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, ...

Test data manage­ment (TDM) refers to the process of creating, main­taining, and using test data to validate the functionality of an application. TDM is a critical aspect of the testing process, as it ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

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 ...

The state will spend $575 million this year with the majority of private school students getting a voucher. It won't say how they're doing.

LOUISVILLE, Ky. (WDRB) -- Kentucky Department of Education has released its test score data for the 2023-24 school year, showing improvement in some areas while flatlining or decreases in others. The ...

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...

Widely available and nearly unlimited compute resources, coupled with the availability of sophisticated algorithms, are opening the door to adaptive testing. But the speed at which this testing ...

In today’s semiconductor industry, machine learning (ML) is no longer a buzzword — it’s an operational necessity. From optimizing test flows to identifying device drifts and executing advanced ...