Show Me Why It’s Correct: Saving 1/3 of Debugging Time in Program Repair with Interactive Runtime Comparison
Published by
Proceedings of the ACM on Programming Languages
Summary
journal-article
Nan Jiang
About
I am a third-year Ph.D. student majoring in Computer Science at Purdue University. Currently, I am working with Prof. Lin Tan about leveraging natural language processing techniques on automatic program repair. Specifically, we are trying to build a deep-learning-based encoder-decoder tool to generate patches for given faulty programs. My research interests mainly focus on applying deep learning techniques to help software testing, software repair, and software analysis.
Education
Purdue University
United States of America
→
Ph.D.
Peking University
China
→
Bachelor of Science
Publications
ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols from Stripped Binaries
Summary
conference-paper
A Deep Dive into Large Language Models for Automated Bug Localization and Repair
Published by
Proceedings of the ACM on Software Engineering
Summary
journal-article
A Deep Dive into Large Language Models for Automated Bug Localization and Repair
Published by
Proceedings of the ACM on Software Engineering
Summary
conference-paper
RepairCAT: Applying Large Language Model to Fix Bugs in AI-Generated Programs
Summary
conference-paper
How Effective Are Neural Networks for Fixing Security Vulnerabilities
Published by
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis
Summary
conference-paper
Impact of Code Language Models on Automated Program Repair
Published by
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)
Summary
conference-paper
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair
Published by
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)
Summary
conference-paper
Quantifying the spatial homogeneity of urban road networks via graph neural networks
Published by
Nature Machine Intelligence
Summary
journal-article
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
Published by
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)
Summary
conference-paper