3 citations · 3 across the 3 of their papers we have counts for
3 papers
SnipGen: A Mining Repository Framework for Evaluating LLMs for Code
Daniel Rodriguez-Cardenas, Alejandro Velasco, Denys Poshyvanyk
Language Models (LLMs), such as transformer-based neural networks trained on billions of parameters, have become increasingly prevalent in software engineering (SE). These models,…
Testing Practices, Challenges, and Developer Perspectives in Open-Source IoT Platforms
Daniel Rodriguez-Cardenas, Safwat Ali Khan, Prianka Mandal +3
As the popularity of Internet of Things (IoT) platforms grows, users gain unprecedented control over their homes, health monitoring, and daily task automation. However, the testing…
How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study
Alejandro Velasco, Daniel Rodriguez-Cardenas, Luftar Rahman Alif +2
Large Language Models (LLMs) have shown significant potential in automating software engineering tasks, particularly in code generation. However, current evaluation benchmarks, whi…