Collin McMillan

137 papers A* 15A 29B 2Journal 71Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automated Generation of Accurate Privacy Captions From Android Source Code Using Large Language Models.
CoRR
Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan
2026 J jnl
CMind: An AI Agent for Localizing C Memory Bugs.
CoRR
Chia-Yi Su, Collin McMillan
2026 J jnl
Context-aware code summary generation.
J. Syst. Softw.
Chia-Yi Su, Aakash Bansal, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2026 J jnl
Do code LLMs do static analysis?
Empir. Softw. Eng.
Chia-Yi Su, Collin McMillan
2026 J jnl
Investigating the Feasibility of Conducting Webcam-Based Eye-Tracking Studies in Code Comprehension.
IEEE Trans. Software Eng.
Zihan Fang, Robert Wallace, Zachary Karas, Toby Jia-Jun Li, Collin McMillan, Yu Huang
2026 J jnl
Semantic Neighborhood Density and Eye Gaze Time in Human Programmer Attention.
CoRR
Robert Wallace, Emory Michaels, Yu Huang, Collin McMillan
2025 J jnl
AI-Mediated Code Comment Improvement.
CoRR
Maria Dhakal, Chia-Yi Su, Robert Wallace, Chris Fakhimi, Aakash Bansal, Toby Jia-Jun Li, Yu Huang, Collin McMillan
2025 A* conf
APIDA-Chat: Structured Synthesis of API Search Dialogues to Bootstrap Conversational Agents.
ASE
Zachary Eberhart, Collin McMillan
2025 J jnl
APIDA-Chat: Structured Synthesis of API Search Dialogues to Bootstrap Conversational Agents.
CoRR
Zachary Eberhart, Collin McMillan
2025 J jnl
Do Code LLMs Do Static Analysis?
CoRR
Chia-Yi Su, Collin McMillan
2025 B conf
Exploring Direct Instruction and Summary-Mediated Prompting in LLM-Assisted Code Modification.
VL/HCC
Ningzhi Tang, Emory Smith, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2025 J jnl
Exploring Direct Instruction and Summary-Mediated Prompting in LLM-Assisted Code Modification.
CoRR
Ningzhi Tang, Emory Smith, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2025 J jnl
EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention.
CoRR
Yifan Zhang, Chen Huang, Yueke Zhang, Jiahao Zhang, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
2025 J jnl
Human Attention During Localization of Memory Bugs in C Programs.
CoRR
Emory Smith, Robert Wallace, Matthew Robison, Yu Huang, Collin McMillan
2025 J jnl
NaturalEdit: Code Modification through Direct Interaction with Adaptive Natural Language Representation.
CoRR
Ningzhi Tang, David Meininger, Gelei Xu, Yiyu Shi, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2025 J jnl
Programmer Visual Attention During Context-Aware Code Summarization.
IEEE Trans. Software Eng.
Robert Wallace, Aakash Bansal, Zachary Karas, Ningzhi Tang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2025 A* conf
Programmers' Visual Attention on Function Call Graphs During Code Summarization.
ASE
Samantha McLoughlin, Zachary Karas, Robert Wallace, Aakash Bansal, Collin McMillan, Yu Huang
2025 J jnl
Which Code Statements Implement Privacy Behaviors in Android Applications?
CoRR
Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan
2024 J jnl
A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions.
CoRR
Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2024 J jnl
A Tale of Two Comprehensions? Analyzing Student Programmer Attention during Code Summarization.
ACM Trans. Softw. Eng. Methodol.
Zachary Karas, Aakash Bansal, Yifan Zhang, Toby Jia-Jun Li, Collin McMillan, Yu Huang
2024 — conf
CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE.
ICSE Companion
Ningzhi Tang, Junwen An, Meng Chen, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2024 J jnl
Context-aware Code Summary Generation.
CoRR
Chia-Yi Su, Aakash Bansal, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2024 B conf
Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking.
VL/HCC
Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2024 J jnl
Distilled GPT for source code summarization.
Autom. Softw. Eng.
