UA-ChatDev: Uncertainty-Aware Multi-Agent Collaboration for Reliable Software Development
Software development is a complex task that demands cooperation among agents with diverse roles. Large language models (LLMs) have enabled autonomous multi-agent software development frameworks that leverage role-based collaboration to automate requirements analysis, coding, testing, and refinement. However, existing approaches typically assume that intermediate agent outputs are equally reliable, leaving them vulnerable to hallucination propagation, where incorrect decisions generated in early development phases are transferred to downstream agents and negatively impact final software quality
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 55%agent-tools →
- PossiblePossibly related (embedding) · 55%ThreeMoonsLab/agents-shipgate →
- PossiblePossibly related (embedding) · 53%Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers →
- PossiblePossibly related (embedding) · 53%langgenius/dify →
- PossiblePossibly related (embedding) · 52%ImFeH2/flowent →
- PossiblePossibly related (embedding) · 55%wecode-ai/Wegent →
- LinkedLinked via arxiv author · 85%Temitayo Olamilekan Ogunsusi →
“UA-ChatDev: Uncertainty-Aware Multi-Agent Collaboration for Reliable Software Development”
- LinkedLinked via arxiv author · 85%Lijun Qian →
“UA-ChatDev: Uncertainty-Aware Multi-Agent Collaboration for Reliable Software Development”