Source code documentation is an important artifact for efficient software development. Code
documentation could greatly benefit from automation since manual documentation is often …

Context: Coding is an incremental activity where a developer may need to understand a
code before making suitable changes in the code. Code documentation is considered one of …

With recent advances in artificial intelligence (AI) and robotics, unmanned vehicle swarms
have received great attention from both academia and industry due to their potential to …

Well-trained machine-learning models, which leverage large amounts of open-source
software data, have now become an interesting approach to automating many software …

Prior studies have demonstrated the effectiveness of Deep Learning (DL) in automated
software vulnerability detection. Graph Neural Networks (GNNs) have proven effective in …

In this work we systematically review the recent advancements in code processing with
language models, covering 50+ models, 30+ evaluation tasks, 170+ datasets, and 700 …

Code comment generation aims at generating natural language descriptions for a code
snippet to facilitate developers' program comprehension activities. Despite being studied for …

Programs, consisting of semantic and structural information, play an important role in the
communication between humans and agents. Towards learning general program executors …

Pre-trained models of source code have gained widespread popularity in many code
intelligence tasks. Recently, with the scaling of the model and corpus size, large language …

Source code summarization aims to generate natural language descriptions of code
snippets. Many existing studies learn the syntactic and semantic knowledge of code …