My main research interests are Mining Software Repositories, Software Quality Assurance, and Software Maintenance. My project involves the mining of structured and unstructured data from various data sources, such as source code comments, version control repositories (e.g., Git) and issue trackers. The data was pre-processed, cleaned, triangulated and analyzed to develop novel techniques that help in the detection and management of technical debt..
E. d. S. Maldonado and E. Shihab, Detecting and Quantifying Different Types of Self-Admitted Technical Debt, in Proceedings of the 7th International Workshop on Managing Technical Debt, Oct 2015, pp. 9–15 [PDF]
Accomplishments and Awards
Concordia Travel Award ($1,000)
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