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cs.SE2026

Bridging Requirements and Architecture: Multi-Agent Orchestration with External Knowledge and Hierarchical Memory

Ruiyin Li, Yiran Zhang, Xiyu Zhou +6

Software architecture design is a critical yet inherently complex and knowledge-intensive phase that requires balancing competing quality attributes and adapting to evolving requir…

cs.SE2025

Designing LLM-based Multi-Agent Systems for Software Engineering Tasks: Quality Attributes, Design Patterns and Rationale

Yangxiao Cai, Ruiyin Li, Peng Liang +2

As the complexity of Software Engineering (SE) tasks continues to escalate, Multi-Agent Systems (MASs) have emerged as a focal point of research and practice due to their autonomy…

cs.SE2025

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration

Ruiyin Li, Yiran Zhang, Xiyu Zhou +5

Software architecture design is a critical, yet inherently complex and knowledge-intensive phase of software development. It requires deep domain expertise, development experience,…

cs.SE2025

iReDev: A Knowledge-Driven Multi-Agent Framework for Intelligent Requirements Development

Dongming Jin, Weisong Sun, Jiangping Huang +4

Requirements development is a critical phase as it is responsible for providing a clear understanding of what stakeholders need. It involves collaboration among stakeholders to ext…

cs.SE2025

Unveiling the Role of ChatGPT in Software Development: Insights from Developer-ChatGPT Interactions on GitHub

Ruiyin Li, Peng Liang, Yifei Wang +3

The advent of Large Language Models (LLMs) has introduced a new paradigm in Software Engineering (SE), with generative AI tools like ChatGPT gaining widespread adoption among devel…

cs.SE2025

Using LLMs in Generating Design Rationale for Software Architecture Decisions

Xiyu Zhou, Ruiyin Li, Peng Liang +4

Design Rationale (DR) for software architecture decisions refers to the reasoning underlying architectural choices, which provides valuable insights into the different phases of th…