Source Code Summarization in the Era of Large Language Models
Apr 27, 2025·,,,,,
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1 min read
Weisong Sun
Yiming Miao
Yuekang Li
Hongyu Zhang
Chunrong Fang
Yi Liu
Gelei Deng
Yang Liu
Zhenyu Chen
Abstract
Source code summarization is essential for software maintenance and comprehension. This work provides a comprehensive study of code summarization capabilities in the era of Large Language Models, evaluating state-of-the-art LLMs and identifying key challenges and opportunities for improvement.
Type
Publication
2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE)
This work examines how Large Language Models are transforming source code summarization, providing insights into their capabilities and limitations for automated software documentation.
