This PhD proposal investigates the use of Large Language Models (LLMs) for code refactoring. We present and discuss three studies. The first evaluated LLMs in identifying and refactoring maintainability issues, showing that, despite their limitations, the results are promising. The second introduced MaRV, a refactoring dataset designed for prompting techniques. The third is an ongoing study in which we will evaluate the performance of several prompting techniques applied to different refactoring types. This proposal also presents our contributions and the future agenda of my PhD.
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Tue 14 Apr
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