Publication
Peer-Reviewed Papers
- , Zhou Yang, Jieke Shi, Jianming Chang, Yue Liu, David Lo. "“My productivity is boosted, but ...” Demystifying Users' Perception on AI Coding Assistants" 2025 40th IEEE/ACM International Conference on Automated Software Engineering (ASE). (13 pages, Research Papers, 🏆 ACM SIGSOFT Distinguished Paper Award)
- , Zhou Yang, Yuqing Niu, Jing Jiang, David Lo. "Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models?" 2025 33rd ACM International Conference on Multimedia (MM). (10 pages, Oral)
- , Hong Jin Kang, Ratnadira Widyasari, Julia Lawall, David Lo. "Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel" IEEE Transactions on Software Engineering (TSE), FSE 2025 Journal-First
- , Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach D. Le, Ming Li, David Lo. "CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports" 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE). (13 pages, Technical Track.)
- Chengran Yang, Jiakun Liu, Bowen Xu, Christoph Treude, , Junda He, Ming Li, David Lo. "APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation" 2025 International Conference on Software Maintenance and Evolution (ICSME). (12 pages, Research Papers Track)
- Alessio Bucaioni, Martin Weyssow, Junda He, , David Lo. "Artificial Intelligence for Software Architecture: Literature Review and the Road Ahead" FSE 2025 - 2030 Software Engineering Workshop. (11 pages)
- Alessio Bucaioni, Martin Weyssow, Junda He, , David Lo. "A Functional Software Reference Architecture for LLM-Integrated Systems" 2025 IEEE 22nd International Conference on Software Architecture (ICSA). (5 pages, New and Emerging Ideas Track.)
Preprints
- Yue Liu, Yanjie Zhao, , Ting Zhang, Haoyu Wang, David Lo. ""Your AI, My Shell": Demystifying Prompt Injection Attacks on Agentic AI Coding Editors." (Under review)
- Junkai Chen, Huihui Huang, , Junwen An, Jieke Shi, Chengran Yang, Ting Zhang, Haoye Tian, Yikun Li, Zhenhao Li, Xin Zhou, Xing Hu, David Lo. "SecureAgentBench: Benchmarking Secure Code Generation under Realistic Vulnerability Scenarios." (Under review)
- Jianming Chang, Jieke Shi, , Xin Zhou, Lulu Wang, Zhou Yang, Bixin Li, David Lo. "SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents." (Under review)
- Xin Zhou, Martin Weyssow, Ratnadira Widyasari, Ting Zhang, Junda He, , Jianming Chang, Beiqi Zhang, Dan Huang, David Lo. "LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks." (Under review at TOSEM.)
- Zhou Yang, Zhensu Sun, , Terry Zhuo Yue, Premkumar Devanbu, David Lo. Robustness, security, privacy, explainability, efficiency, and usability of large language models for code.
- Hong Jin Kang, , Pattarakrit Rattanukul, Stefanus Agus Haryono, Truong Giang Nguyen, Chaiyong Ragkhitwetsagul, Corina Pasareanu, David Lo. "Active Learning-based Input Selection for Fuzzing Deep Learning Libraries" (This work found vulnerabilities leading to the assignment of 23 CVEs)