Today, the iteration pace of software development has accelerated greatly. Various organizations adopt agile, DevOps, and continuous delivery models to release software at high frequency. While manual testing remains suitable for validating user experience scenarios, relying solely on this method will slow down release cycles. Test automation has become a core capability for efficient and ...

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Artificial intelligence has played a major role in how software testing has changed over the past couple of years. It has influenced the changes in designing, execution, and maintenance of test cases. In the last two years, Large Language Models (LLMs) have become the core of attention for QA teams looking to speed up test ...

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Artificial intelligence (AI) has become ubiquitous across industries. AI-powered applications are used for almost all tasks in the digital field. In the software field, a new category of solutions has emerged to support their validation and quality control: AI testing tools. At present, there are countless AI testing tools available in the market, making all ...

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Software testing is always treated with caution by engineering teams. The majority agree that testing is important, yet almost everyone has experienced the annoyance of having to maintain test suites at scale. As software systems become more complex and organizations release updates faster, the older methods of QA don’t keep up. Teams spend weeks creating ...

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The last couple of years have completely overturned the way organizations think about AI compliance. It usually used to be about voluntary standards and best practices that transformed into actual binding laws. And this switch happened fast. Over 1080 AI-based laws were introduced by 50 states across the U.S. Around 118 (or 11%) of them ...

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Time is a precious commodity in the software development community. With increasing pressure to release high-quality software at a faster pace, understanding how to prioritize test cases is an important skill before creating a testing strategy. In Agile methodology, software testing needs the relevant, context-dependent tools and a well-defined structure for managing your QA process. ...

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Though banking web applications may seem simple on the outside, they are extensively complicated and require thorough multi-layered testing. Each and every feature, from login authentication to fund transfers, directly interacts with sensitive financial data, and even a slight defect may be classified as critical. It is not only functional correctness that testers must ensure, ...

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AI in software testing has been marketed as the next big thing in test automation for the past few years. It is considered to be the most significant table turner in QA engineering. Dependent on whom you ask, AI can apparently build entire test suites, maintain flaky automation, put manual QA testers out of work, ...

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As a newbie in the testing field, especially until a couple of years ago, it’s inevitable that you were suggested by a senior to use Page Object Model (POM) if you are building UI tests. And that it was the industry practice. Yes, indeed it was. And you, being the diligent junior, you followed it. ...

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Claude is transitioning from a simple conversational AI to a workflow-driven assistant that can execute structured tasks. This change is immensely relevant for QA engineers as testing by its nature is process-driven, or rather repeatable, and governed by bespoke standards. Agent skills enable Claude to follow matching workflows, perform tasks using domain-specific knowledge that was ...

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