Chia-Yi Su, Collin McMillan
2024 A conf
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization.
ICPC
Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang
2024 J jnl
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization.
CoRR
Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang
2024 J jnl
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization.
CoRR
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
2024 J jnl
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization.
Proc. ACM Softw. Eng.
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
2024 J jnl
Programmer Visual Attention During Context-Aware Code Summarization.
CoRR
Aakash Bansal, Robert Wallace, Zachary Karas, Ningzhi Tang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2024 J jnl
Revisiting file context for source code summarization.
Autom. Softw. Eng.
Chia-Yi Su, Aakash Bansal, Collin McMillan
2024 J jnl
Scoping Software Engineering for AI: The TSE Perspective.
IEEE Trans. Software Eng.
Sebastián Uchitel, Marsha Chechik, Massimiliano Di Penta, Bram Adams, Nazareno Aguirre, Gabriele Bavota, Domenico Bianculli, Kelly Blincoe, Ana Cavalcanti, Yvonne Dittrich, Filomena Ferrucci, Rashina Hoda, Liguo Huang, David Lo, Michael R. Lyu, Lei Ma, Jonathan I. Maletic, Leonardo Mariani, Collin McMillan, Tim Menzies, Martin Monperrus, Ana Moreno, Nachiappan Nagappan, Liliana Pasquale, Patrizio Pelliccione, Michael Pradel, Rahul Purandare, Sukyoung Ryu, Mehrdad Sabetzadeh, Alexander Serebrenik, Jun Sun, Chakkrit Kla Tantithamthavorn, Christoph Treude, Manuel Wimmer, Yingfei Xiong, Tao Yue, Andy Zaidman, Tao Zhang, Hao Zhong
2024 J jnl
Semantic similarity loss for neural source code summarization.
J. Softw. Evol. Process.
Chia-Yi Su, Collin McMillan
2023 — conf
A Language Model of Java Methods with Train/Test Deduplication.
ESEC/SIGSOFT FSE
Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Collin McMillan
2023 J jnl
A Language Model of Java Methods with Train/Test Deduplication.
CoRR
Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Collin McMillan
2023 J jnl
Distilled GPT for Source Code Summarization.
CoRR
Chia-Yi Su, Collin McMillan
2023 J jnl
Function Call Graph Context Encoding for Neural Source Code Summarization.
IEEE Trans. Software Eng.
Aakash Bansal, Zachary Eberhart, Zachary Karas, Yu Huang, Collin McMillan
2023 A conf
Label Smoothing Improves Neural Source Code Summarization.
ICPC
Sakib Haque, Aakash Bansal, Collin McMillan
2023 J jnl
Label Smoothing Improves Neural Source Code Summarization.
CoRR
Sakib Haque, Aakash Bansal, Collin McMillan
2023 A* conf
Modeling Programmer Attention as Scanpath Prediction.
ASE
Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2023 J jnl
Modeling Programmer Attention as Scanpath Prediction.
CoRR
Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2023 J jnl
Revisiting File Context for Source Code Summarization.
CoRR
Aakash Bansal, Chia-Yi Su, Collin McMillan
2023 J jnl
Semantic Similarity Loss for Neural Source Code Summarization.
CoRR
Chia-Yi Su, Collin McMillan
2023 J jnl
Statement-based Memory for Neural Source Code Summarization.
CoRR
Aakash Bansal, Siyuan Jiang, Sakib Haque, Collin McMillan
2023 A conf
Towards Fine-Grained Localization of Privacy Behaviors.
EuroS&P
Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan
2023 J jnl
Towards Fine-Grained Localization of Privacy Behaviors.
CoRR
Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan
2023 J jnl
Towards Modeling Human Attention from Eye Movements for Neural Source Code Summarization.
CoRR
Aakash Bansal, Bonita Sharif, Collin McMillan
2023 J jnl
Towards Modeling Human Attention from Eye Movements for Neural Source Code Summarization.
Proc. ACM Hum. Comput. Interact.
