Collin McMillan

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 84

Top Venues

CoRR

ICPC

ICSME

IEEE Trans. Software Eng.

Publications

Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization. CoRR (2024)
Aakash Bansal, Robert Wallace, Zachary Karas, Ningzhi Tang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
Programmer Visual Attention During Context-Aware Code Summarization. CoRR (2024)
Chia-Yi Su, Collin McMillan
Distilled GPT for source code summarization. Autom. Softw. Eng. 31 (1) (2024)
Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions. CoRR (2024)
Ningzhi Tang, Junwen An, Meng Chen, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE. ICSE Companion (2024)
Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization. CoRR (2024)
Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization. ICPC (2024)
Aakash Bansal, Bonita Sharif, Collin McMillan
Towards Modeling Human Attention from Eye Movements for Neural Source Code Summarization. Proc. ACM Hum. Comput. Interact. 7 (ETRA) (2023)
Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Collin McMillan
A Language Model of Java Methods with Train/Test Deduplication. ESEC/SIGSOFT FSE (2023)
Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan
Towards Fine-Grained Localization of Privacy Behaviors. CoRR (2023)
Sakib Haque, Aakash Bansal, Collin McMillan
Label Smoothing Improves Neural Source Code Summarization. ICPC (2023)
Aakash Bansal, Bonita Sharif, Collin McMillan
Towards Modeling Human Attention from Eye Movements for Neural Source Code Summarization. CoRR (2023)
Chia-Yi Su, Collin McMillan
Distilled GPT for Source Code Summarization. CoRR (2023)
Sakib Haque, Aakash Bansal, Collin McMillan
Label Smoothing Improves Neural Source Code Summarization. CoRR (2023)
Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Collin McMillan
A Language Model of Java Methods with Train/Test Deduplication. CoRR (2023)
Aakash Bansal, Siyuan Jiang, Sakib Haque, Collin McMillan
Statement-based Memory for Neural Source Code Summarization. CoRR (2023)
Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
Modeling Programmer Attention as Scanpath Prediction. ASE (2023)
Aakash Bansal, Zachary Eberhart, Zachary Karas, Yu Huang, Collin McMillan
Function Call Graph Context Encoding for Neural Source Code Summarization. IEEE Trans. Software Eng. 49 (9) (2023)
Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
Modeling Programmer Attention as Scanpath Prediction. CoRR (2023)
Aakash Bansal, Chia-Yi Su, Collin McMillan
Revisiting File Context for Source Code Summarization. CoRR (2023)
Chia-Yi Su, Collin McMillan
Semantic Similarity Loss for Neural Source Code Summarization. CoRR (2023)
Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan
Towards Fine-Grained Localization of Privacy Behaviors. EuroS&P (2023)
Sakib Haque, Zachary Eberhart, Aakash Bansal, Collin McMillan
Semantic Similarity Metrics for Evaluating Source Code Summarization. CoRR (2022)
Zachary Eberhart, Collin McMillan
Generating Clarifying Questions for Query Refinement in Source Code Search. SANER (2022)
Vijayanta Jain, Sanonda Datta Gupta, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan
PAcT: Detecting and Classifying Privacy Behavior of Android Applications. WISEC (2022)
Sakib Haque, Zachary Eberhart, Aakash Bansal, Collin McMillan
Semantic similarity metrics for evaluating source code summarization. ICPC (2022)
Zachary Eberhart, Aakash Bansal, Collin McMillan
A Wizard of Oz Study Simulating API Usage Dialogues With a Virtual Assistant. IEEE Trans. Software Eng. 48 (6) (2022)
