Jasmine Latendresse
Jasmine is a PhD student in Software Engineering at Concordia University’s DAS Lab under Dr. Emad Shihab’s supervision. She received her bachelor’s degree in Software Engineering from Concordia University. Her research interests include mining software repositories, empirical software engineering, and software ecosystem.
Publications
Journals
- J. Latendresse, S. Abedu, A. Abdellatif, and E. Shihab, "An Exploratory Study on Machine Learning Model Management," in ACM Transactions on Software Engineering and Methodology, 2024
Conferences
- J. Latendresse, N. Day, S. Khatoonabadi, and E. Shihab, "The Software Librarian: Python Package Insights for Copilot," in Proceedings of the 2025 IEEE/ACM 47th International Conference on Software Engineering: Companion Proceedings, 2025
- T. Le Tourneau, J. Latendresse, A. Abdellatif, and E. Shihab, "Code Mapper: Mapping the Global Contributions of OSS," in Proceedings of the 46th ACM/IEEE International Conference on Software Engineering (ICSE'24), 2024
- J. Latendresse, S. Mujahid, D. E. Costa, and E. Shihab, "Not All Dependencies are Equal: An Empirical Study on Production Dependencies in NPM," in Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE'22), 2022
- J. Latendresse, R. Abdelkareem, D. E. Costa, and E. Shihab, "How Effective is Continuous Integration in Indicating Single-Statement Bugs?," in Proceedings of the 18th International Conference on Mining Software Repositories (MSR'21), 2021
Awards
- Concordia University Retired Faculty and Staff Graduate Award – 2021-2022
- Concordia Merit Scholarship – 2020-2022
- Instructional Technology Award – 2020