Source Code Summarization

Recent advancements in source code summarization have leveraged transformer-based pre-trained models, including Large Language Models of Code (LLMCs), to automate and improve the generation of code summaries. However, ex…

Code Summarization Reranking Source Code Summarization

Source Code Summarization in the Era of Large Language Models

2024-07-09 · Weisong Sun, Yun Miao, Yuekang Li, Hongyu Zhang 외

To support software developers in understanding and maintaining programs, various automatic (source) code summarization techniques have been proposed to generate a concise natural language summary (i.e., comment) for a g…

Code Summarization Source Code Summarization

ESALE: Enhancing Code-Summary Alignment Learning for Source Code Summarization

2024-07-01 · Chunrong Fang, Weisong Sun, Yuchen Chen, Xiao Chen 외

(Source) code summarization aims to automatically generate succinct natural language summaries for given code snippets. Such summaries play a significant role in promoting developers to understand and maintain code. Insp…

Code Summarization Decoder Language Modeling Language Modelling+4

On Training a Neural Network to Explain Binaries

2024-04-30 · Alexander Interrante-Grant, Andy Davis, Heather Preslier, Tim Leek

In this work, we begin to investigate the possibility of training a deep neural network on the task of binary code understanding. Specifically, the network would take, as input, features derived directly from binaries an…

Code Summarization Diagnostic Source Code Summarization

A Prompt Learning Framework for Source Code Summarization

2023-12-26 · Tingting Xu, Yun Miao, Chunrong Fang, Hanwei Qian 외

(Source) code summarization is the task of automatically generating natural language summaries (also called comments) for given code snippets. Recently, with the successful application of large language models (LLMs) in …

Code Summarization Few-Shot Learning parameter-efficient fine-tuning Prompt Learning+2

Revisiting File Context for Source Code Summarization

2023-09-05 · Aakash Bansal, Chia-Yi Su, Collin McMillan

Source code summarization is the task of writing natural language descriptions of source code. A typical use case is generating short summaries of subroutines for use in API documentation. The heart of almost all current…

Code Summarization Decoder Source Code Summarization

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Source Code Summarization

Benchmarks

DeepCom-Java

ParallelCorpus-Python

CoDesc

CodeSearchNet

CodeSearchNet - Python

Java scripts

Summarizing Source Code using a Neural Attention Model - C#

Summarizing Source Code using a Neural Attention Model - Python

Summarizing Source Code using a Neural Attention Model - SQL

Most implemented

A Transformer-based Approach for Source Code Summarization

Recommendations for Datasets for Source Code Summarization

code2seq: Generating Sequences from Structured Representations of Code

Structured Neural Summarization

HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks

Unified Pre-training for Program Understanding and Generation

Papers

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models