BugBlitz-AI: An Intelligent QA Assistant

• URL: http://arxiv.org/abs/2406.04356v1
• Date: Fri, 17 May 2024 11:09:10 GMT
• Title: BugBlitz-AI: An Intelligent QA Assistant
• Authors: Yi Yao, Jun Wang, Yabai Hu, Lifeng Wang, Yi Zhou, Jack Chen, Xuming Gai, Zhenming Wang, Wenjun Liu,
• Abstract summary: BugBlitz-AI is an AI-powered validation toolkit designed to enhance end-to-end test automation. BugBlitz-AI reduces the time-intensive tasks of manual result analysis and report generation.
• Score: 9.896793022928048
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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