Abstract:Developers often perform repetitive code editing activities (up to 70%) for various reasons (e.g., code refactor) during software development. Many deep learning (DL) models are applied to automate code editing by learning from the code editing history. Among DL-based models, pre-trained code editing models have achieved the state-of-the-art (SOTA) results. Pre-trained models are first pre-trained with pre-training tasks and fine-tuned with the code editing task. Existing pre-training tasks mainly are code inf… Show more
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