Aakash Bansal, Bonita Sharif, Collin McMillan
2022 J jnl
A Wizard of Oz Study Simulating API Usage Dialogues With a Virtual Assistant.
IEEE Trans. Software Eng.
Zachary Eberhart, Aakash Bansal, Collin McMillan
2022 A conf
Generating Clarifying Questions for Query Refinement in Source Code Search.
SANER
Zachary Eberhart, Collin McMillan
2022 J jnl
Generating Clarifying Questions for Query Refinement in Source Code Search.
CoRR
Zachary Eberhart, Collin McMillan
2022 — conf
PAcT: Detecting and Classifying Privacy Behavior of Android Applications.
WISEC
Vijayanta Jain, Sanonda Datta Gupta, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan
2022 J jnl
Semantic Similarity Metrics for Evaluating Source Code Summarization.
CoRR
Sakib Haque, Zachary Eberhart, Aakash Bansal, Collin McMillan
2022 A conf
Semantic similarity metrics for evaluating source code summarization.
ICPC
Sakib Haque, Zachary Eberhart, Aakash Bansal, Collin McMillan
2021 A conf
A Neural Question Answering System for Basic Questions about Subroutines.
SANER
Aakash Bansal, Zachary Eberhart, Lingfei Wu, Collin McMillan
2021 J jnl
A Neural Question Answering System for Basic Questions about Subroutines.
CoRR
Aakash Bansal, Zachary Eberhart, Lingfei Wu, Collin McMillan
2021 J jnl
A Wizard of Oz Study Simulating API Usage Dialogues with a Virtual Assistant.
CoRR
Zachary Eberhart, Aakash Bansal, Collin McMillan
2021 A conf
Action Word Prediction for Neural Source Code Summarization.
SANER
Sakib Haque, Aakash Bansal, Lingfei Wu, Collin McMillan
2021 J jnl
Action Word Prediction for Neural Source Code Summarization.
CoRR
Sakib Haque, Aakash Bansal, Lingfei Wu, Collin McMillan
2021 A conf
Dialogue Management for Interactive API Search.
ICSME
Zachary Eberhart, Collin McMillan
2021 J jnl
Dialogue Management for Interactive API Search.
CoRR
Zachary Eberhart, Collin McMillan
2021 A conf
Ensemble Models for Neural Source Code Summarization of Subroutines.
ICSME
Alexander LeClair, Aakash Bansal, Collin McMillan
2021 J jnl
Ensemble Models for Neural Source Code Summarization of Subroutines.
CoRR
Alexander LeClair, Aakash Bansal, Collin McMillan
2021 A conf
Project-Level Encoding for Neural Source Code Summarization of Subroutines.
ICPC
Aakash Bansal, Sakib Haque, Collin McMillan
2021 J jnl
Project-Level Encoding for Neural Source Code Summarization of Subroutines.
CoRR
Aakash Bansal, Sakib Haque, Collin McMillan
2020 A conf
Automatically Extracting Subroutine Summary Descriptions from Unstructured Comments.
SANER
Zachary Eberhart, Alexander LeClair, Collin McMillan
2020 — conf
Dialogue Act Classification for Virtual Agents for Software Engineers during Debugging.
ICSE (Workshops)
Andrew Wood, Zachary Eberhart, Collin McMillan
2020 A conf
Improved Automatic Summarization of Subroutines via Attention to File Context.
MSR
Sakib Haque, Alexander LeClair, Lingfei Wu, Collin McMillan
2020 J jnl
Improved Automatic Summarization of Subroutines via Attention to File Context.
CoRR
Sakib Haque, Alexander LeClair, Lingfei Wu, Collin McMillan
2020 A conf
Improved Code Summarization via a Graph Neural Network.
ICPC
Alexander LeClair, Sakib Haque, Lingfei Wu, Collin McMillan
2020 J jnl
Improved Code Summarization via a Graph Neural Network.
CoRR
Alexander LeClair, Sakib Haque, Lingfei Wu, Collin McMillan
2020 J jnl
The Apiza Corpus: API Usage Dialogues with a Simulated Virtual Assistant.