Zachary Eberhart, Collin McMillan
Generating Clarifying Questions for Query Refinement in Source Code Search. CoRR (2022)
Zachary Eberhart, Aakash Bansal, Collin McMillan
A Wizard of Oz Study Simulating API Usage Dialogues with a Virtual Assistant. CoRR (2021)
Alexander LeClair, Aakash Bansal, Collin McMillan
Ensemble Models for Neural Source Code Summarization of Subroutines. ICSME (2021)
Aakash Bansal, Zachary Eberhart, Lingfei Wu, Collin McMillan
A Neural Question Answering System for Basic Questions about Subroutines. SANER (2021)
Aakash Bansal, Sakib Haque, Collin McMillan
Project-Level Encoding for Neural Source Code Summarization of Subroutines. ICPC (2021)
Sakib Haque, Aakash Bansal, Lingfei Wu, Collin McMillan
Action Word Prediction for Neural Source Code Summarization. SANER (2021)
Sakib Haque, Aakash Bansal, Lingfei Wu, Collin McMillan
Action Word Prediction for Neural Source Code Summarization. CoRR (2021)
Zachary Eberhart, Collin McMillan
Dialogue Management for Interactive API Search. ICSME (2021)
Aakash Bansal, Zachary Eberhart, Lingfei Wu, Collin McMillan
A Neural Question Answering System for Basic Questions about Subroutines. CoRR (2021)
Zachary Eberhart, Collin McMillan
Dialogue Management for Interactive API Search. CoRR (2021)
Alexander LeClair, Aakash Bansal, Collin McMillan
Ensemble Models for Neural Source Code Summarization of Subroutines. CoRR (2021)
Aakash Bansal, Sakib Haque, Collin McMillan
Project-Level Encoding for Neural Source Code Summarization of Subroutines. CoRR (2021)
Andrew Wood, Zachary Eberhart, Collin McMillan
Dialogue Act Classification for Virtual Agents for Software Engineers during Debugging. ICSE (Workshops) (2020)
Alexander LeClair, Sakib Haque, Lingfei Wu, Collin McMillan
Improved Code Summarization via a Graph Neural Network. CoRR (2020)
Zachary Eberhart, Alexander LeClair, Collin McMillan
Automatically Extracting Subroutine Summary Descriptions from Unstructured Comments. SANER (2020)
Alexander LeClair, Sakib Haque, Lingfei Wu, Collin McMillan
Improved Code Summarization via a Graph Neural Network. ICPC (2020)
Zachary Eberhart, Aakash Bansal, Collin McMillan
The Apiza Corpus: API Usage Dialogues with a Simulated Virtual Assistant. CoRR (2020)
Sakib Haque, Alexander LeClair, Lingfei Wu, Collin McMillan
Improved Automatic Summarization of Subroutines via Attention to File Context. MSR (2020)
Sakib Haque, Alexander LeClair, Lingfei Wu, Collin McMillan
Improved Automatic Summarization of Subroutines via Attention to File Context. CoRR (2020)
Alexander LeClair, Collin McMillan
Recommendations for Datasets for Source Code Summarization. NAACL-HLT (1) (2019)
Alexander LeClair, Siyuan Jiang, Collin McMillan
A neural model for generating natural language summaries of program subroutines. ICSE (2019)
Robert Wallace, Collin McMillan
EyeDoc: Documentation Navigation with Eye Tracking. CoRR (2019)
Alexander LeClair, Collin McMillan
Recommendations for Datasets for Source Code Summarization. CoRR (2019)
Alexander LeClair, Siyuan Jiang, Collin McMillan
A Neural Model for Generating Natural Language Summaries of Program Subroutines. CoRR (2019)
Zachary Eberhart, Alexander LeClair, Collin McMillan
Automatically Extracting Subroutine Summary Descriptions from Unstructured Comments. CoRR (2019)
Paige Rodeghero, Collin McMillan
Detecting Important Terms in Source Code for Program Comprehension. HICSS (2019)
Andrew Wood, Paige Rodeghero, Ameer Armaly, Collin McMillan
