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Collin McMillan

Software Engineering (SE) Natural Language Processing (NLP) Software Documentation Generation
University of Notre Dame College of Engineering

About

I am an Associate Professor of Computer Science at the University of Notre Dame. I completed my Ph.D. at William & Mary, advised by Denys Poshyvanyk. My main research interests are at the intersection of software engineering and natural language processing, focused on software documentation generation.

Research Performance Summary

114
Total Papers
6173
Total Citations
36
H-Index
2009-2026
Active Research Span

First Recorded Paper

Combining textual and structural analysis of software artifacts for traceability link recovery

Year: 2009

Citations: 132

Venue: 2009 ICSE Workshop on Traceability in Emerging Forms of Software Engineering

Latest Recorded Paper

Investigating the Feasibility of Conducting Webcam-Based Eye-Tracking Studies in Code Comprehension

Year: 2026

Citations: 0

Venue: IEEE Transactions on Software Engineering

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
3
2025
11
2024
10
2023
8
2022
5
2021
6
2020
6
2019
4
2018
6
2017
12
2016
8

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 66
Journal 16
Book 0

Top Coauthors

McMillan Bansal Huang

Research Impact by Period

2025-2026

Period Stats
Papers 14
Citations 31
Avg. Citations / Paper 2.2
H-Index 3

2020-2024

Period Stats
Papers 35
Citations 1422
Avg. Citations / Paper 40.6
H-Index 16

2015-2019

Period Stats
Papers 35
Citations 1958
Avg. Citations / Paper 55.9
H-Index 17

2010-2014

Period Stats
Papers 29
Citations 2630
Avg. Citations / Paper 90.7
H-Index 18

2005-2009

Period Stats
Papers 1
Citations 132
Avg. Citations / Paper 132
H-Index 1

Contact and Professional Links

Contact Information

collin.mcmillan@nd.edu
5746311881

Detected Research Keywords

Source Code Summarization Neural Source Code Search Engine Finding Developer Behaviors Validating Behaviors Validating Repairing Finding Relevant Functions Relevant Functions Their Eye Tracking Study Source Code Search Engine Finding Highly