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ORCIDCollin McMillan
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- affiliation: University of Notre Dame, IN, USA
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2020 – today
- 2025
[i35]Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan:
Which Code Statements Implement Privacy Behaviors in Android Applications? CoRR abs/2503.02091 (2025)- 2024
- [j21]Chia-Yi Su, Collin McMillan:
Distilled GPT for source code summarization. Autom. Softw. Eng. 31(1): 22 (2024) - [j20]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): 115-136 (2024) - [j19]Chia-Yi Su, Collin McMillan:
Semantic similarity loss for neural source code summarization. J. Softw. Evol. Process. 36(11) (2024) - [j18]Zachary Karas, Aakash Bansal, Yifan Zhang, Toby Jia-Jun Li, Collin McMillan, Yu Huang:
A Tale of Two Comprehensions? Analyzing Student Programmer Attention during Code Summarization. ACM Trans. Softw. Eng. Methodol. 33(7): 193:1-193:37 (2024) - [j17]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:
Scoping Software Engineering for AI: The TSE Perspective. IEEE Trans. Software Eng. 50(11): 2709-2711 (2024) - [c63]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: 119-123 - [c62]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: 47-51 - [c61]Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li:
Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking. VL/HCC 2024: 40-46 - [i34]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 abs/2402.14096 (2024) - [i33]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 abs/2402.14182 (2024) - [i32]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 abs/2405.16081 (2024) - [i31]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 abs/2405.18573 (2024) - [i30]Chia-Yi Su, Aakash Bansal, Yu Huang, Toby Jia-Jun Li, Collin McMillan:
Context-aware Code Summary Generation. CoRR abs/2408.09006 (2024) - 2023
- [j16]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): 1-19 (2023) - [j15]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): 4268-4281 (2023) - [c60]Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan:
Towards Fine-Grained Localization of Privacy Behaviors. EuroS&P 2023: 258-277 - [c59]Sakib Haque, Aakash Bansal, Collin McMillan:
Label Smoothing Improves Neural Source Code Summarization. ICPC 2023: 101-112 - [c58]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: 1732-1736 - [c57]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: 2152-2156 - [i29]Sakib Haque, Aakash Bansal, Collin McMillan:
Label Smoothing Improves Neural Source Code Summarization. CoRR abs/2303.16178 (2023) - [i28]Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Collin McMillan:
A Language Model of Java Methods with Train/Test Deduplication. CoRR abs/2305.08286 (2023) - [i27]Aakash Bansal, Bonita Sharif, Collin McMillan:
Towards Modeling Human Attention from Eye Movements for Neural Source Code Summarization. CoRR abs/2305.09773 (2023) - [i26]Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan:
Towards Fine-Grained Localization of Privacy Behaviors. CoRR abs/2305.15314 (2023) - [i25]Aakash Bansal, Siyuan Jiang, Sakib Haque, Collin McMillan:
Statement-based Memory for Neural Source Code Summarization. CoRR abs/2307.11709 (2023) - [i24]Chia-Yi Su, Collin McMillan:
Semantic Similarity Loss for Neural Source Code Summarization. CoRR abs/2308.07429 (2023) - [i23]Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan:
Modeling Programmer Attention as Scanpath Prediction. CoRR abs/2308.13920 (2023) - [i22]Chia-Yi Su, Collin McMillan:
Distilled GPT for Source Code Summarization. CoRR abs/2308.14731 (2023) - [i21]Aakash Bansal, Chia-Yi Su, Collin McMillan:
Revisiting File Context for Source Code Summarization. CoRR abs/2309.02326 (2023) - 2022
- [j14]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): 1883-1904 (2022) - [c56]Sakib Haque, Zachary Eberhart, Aakash Bansal, Collin McMillan:
Semantic similarity metrics for evaluating source code summarization. ICPC 2022: 36-47 - [c55]Zachary Eberhart, Collin McMillan:
Generating Clarifying Questions for Query Refinement in Source Code Search. SANER 2022: 140-151 - [c54]Vijayanta Jain, Sanonda Datta Gupta, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan:
