7 citations · 11 across the 4 of their papers we have counts for
4 papers
SPELL: Synthesis of Programmatic Edits using LLMs
Daniel Ramos, Catarina Gamboa, Inês Lynce +3
Library migration is a common but error-prone task in software development. Developers may need to replace one library with another due to reasons like changing requirements or lic…
Are Large Language Models Memorizing Bug Benchmarks?
Daniel Ramos, Claudia Mamede, Kush Jain +3
Large Language Models (LLMs) have become integral to various software engineering tasks, including code generation, bug detection, and repair. To evaluate model performance in thes…
MELT: Mining Effective Lightweight Transformations from Pull Requests
Daniel Ramos, Hailie Mitchell, Inês Lynce +3
Software developers often struggle to update APIs, leading to manual, time-consuming, and error-prone processes. We introduce MELT, a new approach that generates lightweight API mi…
SOAR: A Synthesis Approach for Data Science API Refactoring
Ansong Ni, Daniel Ramos, Aidan Yang +4
With the growth of the open-source data science community, both the number of data science libraries and the number of versions for the same library are increasing rapidly. To matc…