In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...
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How are QA teams using machine learning to predict test failures in real time?
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
Quick Summary Looking to ensure the reliability and performance of your APIs across complex applications? Discover the top 7 API automation testing tools for software developers in 2025 that help ...
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The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...
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Microsoft’s declarative REST and GraphQL API design tool supports MySQL and Postgres as well as Azure databases and works anywhere you can run a Docker container. Microsoft Azure is now so big it’s ...
Application programming interfaces enable information systems to communicate and transfer data among each other. Depending how it is configured, an API can enable a system to send or retrieve data ...
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