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

Automated test generation and software testing techniques are at the forefront of ensuring the reliability, efficiency and safety of modern software systems. These techniques harness advanced methods, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Forbes contributors publish independent expert analyses and insights. Craig S. Smith, Eye on AI host and former NYT writer, covers AI. Software development is a creative endeavor, but it can be filled ...

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 ...

In today's fast-paced software development landscape, agility and adaptability are crucial. With over 17 years in IT and a focus on advancing technology solutions, I’ve had the privilege of ...

AI-powered tooling has been around for quite some time. You may even be using AI-based services without even realizing it. However, they had been mostly a part of a backend and were effective only for ...

As more CIOs and devops teams embrace generative AI, QA teams must also adapt their continuous testing practices to keep up. This data suggests that more CIOs and devops teams will experiment with ...

Random number generation is an essential feature in Excel, allowing users to perform tasks such as simulations, creating test datasets, or experimenting with spreadsheet models. Excel provides three ...

Handling timing exception paths in ATPG tools while creating at-speed patterns has always been a tough and tricky task. It is well understood that at-speed testing is a requirement for modern ...