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ORCIDJin L. C. Guo
Jin Guo 0004
Person information
- affiliation: McGill University, Montreal, PQ, Canada
- affiliation (former): University of Notre Dame
- affiliation (former): DePaul University
Other persons with the same name
- Jin Guo — disambiguation page
- Jin Guo 0001 — IMEC, Leuven, Belgium
- Jin Guo 0002 — Queen's University, Kingston, ON, Canada
- Jin Guo 0003
![[0000-0003-3863-8811]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3863-8811")
— University of Science and Technology Beijing, School of Automation and Electrical Engineering, China - Jin Guo 0005 — Towson University, Towson, MD, USA
- Jin Guo 0006 — National University of Singapore, Department of Biomedical Engineering, Singapore
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2020 – today
- 2024
[j11]Deeksha M. Arya, Jin L. C. Guo, Martin P. Robillard:
Properties and Styles of Software Technology Tutorials. IEEE Trans. Software Eng. 50(2): 159-172 (2024)- [c43]Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Antonette Shibani, Disha Shrivastava, Lila Shroff, Agnia Sergeyuk, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia Ha Rim Rho, Zejiang Shen, Pao Siangliulue:
A Design Space for Intelligent and Interactive Writing Assistants. CHI 2024: 1054:1-1054:35 - [c42]Anh Dau, Jin L. C. Guo, Nghi D. Q. Bui:
DocChecker: Bootstrapping Code Large Language Model for Detecting and Resolving Code-Comment Inconsistencies. EACL (Demonstrations) 2024: 187-194 - [i28]Jiayi Sun, Aarya Patil, Youhai Li, Jin L. C. Guo, Shurui Zhou:
How to Sustain a Scientific Open-Source Software Ecosystem: Learning from the Astropy Project. CoRR abs/2402.15081 (2024) - [i27]Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Agnia Sergeyuk, Antonette Shibani, Disha Shrivastava, Lila Shroff, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia H. Rho, Shannon Zejiang Shen, Pao Siangliulue:
A Design Space for Intelligent and Interactive Writing Assistants. CoRR abs/2403.14117 (2024) - 2023
- [j10]Deeksha M. Arya, Jin L. C. Guo, Martin P. Robillard:
How programmers find online learning resources. Empir. Softw. Eng. 28(1): 23 (2023) - [j9]Saskia Gilmer, Avinash Bhat, Shuvam Shah, Kevin Cherry, Jinghui Cheng, Jin L. C. Guo:
SUMMIT: Scaffolding Open Source Software Issue Discussion Through Summarization. Proc. ACM Hum. Comput. Interact. 7(CSCW2): 1-27 (2023) - [c41]Hung Quoc To, Nghi D. Q. Bui, Jin L. C. Guo, Tien N. Nguyen:
Better Language Models of Code through Self-Improvement. ACL (Findings) 2023: 12994-13002 - [c40]Andrey Sobolevsky, Guillaume-Alexandre Bilodeau, Jinghui Cheng, Jin L. C. Guo:
GUILGET: GUI Layout GEneration with Transformer. Canadian AI 2023 - [c39]Avinash Bhat, Austin Coursey, Grace Hu, Sixian Li, Nadia Nahar, Shurui Zhou, Christian Kästner, Jin L. C. Guo:
Aspirations and Practice of ML Model Documentation: Moving the Needle with Nudging and Traceability. CHI 2023: 749:1-749:17 - [c38]Dung Nguyen Manh, Le Nam Hai, Anh T. V. Dau, Anh Minh Nguyen, Khanh Nghiem, Jin Guo, Nghi D. Q. Bui:
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation. EMNLP (Findings) 2023: 4763-4788 - [i26]Hung Quoc To, Nghi D. Q. Bui, Jin Guo, Tien N. Nguyen:
Better Language Models of Code through Self-Improvement. CoRR abs/2304.01228 (2023) - [i25]Avinash Bhat, Disha Shrivastava, Jin L. C. Guo:
Approach Intelligent Writing Assistants Usability with Seven Stages of Action. CoRR abs/2304.02822 (2023) - [i24]Andrey Sobolevsky, Guillaume-Alexandre Bilodeau, Jinghui Cheng, Jin L. C. Guo:
GUILGET: GUI Layout GEneration with Transformer. CoRR abs/2304.09012 (2023) - [i23]Dung Nguyen Manh, Nam Le Hai, Anh T. V. Dau, Anh Minh Nguyen, Khanh Nghiem, Jin Guo, Nghi D. Q. Bui:
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation. CoRR abs/2305.06156 (2023) - [i22]Anh T. V. Dau, Nghi D. Q. Bui, Jin L. C. Guo:
Bootstrapping Code-Text Pretrained Language Model to Detect Inconsistency Between Code and Comment. CoRR abs/2306.06347 (2023) - [i21]Saskia Gilmer, Avinash Bhat, Shuvam Shah, Kevin Cherry, Jinghui Cheng, Jin L. C. Guo:
SUMMIT: Scaffolding OSS Issue Discussion Through Summarization. CoRR abs/2308.02780 (2023) - 2022
- [j8]Supatsara Wattanakriengkrai, Bodin Chinthanet, Hideaki Hata, Raula Gaikovina Kula, Christoph Treude, Jin Guo, Kenichi Matsumoto:
GitHub repositories with links to academic papers: Public access, traceability, and evolution. J. Syst. Softw. 183: 111117 (2022) - [j7]Wenting Wang, Jinghui Cheng, Jin L. C. Guo:
How Do Open Source Software Contributors Perceive and Address Usability?: Valued Factors, Practices, and Challenges. IEEE Softw. 39(1): 76-83 (2022) - [j6]Nelly Bencomo, Jin L. C. Guo, Rachel Harrison, Hans-Martin Heyn, Tim Menzies:
The Secret to Better AI and Better Software (Is Requirements Engineering). IEEE Softw. 39(1): 105-110 (2022) - [j5]Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle:
Automated, interactive, and traceable domain modelling empowered by artificial intelligence. Softw. Syst. Model. 21(3): 1015-1045 (2022) - [c37]Mohammad Amin Mozaffari, Xinyuan Zhang, Jinghui Cheng, Jin L. C. Guo:
GANSpiration: Balancing Targeted and Serendipitous Inspiration in User Interface Design with Style-Based Generative Adversarial Network. CHI 2022: 537:1-537:15 - [c36]Jazlyn Hellman, Jiahao Chen, Md. Sami Uddin, Jinghui Cheng, Jin L. C. Guo:
Characterizing User Behaviors in Open-Source Software User Forums: An Empirical Study. CHASE@ICSE 2022: 46-55 - [c35]James Martin, Jin L. C. Guo:
Deep API learning revisited. ICPC 2022: 321-330 - [c34]Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle:
Machine learning-based incremental learning in interactive domain modelling. MoDELS 2022: 176-186 - [c33]Yechuan Shi, Jörg Kienzle, Jin L. C. Guo:
Feature-oriented modularization of deep learning APIs. MoDELS (Companion) 2022: 367-374 - [i20]Mohammad Amin Mozaffari, Xinyuan Zhang, Jinghui Cheng, Jin L. C. Guo:
GANSpiration: Balancing Targeted and Serendipitous Inspiration in User Interface Design with Style-Based Generative Adversarial Network. CoRR abs/2203.03827 (2022) - [i19]Jazlyn Hellman, Jiahao Chen, Md. Sami Uddin, Jinghui Cheng, Jin L. C. Guo:
Characterizing User Behaviors in Open-Source Software User Forums: An Empirical Study. CoRR abs/2204.03770 (2022) - [i18]Avinash Bhat, Austin Coursey, Grace Hu, Sixian Li, Nadia Nahar, Shurui Zhou, Christian Kästner, Jin L. C. Guo:
Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability. CoRR abs/2204.06425 (2022) - [i17]James Martin, Jin L. C. Guo:
Deep API Learning Revisited. CoRR abs/2205.01254 (2022) - 2021
- [c32]Jazlyn Hellman, Jinghui Cheng, Jin L. C. Guo:
Facilitating Asynchronous Participatory Design of Open Source Software: Bringing End Users into the Loop. CHI Extended Abstracts 2021: 438:1-438:7 - [c31]Helen Dong, Shurui Zhou, Jin L. C. Guo, Christian Kästner:
Splitting, Renaming, Removing: A Study of Common Cleaning Activities in Jupyter Notebooks. ASE Workshops 2021: 114-119 - [c30]Chenyang Yang, Shurui Zhou, Jin L. C. Guo, Christian Kästner:
Subtle Bugs Everywhere: Generating Documentation for Data Wrangling Code. ASE 2021: 304-316 - [c29]Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle:
DoMoBOT: An AI-Empowered Bot for Automated and Interactive Domain Modelling. MoDELS (Companion) 2021: 595-599 - [c28]Alexander Nicholson, Jin L. C. Guo:
Issue Link Label Recovery and Prediction for Open Source Software. RE Workshops 2021: 126-135 - [c27]Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle:
Automated Traceability for Domain Modelling Decisions Empowered by Artificial Intelligence. RE 2021: 173-184 - [c26]Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle:
DoMoBOT: A Modelling Bot for Automated and Traceable Domain Modelling. RE 2021: 428-429 - [i16]Jazlyn Hellman, Jinghui Cheng, Jin L. C. Guo:
