Research Interests
- Code recommendation quality and integration support.
- Snippet search relevance and contextual ranking.
- Developer-facing tooling for adaptation and reuse.
- Evaluation methods for recommendation usefulness.
PhD Student
Jorge Gonzalo Delgado Cervantes
Jorge works on code recommendation and software intelligence workflows that help engineers find and adapt useful code effectively. His projects emphasize practical integration quality rather than retrieval alone.
Current Research Projects
- Task-aware snippet ranking for bug fix and refactoring use cases.
- Assistant-guided integration support for recommended code.
- Empirical assessment of recommendation acceptance patterns.
- Benchmark curation for code recommendation experiments.