Compiling Large Multi-modal Requirement Documents into Runnable Software Systems: From an Agentic Test-Driven Perspective
Large Language Models (LLMs) have significantly improved programming efficiency by parsing natural language into code snippets. However, their performance degrades significantly as requirements scale; when faced with multi-modal documents containing hundreds of scenarios, LLMs often produce incorrect implementations or...
Weiyu Kong, Yun Lin, Xiwen Teoh et al.
· Proceedings of the ACM on so... · 1 citation