Code intelligence leverages machine learning techniques to extract knowledge from
extensive code corpora, with the aim of develo** intelligent tools to improve the quality …

Researchers have recently achieved significant advances in deep learning techniques,
which in turn has substantially advanced other research disciplines, such as natural …

Source code summaries are important for program comprehension and maintenance.
However, there are plenty of programs with missing, outdated, or mismatched summaries …

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

Commit messages are important for software development and maintenance. Many neural
network-based approaches have been proposed and shown promising results on automatic …

Code search aims to retrieve semantically relevant code snippets for a given natural
language query. Recently, many approaches employing contrastive learning have shown …

Code summarization with deep learning has been widely studied in recent years. Current
deep learning models for code summarization generally follow the principle in neural …

Programming language understanding and representation (aka code representation
learning) has always been a hot and challenging task in software engineering. It aims to …

(Source) Code summarization aims to automatically generate summaries/comments for
given code snippets in the form of natural language. Such summaries play a key role in …

Existing automatic code comment generators mainly focus on producing a general
description of functionality for a given code snippet without considering developer intentions …