” accepted at Computer Education (in Chinese).
- 🏆Received First Prize at the 2024 China Computer Education Conference.
- 📄Paper “KnowBug: Enhancing LLMs with Bug Report Knowledge for DL Framework Bug Prediction” accepted at Knowledge-Based Systems.
- 📄Paper “LLM-BRC: A Large Language Model-Based Bug Report Classification Framework” accepted at Software Quality Journal.
- 📄Paper “A Survey on Deep Learning Framework Testing” accepted at Journal of Software (in Chinese).
- 📄Paper “How Does Pre-trained Language Model Perform on Deep Learning Framework Bug Prediction?” accepted at ICSE 2024 (Poster).
- 🎓Joined BUPT as a Lecturer.
- 🏆Named Outstanding Ph.D. Graduate of Beijing.
- 🏆Received the IEEE ISSRE Best Paper Nominee award (31st ISSRE).
About
Xiaoting Du is a Lecturer at the School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications (BUPT). Her research lies at the intersection of software engineering and artificial intelligence, focusing on reliability and testing of AI systems, AI for software engineering, and LLM reasoning & code intelligence.
She received her Ph.D. from Beihang University (BUAA) in 2022 and is currently a Visiting Scholar at University College London (UCL) (May 2026 – May 2027). She was named an Outstanding Ph.D. Graduate of Beijing.
Education & Experience
- 2026.05–27.05Visiting Scholar, UCL
- 2022.06–nowLecturer, BUPT
- 2018.09–22.06Ph.D., Beihang University
Research
Reliability & Testing of AI Systems
AI for Software Engineering
LLM Reasoning & Code Intelligence
Publications
ICML'26
Jiangrui Zhao, Xiaoting Du. Syntax vs. Semantics: How Transformers Learn Deep Dependencies. International Conference on Machine Learning (ICML).
TOSEM'26
Xiangyue Ma, Xiaoting Du, Chenglong Li, Jiangtao Meng, Xiaoke Fang, Wenjie Ding, and Zheng Zheng. How Do Large Language Models Perform in Deep Learning Code Generation? An Empirical Study. ACM Transactions on Software Engineering and Methodology.
DeIS'26
Tianqi Hao, Xiaoting Du, Chenglong Li, and Yi Wang. ConFreeze-Code: Validation-Consensus Freezing for Cost-Effective Multi-Model Code Generation. DeIS Workshop, QRS 2026.
TOSEM'25
Jiapeng Li, Zheng Zheng, Xiaoting Du, Haoyu Wang, and Yanwen Liu. DRLMutation: A Comprehensive Framework for Mutation Testing in Deep Reinforcement Learning Systems. ACM Transactions on Software Engineering and Methodology.
JSS'25
Wenjie Ding, Zhihao Liu, Xuhui Lu, Xiaoting Du, and Zheng Zheng. KPAMA: A Kubernetes-based Tool for Mitigating ML System Aging. Journal of Systems and Software.
ISSREW'25
Jinshuo Sun, Yi Wang, and Xiaoting Du. Prompting is Helpful: Automated Deep Learning Framework Bug Replay with Large Language Models. IEEE ISSRE Workshops.
CompEdu'25
Xiaoting Du, Xiangling Fu, Yi Wang, Jian Kuang, and Xiaodan Guo. Teaching Reform of the “Introduction to Software Engineering” Course under the New Engineering Education Paradigm. Computer Education (in Chinese).
KBS'24
Chenglong Li, Zheng Zheng, Xiaoting Du, Xiangyue Ma, Zhengqi Wang, and Xinheng Li. KnowBug: Enhancing Large Language Models with Bug Report Knowledge for Deep Learning Framework Bug Prediction. Knowledge-Based Systems.
SQJ'24
Xiaoting Du, Zhihao Liu, Chenglong Li, Xiangyue Ma, Yingzhuo Li, and Xinyu Wang. LLM-BRC: A Large Language Model-Based Bug Report Classification Framework. Software Quality Journal.
JOS'24
Xiangyue Ma, Xiaoting Du, Qing Cai, Yang Zheng, Zheng Hu, and Zheng Zheng. A Survey on Deep Learning Framework Testing. Journal of Software (in Chinese).
ICSE'24
Xiaoting Du, Chenglong Li, Xiangyue Ma, and Zheng Zheng. How Does Pre-trained Language Model Perform on Deep Learning Framework Bug Prediction? ICSE 2024 Poster.
Xiaoting Du, Yulei Sui, Zhihao Liu, & Jun Ai. An Empirical Study of Fault Triggers in Deep Learning Frameworks. IEEE Transactions on Dependable and Secure Computing. doi
Zhihao Liu, Yang Zheng, Xiaoting Du, Zheng Hu, Wenjie Ding, Yanming Miao, & Zheng Zheng. Taxonomy of Aging-related Bugs in Deep Learning Libraries. IEEE 33rd International Symposium on Software Reliability Engineering.
Xiaoting Du, Zheng Zheng, and Lei Ma. An Empirical Study on Common Bugs in Deep Learning Compilers. IEEE 32nd International Symposium on Software Reliability Engineering.
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JFCST'17
CGNCC'16
Xiaoting Du, Nan Wang. Test-Case-Chain-Based Failure Reproduction for Flight-Control Software. 2016 IEEE Chinese Guidance, Navigation and Control Conference (in Chinese).
