Jin L.C. Guo

Mila > About Mila > Team > Jin L.C. Guo
Associate Academic Member
Jin L.C. Guo
Assistant Professor, Professeure adjointe, McGill University
Jin L.C. Guo

Jin L.C. Guo received her PhD from the University of Notre Dame. She is interested in utilizing Artificial Intelligence (AI) techniques to solve Software Engineering (SE) problems. Her recent research focuses on mining domain knowledge from software traceability data and utilizing such knowledge to facilitate automated SE tasks such as trace retrieval and project Q&A. Before her PhD, she worked in the research lab at Fuji Xerox in areas of image processing and computer vision.

Publications

2022-01

GitHub repositories with links to academic papers: Public access, traceability, and evolution
Supatsara Wattanakriengkrai, Bodin Chinthanet, Hideaki Hata, Raula Gaikovina Kula, Christoph Treude, Jin L. C. Guo and Kenichi Matsumoto
Journal of Systems and Software
(2022-01-01)
www.sciencedirect.com

2021-10

Generating GitHub Repository Descriptions: A Comparison of Manual and Automated Approaches.
Jazlyn Hellman, Eunbee Jang, Christoph Treude, Chenzhun Huang and Jin L. C. Guo
arXiv: Software Engineering
(2021-10-26)
dblp.uni-trier.dePDF

2021-09

Issue Link Label Recovery and Prediction for Open Source Software.
Alexander Nicholson and Jin L. C. Guo
2021 IEEE 29th International Requirements Engineering Conference Workshops (REW)
(2021-09-01)
dblp.uni-trier.dePDF

2021-08

Issue Link Label Recovery and Prediction for Open Source Software
Alexander Nicholson and Jin L.C. Guo
arXiv preprint arXiv:2108.04415
(2021-08-10)
ui.adsabs.harvard.eduPDF

2021-05

Facilitating Asynchronous Participatory Design of Open Source Software: Bringing End Users into the Loop
Jazlyn Hellman, Jinghui Cheng and Jin L.C. Guo

2021-04

Science-Software Linkage: The Challenges of Traceability between Scientific Knowledge and Software Artifacts.
Hideaki Hata, Jin L. C. Guo, Raula Gaikovina Kula and Christoph Treude
arXiv preprint arXiv:2104.05891
(2021-04-13)
ui.adsabs.harvard.eduPDF

2020-10

DoMoBOT: a bot for automated and interactive domain modelling
Rijul Saini, Gunter Mussbacher, Jin L. C. Guo and Jörg Kienzle
MODELS 2020
(2020-10-16)
dl.acm.org

2020-09

Traceability Network Analysis: A Case Study of Links in Issue Tracking Systems
Alexander Nicholson, Deeksha M. Arya and Jin L.C. Guo
2020 IEEE Seventh International Workshop on Artificial Intelligence for Requirements Engineering (AIRE)
(2020-09-01)
dblp.uni-trier.de
SENET: A Semantic Web for Supporting Automation of Software Engineering Tasks
Yalin Liu, Jinfeng Lin, Jane Cleland-Huang, Michael Vierhauser, Jin Guo and Sugandha Lohar
2020 IEEE Seventh International Workshop on Artificial Intelligence for Requirements Engineering (AIRE)
(2020-09-01)
doi.org

2020-08

Information correspondence between types of documentation for APIs
Deeksha M. Arya, Jin L. C. Guo and Martin P. Robillard
Empirical Software Engineering
(2020-08-26)
link.springer.com
A Neural Network Based Approach to Domain Modelling Relationships and Patterns Recognition
Rijul Saini, Gunter Mussbacher, Jin L.C. Guo and Jorg Kienzle
2020 IEEE Tenth International Model-Driven Requirements Engineering (MoDRE)
(2020-08-01)
doi.org
Towards Queryable and Traceable Domain Models
Rijul Saini, Gunter Mussbacher, Jin L.C. Guo and Jorg Kienzle
RE 2020
(2020-08-01)
doi.org

2020-07

Historical Issue Data of Projects on Jira
Alexander Nicholson, Deeksha Arya and Jin L.C. Guo
(venue unknown)
(2020-07-13)
zenodo.org
Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs.
Kian Ahrabian, Daniel Tarlow, Hehuimin Cheng and Jin L. C. Guo
arXiv preprint arXiv:2007.01231
(2020-07-02)
ui.adsabs.harvard.eduPDF
How Do Open Source Software Contributors Perceive and Address Usability? Valued Factors, Practices, and Challenges
Wenting Wang, Jinghui Cheng and Jin L.C. Guo

2020-04

ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models
Wenting Wang, Deeksha Arya, Nicole Novielli, Jinghui Cheng and Jin L.C. Guo
GitHub Repositories with Links to Academic Papers: Open Access, Traceability, and Evolution
Supatsara Wattanakriengkrai, Bodin Chinthanet, Hideaki Hata, Raula Gaikovina Kula, Christoph Treude, Jin Guo and Kenichi Matsumoto
arXiv preprint arXiv:2004.00199
(2020-04-01)
ui.adsabs.harvard.eduPDF
Leveraging Historical Associations between Requirements and Source Code to Identify Impacted Classes
Davide Falessi, Justin Roll, Jin L.C. Guo and Jane Cleland-Huang
IEEE Transactions on Software Engineering
(2020-04-01)
ieeexplore.ieee.orgPDF

2019-11

SST'19 - Software and Systems Traceability: Summary of the 10th International Workshop at the 41st International Conference on Software Engineering (ICSE), May 27, 2019
Jan-Philipp Steghöfer, Nan Niu, Jin L.C. Guo and Anas Mahmoud
ACM Sigsoft Software Engineering Notes
(2019-11-14)
dl.acm.org

2019-09

Teaching modelling literacy: an artificial intelligence approach
Rijul Saini, Gunter Mussbacher, Jin L.C. Guo and Joerg Kienzle
MODELS 2019
(2019-09-15)
dblp.uni-trier.de
Toward Requirements Specification for Machine-Learned Components
Mona Rahimi, Jin L.C. Guo, Sahar Kokaly and Marsha Chechik
2019 IEEE 27th International Requirements Engineering Conference Workshops (REW)
(2019-09-01)
www.computer.org

2019-05

Activity-based analysis of open source software contributors: roles and dynamics
Jinghui Cheng and Jin L. C. Guo
Analysis and detection of information types of open source software issue discussions
Deeksha Arya, Wenting Wang, Jin L. C. Guo and Jinghui Cheng
Usability of Virtual Reality Application Through the Lens of the User Community: A Case Study
Wenting Wang, Jinghui Cheng and Jin L.C. Guo

2019-02

How Do the Open Source Communities Address Usability and UX Issues? An Exploratory Study
Jinghui Cheng and Jin L.C. Guo
arXiv preprint arXiv:1902.07704
(2019-02-20)
ui.adsabs.harvard.edu

2019-01

Traceability in the Wild: Automatically Augmenting Incomplete Trace Links.
Michael Rath, Jacob Rendall, Jin L. C. Guo, Jane Cleland-Huang and Patrick Mäder
SE/SWM
(2019-01-01)
doi.org

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