1 citations · 2 across the 3 of their papers we have counts for
3 papers
Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects
Henrique Nunes, Eduardo Figueiredo, Larissa Rocha +3
Large Language Models (LLMs) have gained attention for addressing coding problems, but their effectiveness in fixing code maintainability remains unclear. This study evaluates LLMs…
An Empirical Study on Bugs Inside PyTorch: A Replication Study
Sharon Chee Yin Ho, Vahid Majdinasab, Mohayeminul Islam +5
Software systems are increasingly relying on deep learning components, due to their remarkable capability of identifying complex data patterns and powering intelligent behaviour. A…
A Data Set of Generalizable Python Code Change Patterns
Akalanka Galappaththi, Sarah Nadi
Mining repetitive code changes from version control history is a common way of discovering unknown change patterns. Such change patterns can be used in code recommender systems or…