CoRR
Zachary Eberhart, Aakash Bansal, Collin McMillan
2019 J jnl
A Neural Model for Generating Natural Language Summaries of Program Subroutines.
CoRR
Alexander LeClair, Siyuan Jiang, Collin McMillan
2019 A* conf
A neural model for generating natural language summaries of program subroutines.
ICSE
Alexander LeClair, Siyuan Jiang, Collin McMillan
2019 J jnl
Automatically Extracting Subroutine Summary Descriptions from Unstructured Comments.
CoRR
Zachary Eberhart, Alexander LeClair, Collin McMillan
2019 — conf
Detecting Important Terms in Source Code for Program Comprehension.
HICSS
Paige Rodeghero, Collin McMillan
2019 J jnl
EyeDoc: Documentation Navigation with Eye Tracking.
CoRR
Robert Wallace, Collin McMillan
2019 — conf
Recommendations for Datasets for Source Code Summarization.
NAACL-HLT (1)
Alexander LeClair, Collin McMillan
2019 J jnl
Recommendations for Datasets for Source Code Summarization.
CoRR
Alexander LeClair, Collin McMillan
2018 J jnl
A Comparison of Program Comprehension Strategies by Blind and Sighted Programmers.
IEEE Trans. Software Eng.
Ameer Armaly, Paige Rodeghero, Collin McMillan
2018 A* conf
A comparison of program comprehension strategies by blind and sighted programmers.
ICSE
Ameer Armaly, Paige Rodeghero, Collin McMillan
2018 A conf
Adapting Neural Text Classification for Improved Software Categorization.
ICSME
Alexander LeClair, Zachary Eberhart, Collin McMillan
2018 J jnl
Adapting Neural Text Classification for Improved Software Categorization.
CoRR
Alexander LeClair, Zachary Eberhart, Collin McMillan
2018 A conf
AudioHighlight: Code Skimming for Blind Programmers.
ICSME
Ameer Armaly, Paige Rodeghero, Collin McMillan
2018 J jnl
Detecting Speech Act Types in Developer Question/Answer Conversations During Bug Repair.
CoRR
Andrew Wood, Paige Rodeghero, Ameer Armaly, Collin McMillan
2018 — conf
Detecting speech act types in developer question/answer conversations during bug repair.
ESEC/SIGSOFT FSE
Andrew Wood, Paige Rodeghero, Ameer Armaly, Collin McMillan
2018 J jnl
Towards Prioritizing Documentation Effort.
IEEE Trans. Software Eng.
Paul W. McBurney, Siyuan Jiang, Marouane Kessentini, Nicholas A. Kraft, Ameer Armaly, Mohamed Wiem Mkaouer, Collin McMillan
2018 A conf
TraceLab Components for Generating Speech Act Types in Developer Question/Answer Conversations.
ICSME
Rrezarta Krasniqi, Collin McMillan
2017 — conf
API Usage in Descriptions of Source Code Functionality.
WAPI@ICSE
Paige Rodeghero, Collin McMillan, Abigail Shirey
2017 J jnl
Automatically Generating Commit Messages from Diffs using Neural Machine Translation.
CoRR
Siyuan Jiang, Ameer Armaly, Collin McMillan
2017 A* conf
Automatically generating commit messages from diffs using neural machine translation.
ASE
Siyuan Jiang, Ameer Armaly, Collin McMillan
2017 A conf
Detecting Vague Words & Phrases in Requirements Documents in a Multilingual Environment.
RE
Breno Dantas Cruz, Bargav Jayaraman, Anurag Dwarakanath, Collin McMillan
2017 A* conf
Detecting user story information in developer-client conversations to generate extractive summaries.
ICSE
Paige Rodeghero, Siyuan Jiang, Ameer Armaly, Collin McMillan
2017 J jnl
Do Programmers do Change Impact Analysis in Debugging?
Empir. Softw. Eng.
Siyuan Jiang, Collin McMillan, Raúl A. Santelices
2017 J jnl
Docio: Documenting API Input/Output Examples.