Detecting speech act types in developer question/answer conversations during bug repair. ESEC/SIGSOFT FSE (2018)
Ameer Armaly, Paige Rodeghero, Collin McMillan
AudioHighlight: Code Skimming for Blind Programmers. ICSME (2018)
Paul W. McBurney, Siyuan Jiang, Marouane Kessentini, Nicholas A. Kraft, Ameer Armaly, Mohamed Wiem Mkaouer, Collin McMillan
Towards Prioritizing Documentation Effort. IEEE Trans. Software Eng. 44 (9) (2018)
Ameer Armaly, Paige Rodeghero, Collin McMillan
A Comparison of Program Comprehension Strategies by Blind and Sighted Programmers. IEEE Trans. Software Eng. 44 (8) (2018)
Alexander LeClair, Zachary Eberhart, Collin McMillan
Adapting Neural Text Classification for Improved Software Categorization. CoRR (2018)
Ameer Armaly, Paige Rodeghero, Collin McMillan
A comparison of program comprehension strategies by blind and sighted programmers. ICSE (2018)
Rrezarta Krasniqi, Collin McMillan
TraceLab Components for Generating Speech Act Types in Developer Question/Answer Conversations. ICSME (2018)
Alexander LeClair, Zachary Eberhart, Collin McMillan
Adapting Neural Text Classification for Improved Software Categorization. ICSME (2018)
Andrew Wood, Paige Rodeghero, Ameer Armaly, Collin McMillan
Detecting Speech Act Types in Developer Question/Answer Conversations During Bug Repair. CoRR (2018)
Siyuan Jiang, Ameer Armaly, Collin McMillan
Automatically Generating Commit Messages from Diffs using Neural Machine Translation. CoRR (2017)
Paige Rodeghero, Siyuan Jiang, Ameer Armaly, Collin McMillan
Detecting user story information in developer-client conversations to generate extractive summaries. ICSE (2017)
Siyuan Jiang, Collin McMillan, Raúl A. Santelices
Do Programmers do Change Impact Analysis in Debugging? Empir. Softw. Eng. 22 (2) (2017)
Breno Dantas Cruz, Bargav Jayaraman, Anurag Dwarakanath, Collin McMillan
Detecting Vague Words & Phrases in Requirements Documents in a Multilingual Environment. RE (2017)
Siyuan Jiang, Ameer Armaly, Collin McMillan, Qiyu Zhi, Ronald A. Metoyer
Docio: Documenting API Input/Output Examples. CoRR (2017)
Paige Rodeghero, Collin McMillan, Abigail Shirey
API Usage in Descriptions of Source Code Functionality. WAPI@ICSE (2017)
Siyuan Jiang, Collin McMillan
Towards automatic generation of short summaries of commits. ICPC (2017)
Siyuan Jiang, Collin McMillan
Towards Automatic Generation of Short Summaries of Commits. CoRR (2017)
Siyuan Jiang, Ameer Armaly, Collin McMillan
Automatically generating commit messages from diffs using neural machine translation. ASE (2017)
Rrezarta Krasniqi, Siyuan Jiang, Collin McMillan
TraceLab Components for Generating Extractive Summaries of User Stories. ICSME (2017)
Siyuan Jiang, Ameer Armaly, Collin McMillan, Qiyu Zhi, Ronald A. Metoyer
Docio: documenting API input/output examples. ICPC (2017)
Ameer Armaly, Collin McMillan
Pragmatic source code reuse via execution record and replay. J. Softw. Evol. Process. 28 (8) (2016)
Paul W. McBurney, Collin McMillan
An empirical study of the textual similarity between source code and source code summaries. Empir. Softw. Eng. 21 (1) (2016)
Ameer Armaly, John Klaczynski, Collin McMillan
A Case Study of Automated Feature Location Techniques for Industrial Cost Estimation. ICSME (2016)
Paige Rodeghero, Da Huo, Tao Ding, Collin McMillan, Malcom Gethers
An empirical study on how expert knowledge affects bug reports. J. Softw. Evol. Process. 28 (7) (2016)
Paul W. McBurney, Cheng Liu, Collin McMillan
Automated feature discovery via sentence selection and source code summarization. J. Softw. Evol. Process. 28 (2) (2016)
