Jin L.C. Guo

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Membre Académique Associé
Jin L.C. Guo
Professeure adjointe, McGill University
Jin L.C. Guo
https://www.cs.mcgill.ca/~jguo/

Jin L.C. Guo a obtenu son doctorat de l’Université de Notre Dame. Elle s’intéresse à l’utilisation des techniques d’intelligence artificielle (IA) pour résoudre des problèmes de génie logiciel (SE). Ses recherches récentes portent sur la connaissance du domaine minier à partir des données de traçabilité logicielle et sur l’utilisation de ces connaissances pour faciliter les tâches automatisées de SE telles que la recherche de traces et les questions et réponses sur les projets. Avant son doctorat, elle a travaillé au laboratoire de recherche de Fuji Xerox dans les domaines du traitement de l’image et de la vision par ordinateur.

Publications

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
CHI 2021
(2021-05-08)
dblp.uni-trier.dePDF[Also on arXiv preprint arXiv:2102.12518 (2021-02-24)]

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)
dblp.uni-trier.dePDF

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)
dblp.uni-trier.de

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)
dblp.uni-trier.de
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

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

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
CHI 2020
(2020-04-21)
doi.org[Also on arXiv: Human-Computer Interaction (2020-01-16)]
GitHub Repositories with Links to Academic Papers: Open Access, Traceability, and Evolution.
Supatsara Wattanakriengkrai, Bodin Chinthanet, Hideaki Hata, Raula Gaikovina Kula, Christoph Treude, Jin L. C. 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

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
IEEE Software
(2020-01-01)
dblp.uni-trier.de[LATEST on arXiv preprint arXiv:2007.06654 (2020-07-13)]

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
(2019-09-01)
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)
www.computer.org

2019-05

Activity-based analysis of open source software contributors: roles and dynamics
Jinghui Cheng and Jin L. C. Guo
ICSE 2019
(2019-05-27)
ui.adsabs.harvard.eduPDF[Also on arXiv preprint arXiv:1903.05277 (2019-03-13)]
Analysis and detection of information types of open source software issue discussions
Deeksha Arya, Wenting Wang, Jin L. C. Guo and Jinghui Cheng
ICSE 2019
(2019-05-25)
doi.org[Also on arXiv preprint arXiv:1902.07093 (2019-02-19)]
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[Also on arXiv preprint arXiv:1902.07705 (2019-02-20)]

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.eduPDF

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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