- Our work titled 'An Empirical Study on Release-Wise Refactoring Patterns' was accepted for The ACM International Conference on the Foundations of Software Engineering (FSE).
- Our work titled 'Detecting Refactoring Commits in Machine Learning Python Projects: A Machine Learning-Based Approach' was accepted for The ACM Transactions on Software Engineering and Methodology (TOSEM).
- We won the ACM Sigsoft Award to present our work at The International Conference on Software Engineering (ICSE) 2024.
- Our work titled 'An Empirical Study of Refactoring Rhythms and Tactics in the Software Development Process' was accepted for The IEEE Transactions on Software Engineering (TSE).
- We won the Best Poster Award for presenting our work 'Detecting Refactoring Commits in Machine Learning Python Projects: A Machine Learning-Based Approach' at The Software Engineering for Machine Learning Applications (SEMLA).
Research Experience
Postdoctoral Fellow
Education
PhD, Queen's University
Background
Research interests include code maintenance, code refactoring, code generation, LLM-driven development, and release engineering.
Miscellany
Feel free to reach out if you have an interesting idea or are looking to collaborate!