Jin L.C. Guo
Assistant Professor of Software Engineering
School of Computer Science, McGill University
Associate Member of Mila
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. Our work is funded by the Natural Sciences and Engineering Research Council of Canada (NSERC), Fonds de recherche du Québec (FRQNT), the Alfred P. Sloan Foundation, Google, and McGill.
Email: jguo [at] cs [dot] mcgill [dot] ca
News
Avinash Bhat is going to present our work entitled "SUMMIT: Scaffolding Open Source Software Issue Discussion through Summarization" at CSCW 2023. Preprint is here. (2023-09-22)
Our proposal on improving the usability of open source scientific software is funded by Alfred P. Sloan Foundation. (2021-07-26)
Check out the teaser video and the full presentation of our CHI2020 work "ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models". (2020-05-28)
My research proposal entitled "Document Traceability for Machine Learning Models" is funded by the FRQNT New Academics program. (2020-05-24)
My research proposal entitled "Knowledge Enhanced Software Repository Search" has received the NSERC Discovery Accelerator Supplements (DAS) Award. (2019-06-30)
I am serving as the Program Co-Chair for the ACM Student Research Competition at the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019). More detail is here. We look forward to your participation. (2019-06-10)
I am organizing a special track on AI and Software Traceabiliy at the 10th International Workshop on Software and Systems Traceability (SST'19). We look forward to your submission and participation. (2018-12-20)
Our paper entitled "Analysis and Detection of Information Types of Open Source Software Issue Discussions" is accpetd to ICSE 2019 Technical Papers track (acceptance rate 21%). Preprint is here. (2018-12-20)
Our paper entitled "Leveraging Historical Associations between Requirements and Source Code to Identify Impacted Classes" is accpetd to the IEEE Transactions on Software Engineering. Download the preprint here. (2018-07-18)
Our paper entitled "Domain Knowledge Discovery Guided by Software Trace Links" is accepted to the Fifth International Workshop on Artificial Intelligence for Requirements Engineering (AIRE'18). Download the preprint here. (2018-07-05)
Our paper entitled "Traceability in the Wild: Automatically Augmenting Incomplete Trace links" has won the ACM SIGSOFT Distinguished Paper Awards. Please attend our talk @ICSE'18 if you want to know more. The preprint is here. (2018-05-03)
Our paper entitled "Traceability in the Wild: Automatically Augmenting Incomplete Trace links" is accepted to ICSE 2018 Technical Papers track (acceptance rate 21%). (2017-12-20)
Our tool demo paper entitled "TiQi: A Natural Language Interface for Querying Software Project Data" has won the ASE'17 "Best Tool Paper" award.(2017-11-3)
I am going to join the School of Computer Science at McGill University as an Assistant Professor in January 2018. Check out the Software Engineering Research and Programs at McGill. (2017-10-23)
Our tool demo paper entitled "TiQi: A Natural Language Interface for Querying Software Project Data" is accepted to ASE 2017. Download the preprint here. (2017-07-31)
Our paper entitled "Semantically Enhanced Software Traceability Using Deep Learning Techniques" is accepted to ICSE'17 (acceptance rate 17%). Looking forward to presenting it in Buenos Aires. Download the preprint here. (2016-12-12)
Our journal paper entitled "Tackling the term-mismatch problem in automated trace retrieval" in Empirical Software Engineering is online now. Access it here. (2016-11-26)
I will attend FSE 2016 in Seattle and present at the Workshop on the Naturalness of Software on Nov 13th. (2016-10-17)
The 3rd International Workshop on Artificial Intelligence for Requirements Engineering (AIRE) is collocated with RE'16 in Beijing, China! Find out more about it here. (2016-4-5)
I am going to present our paper entitled "Cold-Start Software Analytics" at MSR'2016 and my thesis proposal titled "Ontology Learning and its Application in Software-Intensive Projects" at Doctoral Symposium of ICSE'2016 during May 14-22 in Austin, Texas. (2016-4-18)