CoRR
Siyuan Jiang, Ameer Armaly, Collin McMillan, Qiyu Zhi, Ronald A. Metoyer
2017 A conf
Docio: documenting API input/output examples.
ICPC
Siyuan Jiang, Ameer Armaly, Collin McMillan, Qiyu Zhi, Ronald A. Metoyer
2017 J jnl
Towards Automatic Generation of Short Summaries of Commits.
CoRR
Siyuan Jiang, Collin McMillan
2017 A conf
Towards automatic generation of short summaries of commits.
ICPC
Siyuan Jiang, Collin McMillan
2017 A conf
TraceLab Components for Generating Extractive Summaries of User Stories.
ICSME
Rrezarta Krasniqi, Siyuan Jiang, Collin McMillan
2016 A conf
A Case Study of Automated Feature Location Techniques for Industrial Cost Estimation.
ICSME
Ameer Armaly, John Klaczynski, Collin McMillan
2016 — conf
An empirical study of blindness and program comprehension.
ICSE (Companion Volume)
Ameer Armaly, Collin McMillan
2016 J jnl
An empirical study of the textual similarity between source code and source code summaries.
Empir. Softw. Eng.
Paul W. McBurney, Collin McMillan
2016 J jnl
An empirical study on how expert knowledge affects bug reports.
J. Softw. Evol. Process.
Paige Rodeghero, Da Huo, Tao Ding, Collin McMillan, Malcom Gethers
2016 J jnl
Automated feature discovery via sentence selection and source code summarization.
J. Softw. Evol. Process.
Paul W. McBurney, Cheng Liu, Collin McMillan
2016 J jnl
Automatic Source Code Summarization of Context for Java Methods.
IEEE Trans. Software Eng.
Paul W. McBurney, Collin McMillan
2016 — conf
Collaborative software engineering education between college seniors and blind high school students.
ICSE (Companion Volume)
Collin McMillan, Amanda Rodda-Tyler
2016 — conf
Discovering important source code terms.
ICSE (Companion Volume)
Paige Rodeghero, Collin McMillan
2016 J jnl
Pragmatic source code reuse via execution record and replay.
J. Softw. Evol. Process.
Ameer Armaly, Collin McMillan
2016 A conf
TraceLab Components for Reproducing Source Code Summarization Experiments.
ICSME
Breno Dantas Cruz, Paul W. McBurney, Collin McMillan
2015 A conf
An Empirical Study on the Patterns of Eye Movement during Summarization Tasks.
ESEM
Paige Rodeghero, Collin McMillan
2015 J jnl
An Eye-Tracking Study of Java Programmers and Application to Source Code Summarization.
IEEE Trans. Software Eng.
Paige Rodeghero, Cheng Liu, Paul W. McBurney, Collin McMillan
2014 A conf
An Empirical Study of the Effects of Expert Knowledge on Bug Reports.
ICSME
Da Huo, Tao Ding, Collin McMillan, Malcom Gethers
2014 A conf
Automatic documentation generation via source code summarization of method context.
ICPC
Paul W. McBurney, Collin McMillan
2014 A conf
Domain matters: bringing further evidence of the relationships among anti-patterns, application domains, and quality-related metrics in Java mobile apps.
ICPC
Mario Linares Vásquez, Sam Klock, Collin McMillan, Aminata Sabané, Denys Poshyvanyk, Yann-Gaël Guéhéneuc
2014 A* conf
Improving automated source code summarization via an eye-tracking study of programmers.
ICSE
Paige Rodeghero, Collin McMillan, Paul W. McBurney, Nigel Bosch, Sidney K. D'Mello
2014 A conf
Improving topic model source code summarization.
ICPC
Paul W. McBurney, Cheng Liu, Collin McMillan, Tim Weninger
2014 J jnl
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
Lucia, David Lo, Giuseppe Scanniello, Alessandro Marchetto, Nasir Ali, Collin McMillan
2014 J jnl
On using machine learning to automatically classify software applications into domain categories.
