Queen’s School of Computing is pleased to share the exciting news that the paper titled “Information Retrieval Based Nearest Neighbor Classification for Fine-Grained Bug Severity Prediction”, co-authored by Dr. Yuan Tian, with David Lo and Chengnian Sun, received the Most Influential Paper (MIP) award from SANER 2022.
The paper was originally published in 2012 at the Working Conference on Reverse Engineering (WCRE), which, coincidentally was hosted in Kingston that year. WCRE later merged with the Conference on Software Maintenance and Reengineering (CSMR) to become the Software Analysis, Evolution and Reengineering (SANER) project.
While at the Singapore Management University (SMU) Dr. Tian received a Ph.D. in Information Systems, and in October 2018, QSC was proud to welcome Dr. Yuan Tian as an Assistant Professor. Dr. Tian’s work involves enhancing state-of-the-art machine learning approaches and practices to better fit the characteristics of the domains (e.g., software engineering), as well as working on designing automated software bug management tools by leveraging large-scale software data and distilling knowledge for developers from websites such as Twitter, GitHub, and Stack Overflow. Dr. Tian’s current research focuses on designing reliable and explainable recommender systems for improving the efficiency of software development in terms of cost, performance, and quality.