Papers Code Documentation Generation
“Code Documentation Generation” 태그가 달린 논문 10편 · 필터 해제
LLM-Based Code Documentation Generation and Multi-Judge Evaluation
High-quality source code documentation is vital yet often neglected, especially in critical domains like healthcare where reliability and maintainability are essential. We presented an AI powered framework that automates…
Code Documentation GenerationPrompt EngineeringCode2Doc: A Quality-First Curated Dataset for Code Documentation
The performance of automatic code documentation generation models depends critically on the quality of the training data used for supervision. However, most existing code documentation datasets are constructed through la…
Code Documentation GenerationDocAgent: A Multi-Agent System for Automated Code Documentation Generation
High-quality code documentation is crucial for software development especially in the era of AI. However, generating it automatically using Large Language Models (LLMs) remains challenging, as existing approaches often p…
Code Documentation GenerationRepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation
Generative models have demonstrated considerable potential in software engineering, particularly in tasks such as code generation and debugging. However, their utilization in the domain of code documentation generation r…
Code Documentation GenerationCode GenerationLanguage ModelingLanguage Modelling+1A Comparative Analysis of Large Language Models for Code Documentation Generation
This paper presents a comprehensive comparative analysis of Large Language Models (LLMs) for generation of code documentation. Code documentation is an essential part of the software writing process. The paper evaluates …
Code Documentation GenerationAssemble Foundation Models for Automatic Code Summarization
Automatic code summarization is beneficial to daily software development since it could help reduce the requirement of manual writing. Currently, artificial intelligence is undergoing a paradigm shift. The foundation mod…
Code Documentation GenerationCode SummarizationSequence-to-sequence Language ModelingSource Code Summarization+1Memorization and Generalization in Neural Code Intelligence Models
Deep Neural Networks (DNNs) are increasingly being used in software engineering and code intelligence tasks. These are powerful tools that are capable of learning highly generalizable patterns from large datasets through…
Code Documentation GenerationCode SearchMemorizationMethod name prediction+1CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing
Currently, a growing number of mature natural language processing applications make people's life more convenient. Such applications are built by source code - the language in software engineering. However, the applicati…
API Sequence RecommendationCode Comment GenerationCode Documentation GenerationCode Generation+7HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks
Jupyter notebook allows data scientists to write machine learning code together with its documentation in cells. In this paper, we propose a new task of code documentation generation (CDG) for computational notebooks. In…
Code Documentation GenerationCode SummarizationGraph Neural NetworkSource Code SummarizationCodeBERT: A Pre-Trained Model for Programming and Natural Languages
We present CodeBERT, a bimodal pre-trained model for programming language (PL) and nat-ural language (NL). CodeBERT learns general-purpose representations that support downstream NL-PL applications such as natural langua…
Code Documentation Generation