Facilitating Asynchronous Participatory Design of Open Source Software: Bringing End Users into the Loop. CoRR abs/2102.12518 (2021) - [i15]Hideaki Hata, Jin L. C. Guo, Raula Gaikovina Kula, Christoph Treude:
Science-Software Linkage: The Challenges of Traceability between Scientific Knowledge and Software Artifacts. CoRR abs/2104.05891 (2021) - [i14]Alexander Nicholson, Jin L. C. Guo:
Issue Link Label Recovery and Prediction for Open Source Software. CoRR abs/2108.04415 (2021) - [i13]Jazlyn Hellman, Eunbee Jang, Christoph Treude, Chenzhun Huang, Jin L. C. Guo:
Generating GitHub Repository Descriptions: A Comparison of Manual and Automated Approaches. CoRR abs/2110.13283 (2021) - 2020
- [j4]Deeksha M. Arya, Jin L. C. Guo, Martin P. Robillard:
Information correspondence between types of documentation for APIs. Empir. Softw. Eng. 25(5): 4069-4096 (2020) - [j3]Davide Falessi, Justin Roll, Jin L. C. Guo, Jane Cleland-Huang:
Leveraging Historical Associations between Requirements and Source Code to Identify Impacted Classes. IEEE Trans. Software Eng. 46(4): 420-441 (2020) - [c25]Yalin Liu, Jinfeng Lin, Jane Cleland-Huang, Michael Vierhauser, Jin L. C. Guo, Sugandha Lohar:
SENET: A Semantic Web for Supporting Automation of Software Engineering Tasks. AIRE@RE 2020: 23-32 - [c24]Alexander Nicholson, Deeksha M. Arya, Jin L. C. Guo:
Traceability Network Analysis: A Case Study of Links in Issue Tracking Systems. AIRE@RE 2020: 39-47 - [c23]Wenting Wang, Deeksha M. Arya, Nicole Novielli, Jinghui Cheng, Jin L. C. Guo:
ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models. CHI 2020: 1-14 - [c22]Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle:
DoMoBOT: a bot for automated and interactive domain modelling. MoDELS (Companion) 2020: 45:1-45:10 - [c21]Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle:
A Neural Network Based Approach to Domain Modelling Relationships and Patterns Recognition. MoDRE@RE 2020: 78-82 - [c20]Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle:
Towards Queryable and Traceable Domain Models. RE 2020: 334-339 - [i12]Wenting Wang, Deeksha M. Arya, Nicole Novielli, Jinghui Cheng, Jin L. C. Guo:
ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models. CoRR abs/2001.06067 (2020) - [i11]Supatsara Wattanakriengkrai, Bodin Chinthanet, Hideaki Hata, Raula Gaikovina Kula, Christoph Treude, Jin L. C. Guo, Kenichi Matsumoto:
GitHub Repositories with Links to Academic Papers: Open Access, Traceability, and Evolution. CoRR abs/2004.00199 (2020) - [i10]Kian Ahrabian, Daniel Tarlow, Hehuimin Cheng, Jin L. C. Guo:
Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs. CoRR abs/2007.01231 (2020) - [i9]Wenting Wang, Jinghui Cheng, Jin L. C. Guo:
How Do Open Source Software Contributors Perceive and Address Usability? Valued Factors, Practices, and Challenges. CoRR abs/2007.06654 (2020)
2010 – 2019
- 2019
- [j2]Jan-Philipp Steghöfer, Nan Niu, Jin L. C. Guo, Anas Mahmoud:
SST'19 - Software and Systems Traceability: Summary of the 10th International Workshop at the 41st International Conference on Software Engineering (ICSE), May 27, 2019. ACM SIGSOFT Softw. Eng. Notes 44(3): 43-47 (2019) - [c19]Wenting Wang, Jinghui Cheng, Jin L. C. Guo:
Usability of Virtual Reality Application Through the Lens of the User Community: A Case Study. CHI Extended Abstracts 2019 - [c18]Jinghui Cheng, Jin L. C. Guo:
Activity-based analysis of open source software contributors: roles and dynamics. CHASE@ICSE 2019: 11-18 - [c17]Deeksha M. Arya, Wenting Wang, Jin L. C. Guo, Jinghui Cheng:
Analysis and detection of information types of open source software issue discussions. ICSE 2019: 454-464 - [c16]Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle:
Teaching Modelling Literacy: An Artificial Intelligence Approach. MoDELS (Companion) 2019: 714-719 - [c15]Mona Rahimi, Jin L. C. Guo, Sahar Kokaly, Marsha Chechik:
Toward Requirements Specification for Machine-Learned Components. RE Workshops 2019: 241-244 - [c14]Michael Rath, Jacob Rendall, Jin L. C. Guo, Jane Cleland-Huang, Patrick Mäder:
Traceability in the Wild: Automatically Augmenting Incomplete Trace Links. SE/SWM 2019: 63 - [i8]Deeksha M. Arya, Wenting Wang, Jin L. C. Guo, Jinghui Cheng:
Analysis and Detection of Information Types of Open Source Software Issue Discussions. CoRR abs/1902.07093 (2019) - [i7]Jinghui Cheng, Jin L. C. Guo:
How Do the Open Source Communities Address Usability and UX Issues? An Exploratory Study. CoRR abs/1902.07704 (2019) - [i6]Wenting Wang, Jinghui Cheng, Jin L. C. Guo:
Usability of Virtual Reality Application Through the Lens of the User Community: A Case Study. CoRR abs/1902.07705 (2019) - [i5]Jinghui Cheng, Jin L. C. Guo:
Activity-Based Analysis of Open Source Software Contributors: Roles and Dynamics. CoRR abs/1903.05277 (2019) - 2018
- [c13]Jinghui Cheng, Jin L. C. Guo:
How Do the Open Source Communities Address Usability and UX Issues?: An Exploratory Study. CHI Extended Abstracts 2018 - [c12]Michael Rath, Jacob Rendall, Jin L. C. Guo, Jane Cleland-Huang, Patrick Mäder:
Traceability in the wild: automatically augmenting incomplete trace links. ICSE 2018: 834-845 - [c11]Jin L. C. Guo, Natawut Monaikul, Jane Cleland-Huang:
Domain Knowledge Discovery Guided by Software Trace Links. AIRE@RE 2018: 1-7 - [i4]Michael Rath, Jacob Rendall, Jin L. C. Guo, Jane Cleland-Huang, Patrick Maeder:
Traceability in the Wild: Automatically Augmenting Incomplete Trace Links. CoRR abs/1804.02433 (2018) - [i3]Jin Guo, Jinghui Cheng, Jane Cleland-Huang:
Semantically Enhanced Software Traceability Using Deep Learning Techniques. CoRR abs/1804.02438 (2018) - [i2]Jin L. C. Guo, Natawut Monaikul, Jane Cleland-Huang:
Domain Knowledge Discovery Guided by Software Trace Links. CoRR abs/1808.05209 (2018) - [i1]Davide Falessi, Justin Roll, Jin Guo, Jane Cleland-Huang:
Leveraging Historical Associations between Requirements and Source Code to Identify Impacted Classes. CoRR abs/1808.06359 (2018) - 2017
- [j1]Jin Guo, Marek Gibiec, Jane Cleland-Huang:
Tackling the term-mismatch problem in automated trace retrieval. Empir. Softw. Eng. 22(3): 1103-1142 (2017) - [c10]Jinghui Cheng, Dorian Anderson, Cynthia Putnam, Jin Guo:
Leveraging Design Patterns to Support Designer-Therapist Collaboration When Ideating Brain Injury Therapy Games. CHI PLAY 2017: 291-303 - [c9]Jin Guo, Jinghui Cheng, Jane Cleland-Huang:
Semantically enhanced software traceability using deep learning techniques. ICSE 2017: 3-14 - [c8]Jinfeng Lin, Yalin Liu, Jin Guo, Jane Cleland-Huang, William Goss, Wenchuang Liu, Sugandha Lohar, Natawut Monaikul, Alexander Rasin:
TiQi: a natural language interface for querying software project data. ASE 2017: 973-977 - 2016
- [c7]Jinghui Cheng, Cynthia Putnam, Jin Guo:
"Always a Tall Order": Values and Practices of Professional Game Designers of Serious Games for Health. CHI PLAY 2016: 217-228 - [c6]Jin Guo, Jane Cleland-Huang:
Ontology learning and its application in software-intensive projects. ICSE (Companion Volume) 2016: 843-846 - [c5]Jin Guo, Mona Rahimi, Jane Cleland-Huang, Alexander Rasin, Jane Huffman Hayes, Michael Vierhauser:
Cold-start software analytics. MSR 2016: 142-153 - 2015
- [c4]Jin Guo, Natawut Monaikul, Jane Cleland-Huang:
Trace links explained: An automated approach for generating rationales. RE 2015: 202-207 - 2014
- [c3]Jane Cleland-Huang, Jin Guo:
Towards more intelligent trace retrieval algorithms. RAISE 2014: 1-6 - [c2]Jin Guo, Natawut Monaikul, Cody Plepel, Jane Cleland-Huang:
Towards an intelligent domain-specific traceability solution. ASE 2014: 755-766 - [e1]Nelly Bencomo, Jane Cleland-Huang, Jin Guo, Rachel Harrison:
IEEE 1st International Workshop on Artificial Intelligence for Requirements Engineering, AIRE 2014, 26 August, 2014, Karlskrona, Sweden. IEEE Computer Society 2014, ISBN 978-1-4799-6355-3 [contents] - 2013
- [c1]Jin Guo, Jane Cleland-Huang, Brian Berenbach:
Foundations for an expert system in domain-specific traceability. RE 2013: 42-51
Coauthor Index
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