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Teaching
Courses
- •Introduction to Software Engineering (undergraduate core; TA 2022, lead instructor since 2023)
- •Introduction to AI (A) (undergraduate)
- •Introduction to Medical AI (elective)
- •Software Engineering Ethics (elective)
Honors & Awards
- 🏆Outstanding Ph.D. Graduate of Beijing
- 🏆IEEE ISSRE Best Paper Nominee (31st ISSRE, 2020)
- 🏆First Prize, 2024 China Computer Education Conference
- •Third Prize (ranked 1st), BUPT Teaching Innovation Contest
- •Outstanding Class Advisor / Outstanding CPC Member / Outstanding New-Faculty Trainee
- 🏆As advisor: First Prize, Northern Regional Round — 17th China Collegiate Service Outsourcing Innovation & Entrepreneurship Competition (2026; national round in progress).
Team: Ruiqi Huang, Qiyao Wang, Yurong Zhong - 🏆As advisor: two projects recognized at the National level — College Student Innovation & Entrepreneurship Program (2025).
Team A (LLM-based aircraft control system): Zhengqi Wang, Yixian Zhao, Yingzhuo Li, Xinyu Wang, Xinheng Li
Team B (NLP-based elderly-care service platform): Shujian Chen, Yifan Shan, Qingying Li, Xiwen Zheng, Lin Wang - 🏆As advisor: Second Prize, Northern Regional Round & Third Prize, National Round — 16th China Collegiate Service Outsourcing Innovation & Entrepreneurship Competition (2025).
Team: Peiyue Jiao, Xinyu Wang, Shuxian Chen, Xiangheng Feng, Jun Yan - 🏆As advisor: Third Prize, North-China Regional Round — 18th National Collegiate Software Innovation Competition, Software Design Track (2025).
Team: Zhengqi Wang, Yixian Zhao, Xinyu Wang, Xinheng Li
Professional Services
Membership
- •Executive Member, CCF Technical Committee on Software Engineering
Conference Committee Members
- •Financial Chair, the 4th CCF Intelligent Vehicle Academic Annual Conference (2026)
- •Program Chair, International Workshop on Dependable Intelligent Systems (DeIS 2026)
- •Publication Chair, International Workshop on Dependable Computing for Complex Systems (DCCS 2026)
- •Program Committee, IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2026)
- •Program Committee, IEEE International Symposium on Software Reliability Engineering — FA Track (ISSRE 2026)
- •Program Committee, IEEE International Conference on Software Quality, Reliability, and Security (QRS 2026)
- •Organizing Committee, International Workshop on Software Aging and Rejuvenation (WoSAR 2026)
- •Program Chair, International Workshop on Dependable Intelligent Systems (DeIS 2025)
- •Publication Chair, International Workshop on Dependable Computing for Complex Systems (DCCS 2025)
- •Program Committee, IEEE International Conference on Software Quality, Reliability, and Security (QRS 2025)
- •Organizing Committee, International Workshop on Software Aging and Rejuvenation (WoSAR 2025)
- •Program Chair, International Workshop on Dependable Intelligent Systems (DeIS 2024)
- •Publication Chair, International Workshop on Dependable Computing for Complex Systems (DCCS 2024)
- •Program Committee, IEEE International Conference on Software Quality, Reliability, and Security (QRS 2024)
- •Organizing Committee, International Workshop on Software Aging and Rejuvenation (WoSAR 2024)
- •Program Chair, International Workshop on Dependable Intelligent Systems (DeIS 2023)
- •Publication Chair, International Workshop on Dependable Computing for Complex Systems (DCCS 2023)
- •Program Committee, IEEE International Conference on Software Quality, Reliability, and Security (QRS 2023)
- •Organizing Committee, International Workshop on Software Aging and Rejuvenation (WoSAR 2023)
- •Program Committee, IEEE International Conference on Software Quality, Reliability, and Security (QRS 2022)
- •Organizing Committee, International Workshop on Software Aging and Rejuvenation (WoSAR 2022)
- •Program Committee, IEEE International Conference on Software Quality, Reliability, and Security (QRS 2021)
- •Organizing Committee, International Workshop on Software Aging and Rejuvenation (WoSAR 2021)
- •Organizing Committee, International Workshop on Software Aging and Rejuvenation (WoSAR 2020)
- •Organizing Committee, International Workshop on Software Aging and Rejuvenation (WoSAR 2019)
- •Organizing Committee, International Workshop on Software Aging and Rejuvenation (WoSAR 2018)
Journal Reviewer
- •Journal Reviewer, ACM Transactions on Software Engineering and Methodology (TOSEM)
- •Journal Reviewer, IEEE Transactions on Software Engineering (TSE)
- •Journal Reviewer, IEEE Transactions on Dependable and Secure Computing (TDSC)
- •Journal Reviewer, IEEE Transactions on Reliability (TR)
- •Journal Reviewer, Journal of Systems and Software (JSS)
- •Journal Reviewer, Knowledge-Based Systems (KBS)
- •Journal Reviewer, Software Quality Journal (SQJ)
- •Journal Reviewer, Information Sciences (IS)
- •Journal Reviewer, Artificial Intelligence Review (AIR)
- •Journal Reviewer, Engineering Applications of Artificial Intelligence (EAAI)
- •Journal Reviewer, ACM Computing Surveys (CSUR)
- •Journal Reviewer, Cybersecurity
- •Journal Reviewer, International Journal of Computational Intelligence Systems (IJCIS)
- •Journal Reviewer, Netinfo Security