The evolution of software testing from manual to automated methods has
significantly influenced quality assurance (QA) practices. However, challenges
persist in post-execution phases, particularly in result analysis and
reporting. Traditional post-execution validation phases require manual
intervention for result analysis and report generation, leading to
inefficiencies and potential development cycle delays. This paper introduces
BugBlitz-AI, an AI-powered validation toolkit designed to enhance end-to-end
test automation by automating result analysis and bug reporting processes.
BugBlitz-AI leverages recent advancements in artificial intelligence to reduce
the time-intensive tasks of manual result analysis and report generation,
allowing QA teams to focus more on crucial aspects of product quality. By
adopting BugBlitz-AI, organizations can advance automated testing practices and
integrate AI into QA processes, ensuring higher product quality and faster
time-to-market. The paper outlines BugBlitz-AI's architecture, discusses
related work, details its quality enhancement strategies, and presents results
demonstrating its effectiveness in real-world scenarios.

软件测试从手动到自动化方法的演变在质量保证实践中产生了重大影响，BugBlitz-AI 是一种基于人工智能的验证工具包，旨在通过自动化结果分析和错误报告生成来增强端到端的测试自动化，提高产品质量和快速上市时间。