Author

Jianyi Zhou

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Preprint Aug 2026

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.

Dong Wang, Qiaoyu Han, Lin Yang et al. · 0 citations

Review Jul 2026

Multi-Agent LLM Collaboration for Unit Test Generation via Human-Testing-Inspired Workflows

TestAgent is proposed, an LLM-based test generation approach that addresses the above limitations by emulating human testing practices via a multi-agent collaboration mechanism and equips TestAgent with a set of tool APIs that can be invoked dynamically in an on-demand and adaptive manner.

Quanjun Zhang, Ye Shang, Siqi Gu et al. · arXiv.org · 0 citations