Papers Code Comment Generation
“Code Comment Generation” 태그가 달린 논문 10편 · 필터 해제
Investigating the Efficacy of Large Language Models for Code Clone Detection
Large Language Models (LLMs) have demonstrated remarkable success in various natural language processing and software engineering tasks, such as code generation. The LLMs are mainly utilized in the prompt-based zero/few-…
Clone DetectionCode Comment GenerationCode GenerationComment GenerationAPIContext2Com: Code Comment Generation by Incorporating Pre-Defined API Documentation
Code comments are significantly helpful in comprehending software programs and also aid developers to save a great deal of time in software maintenance. Code comment generation aims to automatically predict comments in n…
Code Comment GenerationComment GenerationDecoderCoNT: Contrastive Neural Text Generation
Recently, contrastive learning attracts increasing interests in neural text generation as a new solution to alleviate the exposure bias problem. It introduces a sequence-level training signal which is crucial to generati…
Code Comment GenerationComment GenerationContrastive LearningData-to-Text Generation+3LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition
Code comment generation is the task of generating a high-level natural language description for a given code method or function. Although researchers have been studying multiple ways to generate code comments automatical…
Code Comment GenerationComment GenerationLanguage ModelingLanguage Modelling+3CodeTrans: 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+7InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees
Building deep learning models on source code has found many successful software engineering applications, such as code search, code comment generation, bug detection, code migration, and so on. Current learning technique…
Clone DetectionCode ClassificationCode Comment GenerationCode Search+5Learning to Represent Programs with Heterogeneous Graphs
Program source code contains complex structure information, which can be represented in structured data forms like trees or graphs. To acquire the structural information in source code, most existing researches use abstr…
Code Comment GenerationComment GenerationTowards Context-Aware Code Comment Generation
Code comments are vital for software maintenance and comprehension, but many software projects suffer from the lack of meaningful and up-to-date comments in practice. This paper presents a novel approach to automatically…
Code Comment GenerationComment GenerationGraph AttentionRetrieve and Refine: Exemplar-based Neural Comment Generation
Code comment generation which aims to automatically generate natural language descriptions for source code, is a crucial task in the field of automatic software development. Traditional comment generation methods use man…
Code Comment GenerationComment GenerationInformation RetrievalRetrieval+2TAG : Type Auxiliary Guiding for Code Comment Generation
Existing leading code comment generation approaches with the structure-to-sequence framework ignores the type information of the interpretation of the code, e.g., operator, string, etc. However, introducing the type info…
Code Comment GenerationComment GenerationDecoderHierarchical Reinforcement Learning+2