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Navigating Quality Engineering in the AI Era: Key Insights for Modern Quality Engineering and Management
Paperback
Publisher: Independently Published
Published: Jul 16 2024
Pages: 140
Weight: 0.37
Height: 0.30 Width: 5.50 Depth: 8.50
Language: English
How can Quality Engineers leverage DevOps, AI, and other emerging trends to enhance software development? How can Quality Leaders effectively guide their organizations through these technological changes?
Navigating Quality Engineering in the AI Era is your essential guide to mastering Quality Engineering amidst the integration of AI and DevOps. Authored by Evgeny Tkachenko, a seasoned Head of Quality Engineering, this book offers foundational understanding and advanced insights into how AI is reshaping quality assurance.
This resource explores the transformation of the Quality Engineer's role, from traditional testing to strategic involvement throughout the software development lifecycle. It highlights the shift towards proactive quality assurance, emphasizing the need for Quality Engineers to adapt to new tools and methodologies while becoming pivotal enablers of quality within their teams.
The book covers AI-driven test automation, predictive analytics for preempting defects, and the strategic incorporation of CI/CD processes. It also addresses the ethical considerations of AI in Quality Engineering, ensuring readers are aware of the importance of maintaining fairness, transparency, and accountability.
Navigating Quality Engineering in the AI Era is an invaluable resource for Quality Engineers at all levels, equipping them with the knowledge and strategies needed to harness AI technologies, enhance testing practices, and keep quality at the forefront of software development. Essential for any professional aiming to excel in the modern digital landscape, this book provides the tools and insights necessary to innovate, improve, and lead with confidence.
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