International Conference on Predictive Models in Software Engineering · 2023
Cited
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Resume (English only)
Academic Achievements
Published multiple research papers on topics such as diversity and inclusion in software engineering, gender differences in interactions with code generation tools, and the IDE telemetry data extraction tool CodeWatcher. Participated in numerous international conferences and journal publications, including the International Symposium on Empirical Software Engineering and Measurement, Information and Software Technology, etc.
Research Experience
Assistant Professor at the Irving K. Barber Faculty of Science, Department of Computer Science, Math, Physics & Statistics, University of British Columbia.
Background
Research interests include Empirical Software Engineering (ESE), Maintenance and Support (MSR), Open Source Software (OSS), and Social Aspects of SE, Diversity and Inclusion in SE. Loves empirical software studies that mine open source software repositories to create large datasets. Uses a combination of quantitative and qualitative techniques to understand current technical and non-technical software problems and determine approaches that can help to solve them. In the technical part, conducts bug localization and prediction studies to improve software products and assist quality assurance teams in reallocating their economic resources; in the non-technical part, focuses on analyzing collaborative software development with an emphasis on diversity and inclusion.