Learn the NumPy trick for generating synthetic data that actually behaves like real data.

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 ...

OK, I found a couple things this weekend that were pretty cool. First, Red-Gate has a new data generator. It's been a long time since a standalone data generator has hit the market. I'm not sure why, ...

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 ...

They can also use synthetic data generators to create realistic test data that matches the production data’s structure and characteristics. When production data exists, repurposing it for test usage ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

Test automation and DevOps play a major role in today's quality assurance landscape. As we know, software development is evolving at a rapid pace. This requires finding robust ways to invest in ...