Jin L. C. Guo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 61

Top Topics

Artificial Intelligence

Software Engineering

Top Venues

MoDELS (Companion)

Publications

Deeksha M. Arya, Jin L. C. Guo, Martin P. Robillard
Properties and Styles of Software Technology Tutorials. IEEE Trans. Software Eng. 50 (2) (2024)
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) (2023)
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 (2023)
Saskia Gilmer, Avinash Bhat, Shuvam Shah, Kevin Cherry, Jinghui Cheng, Jin L. C. Guo
SUMMIT: Scaffolding OSS Issue Discussion Through Summarization. CoRR (2023)
Andrey Sobolevsky, Guillaume-Alexandre Bilodeau, Jinghui Cheng, Jin L. C. Guo
GUILGET: GUI Layout GEneration with Transformer. Canadian AI (2023)
Avinash Bhat, Disha Shrivastava, Jin L. C. Guo
Approach Intelligent Writing Assistants Usability with Seven Stages of Action. CoRR (2023)
Deeksha M. Arya, Jin L. C. Guo, Martin P. Robillard
How programmers find online learning resources. Empir. Softw. Eng. 28 (1) (2023)
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)
Andrey Sobolevsky, Guillaume-Alexandre Bilodeau, Jinghui Cheng, Jin L. C. Guo
GUILGET: GUI Layout GEneration with Transformer. CoRR (2023)
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)
Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle
Machine learning-based incremental learning in interactive domain modelling. MoDELS (2022)
James Martin, Jin L. C. Guo
Deep API Learning Revisited. CoRR (2022)
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) (2022)
James Martin, Jin L. C. Guo
Deep API learning revisited. ICPC (2022)
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) (2022)
Yechuan Shi, Jörg Kienzle, Jin L. C. Guo
Feature-oriented modularization of deep learning APIs. MoDELS (Companion) (2022)
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 (2022)
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)
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)
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) (2022)
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 (2022)
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 (2022)
Chenyang Yang, Shurui Zhou, Jin L. C. Guo, Christian Kästner
Subtle Bugs Everywhere: Generating Documentation for Data Wrangling Code. ASE (2021)
Alexander Nicholson, Jin L. C. Guo
Issue Link Label Recovery and Prediction for Open Source Software. CoRR (2021)
Alexander Nicholson, Jin L. C. Guo
Issue Link Label Recovery and Prediction for Open Source Software. RE Workshops (2021)
Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle
Automated Traceability for Domain Modelling Decisions Empowered by Artificial Intelligence. RE (2021)
Jazlyn Hellman, Eunbee Jang, Christoph Treude, Chenzhun Huang, Jin L. C. Guo
Generating GitHub Repository Descriptions: A Comparison of Manual and Automated Approaches. CoRR (2021)
Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle
DoMoBOT: A Modelling Bot for Automated and Traceable Domain Modelling. RE (2021)
Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle
DoMoBOT: An AI-Empowered Bot for Automated and Interactive Domain Modelling. MoDELS (Companion) (2021)
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)
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 (2021)
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)
Jazlyn Hellman, Jinghui Cheng, Jin L. C. Guo
Facilitating Asynchronous Participatory Design of Open Source Software: Bringing End Users into the Loop. CoRR (2021)
Alexander Nicholson, Deeksha M. Arya, Jin L. C. Guo
Traceability Network Analysis: A Case Study of Links in Issue Tracking Systems. AIRE@RE (2020)
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)
Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle
DoMoBOT: a bot for automated and interactive domain modelling. MoDELS (Companion) (2020)
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 (2020)
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)
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 (2020)
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)
Kian Ahrabian, Daniel Tarlow, Hehuimin Cheng, Jin L. C. Guo
Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs. CoRR (2020)
Wenting Wang, Jinghui Cheng, Jin L. C. Guo
How Do Open Source Software Contributors Perceive and Address Usability? Valued Factors, Practices, and Challenges. CoRR (2020)
Deeksha M. Arya, Jin L. C. Guo, Martin P. Robillard
Information correspondence between types of documentation for APIs. Empir. Softw. Eng. 25 (5) (2020)
Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle
Towards Queryable and Traceable Domain Models. RE (2020)
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) (2020)
Deeksha M. Arya, Wenting Wang, Jin L. C. Guo, Jinghui Cheng
Analysis and Detection of Information Types of Open Source Software Issue Discussions. CoRR (2019)
Mona Rahimi, Jin L. C. Guo, Sahar Kokaly, Marsha Chechik
Toward Requirements Specification for Machine-Learned Components. RE Workshops (2019)
Jinghui Cheng, Jin L. C. Guo
Activity-based analysis of open source software contributors: roles and dynamics. CHASE@ICSE (2019)
Jinghui Cheng, Jin L. C. Guo
How Do the Open Source Communities Address Usability and UX Issues? An Exploratory Study. CoRR (2019)
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)
Wenting Wang, Jinghui Cheng, Jin L. C. Guo
Usability of Virtual Reality Application Through the Lens of the User Community: A Case Study. CoRR (2019)
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)
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) (2019)
Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle
Teaching Modelling Literacy: An Artificial Intelligence Approach. MoDELS (Companion) (2019)
Jinghui Cheng, Jin L. C. Guo
Activity-Based Analysis of Open Source Software Contributors: Roles and Dynamics. CoRR (2019)
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)
Michael Rath, Jacob Rendall, Jin L. C. Guo, Jane Cleland-Huang, Patrick Maeder
Traceability in the Wild: Automatically Augmenting Incomplete Trace Links. CoRR (2018)
Jin L. C. Guo, Natawut Monaikul, Jane Cleland-Huang
Domain Knowledge Discovery Guided by Software Trace Links. AIRE@RE (2018)
Jin L. C. Guo, Natawut Monaikul, Jane Cleland-Huang
Domain Knowledge Discovery Guided by Software Trace Links. CoRR (2018)
Michael Rath, Jacob Rendall, Jin L. C. Guo, Jane Cleland-Huang, Patrick Mäder
Traceability in the wild: automatically augmenting incomplete trace links. ICSE (2018)
Jinghui Cheng, Jin L. C. Guo
How Do the Open Source Communities Address Usability and UX Issues?: An Exploratory Study. CHI Extended Abstracts (2018)