An empirical study of developer-ChatGPT refactoring chats yields a 25-theme taxonomy, apology/affirmation signals, and a structured prompt template that reduces conversation turns.
Three heads are better than one: Suggesting move method refactoring opportunities with inter-class code entity dependency en- hanced hybrid hypergraph neural network,
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ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts
An empirical study of developer-ChatGPT refactoring chats yields a 25-theme taxonomy, apology/affirmation signals, and a structured prompt template that reduces conversation turns.