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Navigating Software Quality - From Chaos to Control
Originally aired:
About the Session
Software quality often swings between chaos and control. While chaos fuels innovation and adaptability, control ensures stability and reliability. This session explores how Software Quality Assurance (QA) can balance these forces, leveraging emerging technologies like Generative AI and full-stack testing strategies to maintain agility without compromising quality.
By integrating AI-powered testing, automated validation, and adaptive quality strategies, teams can create resilient testing frameworks that scale with the demands of modern software development. This talk will offer practical insights on managing unpredictable variables in QA, leveraging intelligent automation, and setting up structured processes that allow innovation without chaos.
Key Takeaways
- Chaos vs. Control – Finding the right balance in software testing and QA.
- AI-Powered Testing – How Generative AI speeds up test creation, execution, and analysis.
- Full-Stack Testing – Combining end-to-end, API, and exploratory testing for stronger software.
- Adaptive QA – Using self-healing test automation and smart defect management.
- The Future of QA – Trends and tools shaping quality assurance in agile and DevOps environments.
Target Audience
This session is designed for QA engineers, software developers, DevOps professionals, and engineering managers looking to modernize software testing, optimize AI-driven quality assurance, and establish scalable, adaptive testing frameworks in their organizations.
Navigating Software Quality - From Chaos to Control
Originally aired:
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