PAcT: Detecting and Classifying Privacy Behavior of Android Applications. WISEC 2022: 104-118 - [i20]Zachary Eberhart, Collin McMillan:
Generating Clarifying Questions for Query Refinement in Source Code Search. CoRR abs/2201.09974 (2022) - [i19]Sakib Haque, Zachary Eberhart, Aakash Bansal, Collin McMillan:
Semantic Similarity Metrics for Evaluating Source Code Summarization. CoRR abs/2204.01632 (2022) - 2021
- [c53]Zachary Eberhart, Collin McMillan:
Dialogue Management for Interactive API Search. ICSME 2021: 274-285 - [c52]Alexander LeClair, Aakash Bansal, Collin McMillan:
Ensemble Models for Neural Source Code Summarization of Subroutines. ICSME 2021: 286-297 - [c51]Aakash Bansal, Sakib Haque, Collin McMillan:
Project-Level Encoding for Neural Source Code Summarization of Subroutines. ICPC 2021: 253-264 - [c50]Aakash Bansal, Zachary Eberhart, Lingfei Wu, Collin McMillan:
A Neural Question Answering System for Basic Questions about Subroutines. SANER 2021: 60-71 - [c49]Sakib Haque, Aakash Bansal, Lingfei Wu, Collin McMillan:
Action Word Prediction for Neural Source Code Summarization. SANER 2021: 330-341 - [i18]Sakib Haque, Aakash Bansal, Lingfei Wu, Collin McMillan:
Action Word Prediction for Neural Source Code Summarization. CoRR abs/2101.02742 (2021) - [i17]Aakash Bansal, Zachary Eberhart, Lingfei Wu, Collin McMillan:
A Neural Question Answering System for Basic Questions about Subroutines. CoRR abs/2101.03999 (2021) - [i16]Aakash Bansal, Sakib Haque, Collin McMillan:
Project-Level Encoding for Neural Source Code Summarization of Subroutines. CoRR abs/2103.11599 (2021) - [i15]Zachary Eberhart, Aakash Bansal, Collin McMillan:
A Wizard of Oz Study Simulating API Usage Dialogues with a Virtual Assistant. CoRR abs/2106.12645 (2021) - [i14]Alexander LeClair, Aakash Bansal, Collin McMillan:
Ensemble Models for Neural Source Code Summarization of Subroutines. CoRR abs/2107.11423 (2021) - [i13]Zachary Eberhart, Collin McMillan:
Dialogue Management for Interactive API Search. CoRR abs/2107.12317 (2021) - 2020
- [c48]Andrew Wood, Zachary Eberhart, Collin McMillan:
Dialogue Act Classification for Virtual Agents for Software Engineers during Debugging. ICSE (Workshops) 2020: 462-469 - [c47]Alexander LeClair, Sakib Haque, Lingfei Wu, Collin McMillan:
Improved Code Summarization via a Graph Neural Network. ICPC 2020: 184-195 - [c46]Sakib Haque, Alexander LeClair, Lingfei Wu, Collin McMillan:
Improved Automatic Summarization of Subroutines via Attention to File Context. MSR 2020: 300-310 - [c45]Zachary Eberhart, Alexander LeClair, Collin McMillan:
Automatically Extracting Subroutine Summary Descriptions from Unstructured Comments. SANER 2020: 35-46 - [i12]Zachary Eberhart, Aakash Bansal, Collin McMillan:
The Apiza Corpus: API Usage Dialogues with a Simulated Virtual Assistant. CoRR abs/2001.09925 (2020) - [i11]Alexander LeClair, Sakib Haque, Lingfei Wu, Collin McMillan:
Improved Code Summarization via a Graph Neural Network. CoRR abs/2004.02843 (2020) - [i10]Sakib Haque, Alexander LeClair, Lingfei Wu, Collin McMillan:
Improved Automatic Summarization of Subroutines via Attention to File Context. CoRR abs/2004.04881 (2020)
2010 – 2019
- 2019
- [c44]Paige Rodeghero, Collin McMillan:
Detecting Important Terms in Source Code for Program Comprehension. HICSS 2019: 1-10 - [c43]Alexander LeClair, Siyuan Jiang, Collin McMillan:
A neural model for generating natural language summaries of program subroutines. ICSE 2019: 795-806 - [c42]Alexander LeClair, Collin McMillan:
Recommendations for Datasets for Source Code Summarization. NAACL-HLT (1) 2019: 3931-3937 - [i9]Alexander LeClair, Siyuan Jiang, Collin McMillan:
A Neural Model for Generating Natural Language Summaries of Program Subroutines. CoRR abs/1902.01954 (2019) - [i8]Robert Wallace, Collin McMillan:
EyeDoc: Documentation Navigation with Eye Tracking. CoRR abs/1903.00040 (2019) - [i7]Alexander LeClair, Collin McMillan:
Recommendations for Datasets for Source Code Summarization. CoRR abs/1904.02660 (2019) - [i6]Zachary Eberhart, Alexander LeClair, Collin McMillan:
Automatically Extracting Subroutine Summary Descriptions from Unstructured Comments. CoRR abs/1912.10198 (2019) - 2018
- [j13]Ameer Armaly, Paige Rodeghero, Collin McMillan:
A Comparison of Program Comprehension Strategies by Blind and Sighted Programmers. IEEE Trans. Software Eng. 44(8): 712-724 (2018) - [j12]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): 897-913 (2018) - [c41]Ameer Armaly, Paige Rodeghero, Collin McMillan:
A comparison of program comprehension strategies by blind and sighted programmers. ICSE 2018: 788 - [c40]Ameer Armaly, Paige Rodeghero, Collin McMillan:
AudioHighlight: Code Skimming for Blind Programmers. ICSME 2018: 206-216 - [c39]Alexander LeClair, Zachary Eberhart, Collin McMillan:
Adapting Neural Text Classification for Improved Software Categorization. ICSME 2018: 461-472 - [c38]Rrezarta Krasniqi, Collin McMillan:
TraceLab Components for Generating Speech Act Types in Developer Question/Answer Conversations. ICSME 2018: 713 - [c37]Andrew Wood, Paige Rodeghero, Ameer Armaly, Collin McMillan:
Detecting speech act types in developer question/answer conversations during bug repair. ESEC/SIGSOFT FSE 2018: 491-502 - [i5]Alexander LeClair, Zachary Eberhart, Collin McMillan:
Adapting Neural Text Classification for Improved Software Categorization. CoRR abs/1806.01742 (2018) - [i4]Andrew Wood, Paige Rodeghero, Ameer Armaly, Collin McMillan:
Detecting Speech Act Types in Developer Question/Answer Conversations During Bug Repair. CoRR abs/1806.05130 (2018) - 2017
- [j11]Siyuan Jiang, Collin McMillan, Raúl A. Santelices:
Do Programmers do Change Impact Analysis in Debugging? Empir. Softw. Eng. 22(2): 631-669 (2017) - [c36]Paige Rodeghero, Collin McMillan, Abigail Shirey:
API Usage in Descriptions of Source Code Functionality. WAPI@ICSE 2017: 3-6 - [c35]Paige Rodeghero, Siyuan Jiang, Ameer Armaly, Collin McMillan:
Detecting user story information in developer-client conversations to generate extractive summaries. ICSE 2017: 49-59 - [c34]Rrezarta Krasniqi, Siyuan Jiang, Collin McMillan:
TraceLab Components for Generating Extractive Summaries of User Stories. ICSME 2017: 658 - [c33]Siyuan Jiang, Collin McMillan:
Towards automatic generation of short summaries of commits. ICPC 2017: 320-323 - [c32]Siyuan Jiang, Ameer Armaly, Collin McMillan, Qiyu Zhi, Ronald A. Metoyer:
Docio: documenting API input/output examples. ICPC 2017: 364-367 - [c31]Siyuan Jiang, Ameer Armaly, Collin McMillan:
Automatically generating commit messages from diffs using neural machine translation. ASE 2017: 135-146 - [c30]Breno Dantas Cruz, Bargav Jayaraman, Anurag Dwarakanath, Collin McMillan:
Detecting Vague Words & Phrases in Requirements Documents in a Multilingual Environment. RE 2017: 233-242 - [i3]Siyuan Jiang, Collin McMillan:
Towards Automatic Generation of Short Summaries of Commits. CoRR abs/1703.09603 (2017) - [i2]Siyuan Jiang, Ameer Armaly, Collin McMillan, Qiyu Zhi, Ronald A. Metoyer:
Docio: Documenting API Input/Output Examples. CoRR abs/1703.09613 (2017) - [i1]Siyuan Jiang, Ameer Armaly, Collin McMillan:
Automatically Generating Commit Messages from Diffs using Neural Machine Translation. CoRR abs/1708.09492 (2017) - 2016
- [j10]Paul W. McBurney, Collin McMillan:
An empirical study of the textual similarity between source code and source code summaries. Empir. Softw. Eng. 21(1): 17-42 (2016) - [j9]Paul W. McBurney, Cheng Liu, Collin McMillan:
Automated feature discovery via sentence selection and source code summarization. J. Softw. Evol. Process. 28(2): 120-145 (2016) - [j8]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): 542-564 (2016) - [j7]Ameer Armaly, Collin McMillan:
Pragmatic source code reuse via execution record and replay. J. Softw. Evol. Process. 28(8): 642-664 (2016) - [j6]Paul W. McBurney, Collin McMillan:
Automatic Source Code Summarization of Context for Java Methods. IEEE Trans. Software Eng. 42(2): 103-119 (2016) - [c29]Collin McMillan, Amanda Rodda-Tyler:
Collaborative software engineering education between college seniors and blind high school students. ICSE (Companion Volume) 2016: 360-363 - [c28]Paige Rodeghero, Collin McMillan:
Discovering important source code terms. ICSE (Companion Volume) 2016: 671-673 - [c27]Ameer Armaly, Collin McMillan:
An empirical study of blindness and program comprehension. ICSE (Companion Volume) 2016: 683-685 - [c26]Ameer Armaly, John Klaczynski, Collin McMillan:
A Case Study of Automated Feature Location Techniques for Industrial Cost Estimation. ICSME 2016: 553-562 - [c25]Breno Dantas Cruz, Paul W. McBurney, Collin McMillan:
TraceLab Components for Reproducing Source Code Summarization Experiments. ICSME 2016: 610 - 2015
- [j5]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): 1038-1054 (2015) - [c24]Paige Rodeghero, Collin McMillan:
An Empirical Study on the Patterns of Eye Movement during Summarization Tasks. ESEM 2015: 11-20 - 2014
- [j4]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): 582-618 (2014) - [j3]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): 1-2 (2014) - [c23]Collin McMillan, Richard Oosterhoff:
Teaching students to understand large programs by understanding historical context. ICSE Companion 2014: 287-290 - [c22]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: 390-401 - [c21]Ameer Armaly, Casey Ferris, Collin McMillan:
Reusable execution replay: execution record and replay for source code reuse. ICSE Companion 2014: 480-483 - [c20]Da Huo, Tao Ding, Collin McMillan, Malcom Gethers:
An Empirical Study of the Effects of Expert Knowledge on Bug Reports. ICSME 2014: 1-10 - [c19]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: 232-243 - [c18]Paul W. McBurney, Collin McMillan:
Automatic documentation generation via source code summarization of method context. ICPC 2014: 279-290 - [c17]Paul W. McBurney, Cheng Liu, Collin McMillan, Tim Weninger:
Improving topic model source code summarization. ICPC 2014: 291-294 - [c16]Mark Grechanik, Collin McMillan, Tathagata Dasgupta, Denys Poshyvanyk, Malcom Gethers:
Redacting sensitive information in software artifacts. ICPC 2014: 314-325 - 2013
- [j2]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): 37:1-37:30 (2013) - [c15]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: 199-208 - [c14]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: 646-651 - 2012
- [j1]Collin McMillan, Mark Grechanik, Denys Poshyvanyk, Chen Fu, Qing Xie:
Exemplar: A Source Code Search Engine for Finding Highly Relevant Applications. IEEE Trans. Software Eng. 38(5): 1069-1087 (2012) - [c13]Collin McMillan, Mark Grechanik, Denys Poshyvanyk:
Detecting similar software applications. ICSE 2012: 364-374 - [c12]Collin McMillan, Negar Hariri, Denys Poshyvanyk, Jane Cleland-Huang, Bamshad Mobasher:
Recommending source code for use in rapid software prototypes. ICSE 2012: 848-858 - 2011
- [c11]Collin McMillan, Mark Grechanik, Denys Poshyvanyk, Qing Xie, Chen Fu:
Portfolio: finding relevant functions and their usage. ICSE 2011: 111-120 - [c10]Collin McMillan, Mark Grechanik, Denys Poshyvanyk, Qing Xie, Chen Fu:
Portfolio: a search engine for finding functions and their usages. ICSE 2011: 1043-1045 - [c9]Collin McMillan:
Searching, selecting, and synthesizing source code. ICSE 2011: 1124-1125 - [c8]Collin McMillan:
Finding relevant functions in millions of lines of code. ICSE 2011: 1170-1172 - [c7]Collin McMillan, Mario Linares Vásquez, Denys Poshyvanyk, Mark Grechanik:
Categorizing software applications for maintenance. ICSM 2011: 343-352 - 2010
- [c6]Mark Grechanik, Collin McMillan, Luca DeFerrari, Marco Comi, Stefano Crespi-Reghizzi, Denys Poshyvanyk, Chen Fu, Qing Xie, Carlo Ghezzi:
An empirical investigation into a large-scale Java open source code repository. ESEM 2010 - [c5]Collin McMillan, Denys Poshyvanyk, Mark Grechanik:
Recommending source code examples via API call usages and documentation. RSSE@ICSE 2010: 21-25 - [c4]Mark Grechanik, Chen Fu, Qing Xie, Collin McMillan, Denys Poshyvanyk, Chad M. Cumby:
Exemplar: EXEcutable exaMPLes ARchive. ICSE (2) 2010: 259-262 - [c3]Mark Grechanik, Chen Fu, Qing Xie, Collin McMillan, Denys Poshyvanyk, Chad M. Cumby:
A search engine for finding highly relevant applications. ICSE (1) 2010: 475-484
2000 – 2009
- 2009
- [c2]George Louthan, Collin McMillan, Christopher Johnson, John Hale:
Toward Robust and Extensible Automatic Protocol Identification. International Conference on Internet Computing 2009: 104-108 - [c1]Collin McMillan, Denys Poshyvanyk, Meghan Revelle:
Combining textual and structural analysis of software artifacts for traceability link recovery. TEFSE@ICSE 2009: 41-48
Coauthor Index
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