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

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)
dblp.uni-trier.de

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)
xplorestaging.ieee.org
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)
xplorestaging.ieee.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)
xplorestaging.ieee.org
Towards Queryable and Traceable Domain Models
Rijul Saini, Gunter Mussbacher, Jin L.C. Guo and Jorg Kienzle
RE 2020
(2020-08-01)
ieeexplore.ieee.org

2020-07

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)
dblp.uni-trier.dePDF

2020-04

ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models.
Wenting Wang, Deeksha M. Arya, Nicole Novielli, Jinghui Cheng and Jin L. C. Guo
CHI 2020
(2020-04-21)
ui.adsabs.harvard.edu
ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models.
Wenting Wang, Deeksha Arya, Nicole Novielli, Jinghui Cheng and Jin L. C. Guo
CHI 2020
(2020-04-21)
ui.adsabs.harvard.eduPDF
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)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF

2020-01

How Do Open Source Software Contributors Perceive and Address Usability? Valued Factors, Practices, and Challenges
Wenting Wang, Jinghui Cheng and Jin L. C. Guo

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)
dblp.uni-trier.de

2019-09

Teaching Modelling Literacy: An Artificial Intelligence Approach
Rijul Saini, Gunter Mussbacher, Jin L.C. Guo and Joerg Kienzle
MODELS 2019
(2019-09-01)
doi.org
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)
dblp.uni-trier.de

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
CHI 2019
(2019-05-02)
dblp.uni-trier.de
Usability of Virtual Reality Application Through the Lens of the User Community: A Case Study
Wenting Wang, Jinghui Cheng and Jin L.C. Guo
CHI 2019
(2019-05-02)
dblp.uni-trier.dePDF

2019-02

How Do the Open Source Communities Address Usability and UX Issues? An Exploratory Study
Jinghui Cheng and Jin L. C. Guo
arXiv: Human-Computer Interaction
(2019-02-20)
arxiv.org

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)
dblp.uni-trier.de

Publications collected and formatted using Paperoni

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