Collin McMillan

University of Notre Dame — United States

Computer Science · Physical Sciences

29h-index3.4kcitations125works4.52yr avg
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Research Topics

Software Engineering Research(94), Topic Modeling(38), Software System Performance and Reliability(27), Software Testing and Debugging Techniques(24), Natural Language Processing Techniques(19)

Publications125 total

NaturalEdit: Code Modification through Direct Interaction with Adaptive Natural Language Representation
arXiv (Cornell University)·2025Open Access
APIDA-Chat: Structured Synthesis of API Search Dialogues to Bootstrap Conversational Agents
arXiv (Cornell University)·2025Open Access
Context-aware code summary generation
Journal of Systems and Software·2025· 3 cited
Exploring Direct Instruction and Summary-Mediated Prompting in LLM-Assisted Code Modification
arXiv (Cornell University)·2025Open Access
Human Attention During Localization of Memory Bugs in C Programs
arXiv (Cornell University)·2025Open Access
Do Code LLMs Do Static Analysis?
arXiv (Cornell University)·2025Open Access
AI-Mediated Code Comment Improvement
arXiv (Cornell University)·2025Open Access
Programmer Visual Attention During Context-Aware Code Summarization
IEEE Transactions on Software Engineering·2025· 3 cited
Which Code Statements Implement Privacy Behaviors in Android Applications?
ArXiv.org·2025Open Access
Scoping Software Engineering for AI: The TSE Perspective
IEEE Transactions on Software Engineering·2024· 5 citedOpen Access
Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking
2024· 12 cited
Context-aware Code Summary Generation
arXiv (Cornell University)·2024· 1 citedOpen Access
Revisiting file context for source code summarization
Automated Software Engineering·2024· 2 cited
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization
Proceedings of the ACM on software engineering.·2024· 13 citedOpen Access
Semantic similarity loss for neural source code summarization
Journal of Software Evolution and Process·2024· 1 citedOpen Access
Programmer Visual Attention During Context-Aware Code Summarization
arXiv (Cornell University)·2024Open Access
A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions
arXiv (Cornell University)·2024· 1 citedOpen Access
A Tale of Two Comprehensions? Analyzing Student Programmer Attention during Code Summarization
ACM Transactions on Software Engineering and Methodology·2024· 7 citedOpen Access
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization
2024· 9 citedOpen Access
CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE
2024· 6 citedOpen Access
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Frequent Co-authors

Denys Poshyvanyk(18), Mark Grechanik(13), Paul W. McBurney(8), Qing Xie(7), Chen Fu(7), Aakash Bansal(7), Ameer Armaly(6), Paige Rodeghero(6), Siyuan Jiang(5), Zachary Eberhart(5), Mario Linares‐Vásquez(4), Yu Huang(4), Sakib Haque(3), Alexander LeClair(3), Cheng Liu(3), Malcom Gethers(3), Zachary Karas(3), Chad Cumby(2), Lingfei Wu(2), Evan Moritz(2)