Guangtai Liang

Agent-Based Test Assertion Generation via Diverse Perspective Aggregation

AssertMate is proposed, a novel agent-based assertion generation framework that enhances the quality and reliability of LLM-generated assertions through three key components: actual value construction that identifies assertion targets via static analysis and type-aware heuristics, and multi-perspective expected value prediction using code generation, retrieval-augmented generation (RAG), and chain-of-thought (CoT) reasoning agents.