
Registered user since Fri 2 Feb 2018
David Lo is the OUB Chair Professor of Computer Science and the Founding Director of the Center for Research in Intelligent Software Engineering (RISE) at Singapore Management University. Championing the area of AI for Software Engineering (AI4SE) since the mid-2000s, he has demonstrated how AI - encompassing data mining, machine learning, information retrieval, natural language processing, and search-based algorithms - can transform software engineering data into automation and insights. His contributions have led to over 20 awards - including two Test-of-Time awards and twelve ACM SIGSOFT / IEEE TCSE Distinguished Paper awards - and gathered close to 40k citations. An ACM Fellow, IEEE Fellow, ASE Fellow, National Research Foundation Investigator (Senior Fellow), and a recipient of the MSR Foundational Contribution Award and IEEE TCSE Distinguished Service Award, Lo has also served as a PC Co-Chair for ASE’20, FSE’24, and ICSE’25. For more information, please visit: http://www.mysmu.edu/faculty/davidlo/.
Contributions
2025
ESEC/FSE
- Explaining Explanations: An Empirical Study of Explanations in Code Reviews
- DynDebloater: Dynamically Debloating Unwanted Features of Android Apps without APK Modification
- Less is More: On the Importance of Data Quality for Unit Test Generation
- Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel
- How Practitioners Perceive the Relevance of Software Engineering Research
- Prioritizing Speech Test Cases
- Committee Member in Program Committee within the Research Papers-track
- Large Language Models for Software Engineering: A Systematic Literature Review
- Zero-Shot Cross-Domain Code Search without Fine-Tuning
- A Knowledge Enhanced Large Language Model for Bug Localization
- Clone Detection for Smart Contracts: How Far Are We?
- Don’t Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
- Committee Member in Steering Committee
- Towards Better Comprehension of Breaking Changes in the NPM Ecosystem
- Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues
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