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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://dblp.org/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
- 2023
[j9]Deeksha M. Arya, Jin L. C. Guo, Martin P. Robillard:
How programmers find online learning resources. Empir. Softw. Eng. 28(1): 23 (2023)- [c40]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 - [c39]Andrey Sobolevsky, Guillaume-Alexandre Bilodeau, Jinghui Cheng, Jin L. C. Guo:
GUILGET: GUI Layout GEneration with Transformer. Canadian AI 2023 - [c38]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 - [i24]Avinash Bhat, Disha Shrivastava, Jin L. C. Guo:
Approach Intelligent Writing Assistants Usability with Seven Stages of Action. CoRR abs/2304.02822 (2023) - [i23]Andrey Sobolevsky, Guillaume-Alexandre Bilodeau, Jinghui Cheng, Jin L. C. Guo:
GUILGET: GUI Layout GEneration with Transformer. CoRR abs/2304.09012 (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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last updated on 2023-10-01 22:28 CEST by the dblp team
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