Learning code summarization from a small and local dataset
Learning code summarization from a small and local dataset
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Foundation models (e.g., CodeBERT, GraphCodeBERT, CodeT5) work well for many software engineering tasks. These models are pre-trained (using self-supervision) with billions of code tokens, and then fine-tuned with hundreds of thousands of labeled examples, typically drawn from many projects. However, software phenomena can be very project-specific....
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Learning code summarization from a small and local dataset
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TN_cdi_proquest_journals_2672840406
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2672840406
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2331-8422
