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Computer Science > Software Engineering

arXiv:2406.04356 (cs)
[Submitted on 17 May 2024]

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
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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.
Subjects: Software Engineering (cs.SE); Artificial Intelligence (cs.AI)
Cite as: arXiv:2406.04356 [cs.SE]
  (or arXiv:2406.04356v1 [cs.SE] for this version)
  https://doi.org/10.48550/arXiv.2406.04356

Submission history

From: Yi Yao [view email]
[v1] Fri, 17 May 2024 11:09:10 UTC (996 KB)
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