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.
Our paper entitled "Traceability in the Wild: Automatically Augmenting Incomplete Trace links" is accepted to ICSE 2018 Technical Papers track (acceptance rate 21%). Preprint coming soon. (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)
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)
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)