Autonomous QA Agent uses RAG to generate reliable Selenium test scripts

Researchers have developed an Autonomous QA Agent, a retrieval-augmented generation (RAG) system designed to improve the reliability of automated software testing scripts. This system grounds Selenium script generation in project-specific documentation and HTML structure, addressing the issue of LLMs hallucinating non-existent UI elements. Evaluations demonstrated a significant improvement in syntax validity and execution success rates compared to standard LLM generation, highlighting the potential of RAG for automated UI testing. AI

IMPACT Enhances reliability of automated UI testing by reducing LLM hallucinations through RAG.

RANK_REASON Academic paper detailing a new framework for automated software testing. [lever_c_demoted from research: ic=1 ai=1.0]

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• arXiv
• Autonomous QA Agent
• HTML
• Large Language Models
• Markdown
• PDF
• Selenium

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