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20232026
most citedTestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

6 citations · 9 across the 6 of their papers we have counts for

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cs.SE2026

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

Quanjun Zhang, Ye Shang, Siqi Gu +4

Recently, the emergence of Large Language Models (LLMs) has spurred a surge of research into automated unit test generation, yielding impressive performance and reducing manual eff…