Code Comment
Code comments, natural language descriptions embedded within source code, are crucial for software comprehension and maintenance, but their quality and consistency vary widely. Current research focuses on automatically generating high-quality comments using large language models (LLMs) like GPT-4 and Transformer-based architectures, as well as classifying comments based on their usefulness and detecting inconsistencies between comments and code. These advancements aim to improve software documentation, enhance code understanding, and ultimately increase software development efficiency and reliability.
Papers
September 22, 2024
August 6, 2024
August 1, 2024
April 11, 2024
March 26, 2024
February 25, 2024
February 22, 2024
December 21, 2023
October 27, 2023
October 14, 2023
Enhancing Binary Code Comment Quality Classification: Integrating Generative AI for Improved Accuracy
Rohith Arumugam S, Angel Deborah S
Leveraging Generative AI: Improving Software Metadata Classification with Generated Code-Comment Pairs
Samah Syed, Angel Deborah S
Software Metadata Classification based on Generative Artificial Intelligence
Seetharam Killivalavan, Durairaj Thenmozhi
October 13, 2023
March 3, 2023
February 25, 2023
January 5, 2023
August 23, 2022
July 29, 2022
July 13, 2022