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FudanSELab/Agent4SE-Paper-List

⭐ 556 added to this list on 2025-03-09 repository created 2024-08-29

This repository, titled 'Agent4SE-Paper-List' by FudanSELab, serves as a comprehensive and continuously updated collection of research papers focused on the application of Large Language Model (LLM)-based agents in Software Engineering (SE). The repository supports a survey paper named 'Large Language Model-Based Agents for Software Engineering: A Survey' which systematically categorizes and analyzes 106 papers from both software engineering and agent architecture perspectives. The survey highlights the transformative impact of LLM-based agents, which extend the capabilities of standalone LLMs by integrating external resources and tools, thereby enhancing their versatility and expertise in tackling complex SE tasks. The repository organizes the collected papers into various SE tasks such as requirement engineering, code generation, verification, static code checking, testing, debugging, release, and end-to-end software development and maintenance. It also explores agent-related aspects including agent frameworks, multi-agent systems, and human-agent collaboration phases. This structured approach provides a detailed overview of how LLM-based agents are revolutionizing different facets of software engineering, from automating code generation and testing to improving debugging and maintenance processes. The repository is designed to be a dynamic resource, regularly updated with the latest research developments, reflecting the rapid evolution of this field. It includes links to papers, related repositories, and highlights significant contributions and frameworks that leverage LLM agents for various SE applications. The project encourages community engagement by inviting users to star the repository to stay informed about new updates. Overall, this repository is an invaluable resource for researchers, practitioners, and developers interested in the intersection of AI, particularly LLM-based agents, and software engineering, providing a well-organized, up-to-date survey of the state-of-the-art research and practical applications in this emerging domain.

https://github.com/FudanSELab/Agent4SE-Paper-List

agentagent-architectureai-agentsartificial-intelligenceautomationcode-generationcommunity-engagementdebuggingdynamic-resourceexternal-resourceshuman-agent-collaborationlarge-language-modelsllm-based-agentsllmsmulti-agent-systemsreleaserequirement-engineeringresearch-papersse-taskssoftware-developmentsoftware-engineeringsoftware-engineering-researchsoftware-maintenancestatic-code-checkingsurveytestingtoolsverification

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