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The AI Revolution in Software Quality Assurance: A New Era of Quality Engineering and Productivity State-of-the-art AI platforms are transforming SQA. Automation, improved visibility, and streamlined processes are boosting efficiency and effectiveness for QA teams today. As AI evolves, embracing it and developing the necessary skills will be crucial for QA professionals to thrive in the future. |
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Generative AI: Pushing Software Development Forward? Generative AI is fundamentally changing software development by automating tasks and improving code quality, but developers need to be aware of its limitations and biases. |
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Exploring the Features of CodeWhisperer and Its Role in the Future of Coding Learn how Amazon CodeWhisperer is uniquely designed to help you develop better code faster, improve security, protect your privacy, and strengthen—not threaten—your career as a coder. |
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Wrangling API Security Amid Rapid Growth APIs are an open attack vector for an organization's network and data. Here are some best practices to secure APIs and test them more thoroughly. |
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UAT Entrance Criteria: Don’t Negotiate Against Yourself An important component of any User Acceptance Testing (UAT) plan are the entry criteria. No complex data system will ever be perfect, but starting with lax entrance criteria puts the UAT team in a weak position. |
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Using Pipelines for CI/CD Continuous integration and continuous deployment have become very important in the daily workflow of building a product to production. We take a look at the stages necessary to have a well-functioning CI/CD pipeline. |
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And Now a Word from (One of) Your Customers… A plea to software product owners to avoid adding buggy features or making capricious changes to your GUI. Quality matters, remember? |
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Five QA Must-Haves for Successful Software Project Implementation A high-quality product is key to enhancing customer satisfaction. But to ensure outstanding solution quality, you’ll need a coherent QA strategy that will regulate key QA procedures. |