Breno Dantas Cruz, Paul W. McBurney, Collin McMillan
TraceLab Components for Reproducing Source Code Summarization Experiments. ICSME (2016)
Ameer Armaly, Collin McMillan
An empirical study of blindness and program comprehension. ICSE (Companion Volume) (2016)
Collin McMillan, Amanda Rodda-Tyler
Collaborative software engineering education between college seniors and blind high school students. ICSE (Companion Volume) (2016)
Paul W. McBurney, Collin McMillan
Automatic Source Code Summarization of Context for Java Methods. IEEE Trans. Software Eng. 42 (2) (2016)
Paige Rodeghero, Collin McMillan
Discovering important source code terms. ICSE (Companion Volume) (2016)
Paige Rodeghero, Collin McMillan
An Empirical Study on the Patterns of Eye Movement during Summarization Tasks. ESEM (2015)
Paige Rodeghero, Cheng Liu, Paul W. McBurney, Collin McMillan
An Eye-Tracking Study of Java Programmers and Application to Source Code Summarization. IEEE Trans. Software Eng. 41 (11) (2015)
Paul W. McBurney, Collin McMillan
Automatic documentation generation via source code summarization of method context. ICPC (2014)
Mario Linares Vásquez, Collin McMillan, Denys Poshyvanyk, Mark Grechanik
On using machine learning to automatically classify software applications into domain categories. Empir. Softw. Eng. 19 (3) (2014)
Collin McMillan, Richard Oosterhoff
Teaching students to understand large programs by understanding historical context. ICSE Companion (2014)
Paige Rodeghero, Collin McMillan, Paul W. McBurney, Nigel Bosch, Sidney K. D'Mello
Improving automated source code summarization via an eye-tracking study of programmers. ICSE (2014)
Lucia, David Lo, Giuseppe Scanniello, Alessandro Marchetto, Nasir Ali, Collin McMillan
Leveraging machine learning and information retrieval techniques in software evolution tasks: summary of the first MALIR-SE workshop, at ASE 2013. ACM SIGSOFT Softw. Eng. Notes 39 (1) (2014)
Da Huo, Tao Ding, Collin McMillan, Malcom Gethers
An Empirical Study of the Effects of Expert Knowledge on Bug Reports. ICSME (2014)
Ameer Armaly, Casey Ferris, Collin McMillan
Reusable execution replay: execution record and replay for source code reuse. ICSE Companion (2014)
Mario Linares Vásquez, Sam Klock, Collin McMillan, Aminata Sabane, Denys Poshyvanyk, Yann-Gaël Guéhéneuc
Domain matters: bringing further evidence of the relationships among anti-patterns, application domains, and quality-related metrics in Java mobile apps. ICPC (2014)
Mark Grechanik, Collin McMillan, Tathagata Dasgupta, Denys Poshyvanyk, Malcom Gethers
Redacting sensitive information in software artifacts. ICPC (2014)
Paul W. McBurney, Cheng Liu, Collin McMillan, Tim Weninger
Improving topic model source code summarization. ICPC (2014)
Annibale Panichella, Collin McMillan, Evan Moritz, Davide Palmieri, Rocco Oliveto, Denys Poshyvanyk, Andrea De Lucia
When and How Using Structural Information to Improve IR-Based Traceability Recovery. CSMR (2013)
Evan Moritz, Mario Linares Vásquez, Denys Poshyvanyk, Mark Grechanik, Collin McMillan, Malcom Gethers
ExPort: Detecting and visualizing API usages in large source code repositories. ASE (2013)
Collin McMillan, Denys Poshyvanyk, Mark Grechanik, Qing Xie, Chen Fu
Portfolio: Searching for relevant functions and their usages in millions of lines of code. ACM Trans. Softw. Eng. Methodol. 22 (4) (2013)
Collin McMillan, Mark Grechanik, Denys Poshyvanyk
Detecting similar software applications. ICSE (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Collin McMillan