Prompt-Driven Code Summarization: A Systematic Literature Review

ArXi:2604.15385v1 Announce Type: cross Software documentation is essential for program comprehension, developer onboarding, code review, and long-term maintenance. Yet producing quality documentation manually is time-consuming and frequently yields incomplete or inconsistent results. Large language models (LLMs) offer a promising solution by automatically generating natural language descriptions from source code, helping developers understand code efficiently, facilitating maintenance, and ing downstream activities such as defect localization and commit message generation.