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 …

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However, there are plenty of programs with missing, outdated, or mismatched summaries …

Code summarization aims to generate brief natural language descriptions for source codes.
The state-of-the-art approaches follow a transformer-based encoder-decoder architecture …

Transformer-based models have demonstrated state-of-the-art performance in many
intelligent coding tasks such as code comment generation and code completion. Previous …

Automatic code summarization frees software developers from the heavy burden of manual
commenting and benefits software development and maintenance. Abstract Syntax Tree …

Though many deep learning (DL)-based vulnerability detection approaches have been
proposed and indeed achieved remarkable performance, they still have limitations in the …

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

Automatic code summarization is beneficial to software development and maintenance
since it reduces the burden of manual tasks. Currently, artificial intelligence is undergoing a …

Automatically generating summaries for source code has emerged as a valuable task in
software development. While state-of-the-art (SOTA) approaches have demonstrated …

Experimental evaluations of software engineering innovations, eg, tools and processes,
often include human-subject studies as a component of a multi-pronged strategy to obtain …