Empir. Softw. Eng.
Mario Linares Vásquez, Collin McMillan, Denys Poshyvanyk, Mark Grechanik
2014 A conf
Redacting sensitive information in software artifacts.
ICPC
Mark Grechanik, Collin McMillan, Tathagata Dasgupta, Denys Poshyvanyk, Malcom Gethers
2014 — conf
Reusable execution replay: execution record and replay for source code reuse.
ICSE Companion
Ameer Armaly, Casey Ferris, Collin McMillan
2014 — conf
Teaching students to understand large programs by understanding historical context.
ICSE Companion
Collin McMillan, Richard Oosterhoff
2013 A* conf
ExPort: Detecting and visualizing API usages in large source code repositories.
ASE
Evan Moritz, Mario Linares Vásquez, Denys Poshyvanyk, Mark Grechanik, Collin McMillan, Malcom Gethers
2013 J jnl
Portfolio: Searching for relevant functions and their usages in millions of lines of code.
ACM Trans. Softw. Eng. Methodol.
Collin McMillan, Denys Poshyvanyk, Mark Grechanik, Qing Xie, Chen Fu
2013 — conf
When and How Using Structural Information to Improve IR-Based Traceability Recovery.
CSMR
Annibale Panichella, Collin McMillan, Evan Moritz, Davide Palmieri, Rocco Oliveto, Denys Poshyvanyk, Andrea De Lucia
2012 A* conf
Detecting similar software applications.
ICSE
Collin McMillan, Mark Grechanik, Denys Poshyvanyk
2012 J jnl
Exemplar: A Source Code Search Engine for Finding Highly Relevant Applications.
IEEE Trans. Software Eng.
Collin McMillan, Mark Grechanik, Denys Poshyvanyk, Chen Fu, Qing Xie
2012 A* conf
Recommending source code for use in rapid software prototypes.
ICSE
Collin McMillan, Negar Hariri, Denys Poshyvanyk, Jane Cleland-Huang, Bamshad Mobasher
2011 — conf
Categorizing software applications for maintenance.
ICSM
Collin McMillan, Mario Linares Vásquez, Denys Poshyvanyk, Mark Grechanik
2011 A* conf
Finding relevant functions in millions of lines of code.
ICSE
Collin McMillan
2011 A* conf
Portfolio: a search engine for finding functions and their usages.
ICSE
Collin McMillan, Mark Grechanik, Denys Poshyvanyk, Qing Xie, Chen Fu
2011 A* conf
Portfolio: finding relevant functions and their usage.
ICSE
Collin McMillan, Mark Grechanik, Denys Poshyvanyk, Qing Xie, Chen Fu
2011 A* conf
Searching, selecting, and synthesizing source code.
ICSE
Collin McMillan
2010 — conf
A search engine for finding highly relevant applications.
ICSE (1)
Mark Grechanik, Chen Fu, Qing Xie, Collin McMillan, Denys Poshyvanyk, Chad M. Cumby
2010 A conf
An empirical investigation into a large-scale Java open source code repository.
ESEM
Mark Grechanik, Collin McMillan, Luca DeFerrari, Marco Comi, Stefano Crespi-Reghizzi, Denys Poshyvanyk, Chen Fu, Qing Xie, Carlo Ghezzi
2010 — conf
Exemplar: EXEcutable exaMPLes ARchive.
ICSE (2)
Mark Grechanik, Chen Fu, Qing Xie, Collin McMillan, Denys Poshyvanyk, Chad M. Cumby
2010 — conf
Recommending source code examples via API call usages and documentation.
RSSE@ICSE
Collin McMillan, Denys Poshyvanyk, Mark Grechanik
2009 — conf
Combining textual and structural analysis of software artifacts for traceability link recovery.
TEFSE@ICSE
Collin McMillan, Denys Poshyvanyk, Meghan Revelle
2009 — conf
Toward Robust and Extensible Automatic Protocol Identification.
International Conference on Internet Computing
George Louthan, Collin McMillan, Christopher Johnson, John Hale