Portrait of Jin Guo

Jin Guo

Associate Academic Member
Assistant Professor, McGill University, School of Computer Science
Website

Biography

Jin L.C. Guo is an assistant professor at the School of Computer Science, McGill University.

She is interested in using AI techniques to solve software engineering problems. Her recent research focuses on mining domain knowledge from software traceability data and using such knowledge to facilitate automated SE tasks, such as trace retrieval and project Q&A.

Guo completed her PhD at the University of Notre Dame. Prior to that, she worked on image processing and computer vision in Fuji Xerox’s research lab.

Current Students

Considine Breandan
Postdoctorate - McGill University
Co-supervisor :
Xujie Si
considib@mila.quebec
Website
Github
Google Scholar
Justine Gehring
Master's Research - McGill University
Co-supervisor :
Danny Tarlow
justine.gehring@mila.quebec
Website
Github
Lyu Fuyuan
PhD - McGill University
Principal supervisor :
Xue (Steve) Liu
fuyuan.lyu@mila.quebec
Website
Github
Google Scholar
Sandrine Bédard
Master's Research - McGill University
Co-supervisor :
AJung Moon
sandrine.bedard@mila.quebec
Sara Tavakoli
Master's Research - McGill University
sara.tavakoli@mila.quebec
Website
Github
Tamara Paris
Master's Research - McGill University
Co-supervisor :
AJung Moon
tamara.paris@mila.quebec
Veronica Xia
Master's Research - McGill University
veronica.xia@mila.quebec

Publications

How Do the Open Source Communities Address Usability and UX Issues?: An Exploratory Study
Jinghui Cheng
Jin Guo
Usability and user experience (UX) issues are often not well emphasized and addressed in open source software (OSS) development. There is an… (see more) imperative need for supporting OSS communities to collaboratively identify, understand, and fix UX design issues in a distributed environment. In this paper, we provide an initial step towards this effort and report on an exploratory study that investigated how the OSS communities currently reported, discussed, negotiated, and eventually addressed usability and UX issues. We conducted in-depth qualitative analysis of selected issue tracking threads from three OSS projects hosted on GitHub. Our findings indicated that discussions about usability and UX issues in OSS communities were largely influenced by the personal opinions and experiences of the participants. Moreover, the characteristics of the community may have greatly affected the focus of such discussion.
2018-04-20
Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (published)
doi.org
arxiv.org