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 ...

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 ...

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, ...

Are you grappling with managing your test data in an automation framework? Here’s a fact: effective Test Data Management (TDM) can significantly improve your software testing process. This ...

Where real data is unethical, unavailable, or doesn’t exist, synthetic data sets can provide the needed quantity and variety. Devops teams aim to increase deployment frequency, reduce the number of ...

Those charged with the care and feeding of database information stores, beware: A new statistic tucked into a comprehensive study of financial services firms' data protection policies shows that even ...

When testing the user experience of a new tech product, making the experience as true to “real life” usage for testers as possible is an important part of getting genuinely insightful feedback.

Next Pathway Inc., a provider of automated cloud migration technologies, has added key data validation and test automation capabilities to its toolbox. The new version of Shift Tester, announced today ...