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Source code summarization aims to generate natural language descriptions of code snippets.
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Automatic documentation generation via source code summarization of method context
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Recommendations for datasets for source code summarization
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Automatic source code summarization with extended tree-lstm
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Reinforcement-learning-guided source code summarization via hierarchical attention
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Codebert: A pre-trained model for programming and natural languages
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Exploiting method names to improve code summarization: A deliberation multi-task learning approach
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A multi-modal transformer-based code summarization approach for smart contracts
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Code structure guided transformer for source code summarization
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Cocosum: Contextual code summarization with multi-relational graph neural network
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Language-agnostic representation learning of source code from structure and context
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