Overcoming DevOps obstacles—such as slow, manual, poor-quality test data—is key toward accelerating pipelines. With speed being a central success factor for DevOps pipelines, increasing velocity ...

Just 10 years ago, most application development testing strategies focused on unit testing for validating business logic, manual test cases to certify user experiences, and separate load testing ...

Cloud is for everyone, but not every single thing. This much we know. Generative AI is certainly also for everyone, but ...

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 ...

The complexity of software architecture and diverse user interactions presents challenges to conventional testing approaches. Traditional test automation and quality assurance engineering represented ...

Test automation has been pivotal in accelerating software releases, but it came with a high learning curve that limited its reach. No-code testing platforms helped ease that by enabling teams to ...

Test data management (TDM) is a crucial practice for ensuring compliant data and providing uniformity to test data. In the same way testing environments and data models are continuously evolving, test ...

SaaS teams face a constant challenge: how do you test fast enough to match weekly or daily releases without letting quality ...

Noname Security, the provider of complete API security solutions, is announcing the general availability of Active Testing V2, the latest iteration of the API security testing solution that eliminates ...

RPA vs. test automation: What are the differences? Your email has been sent Automation tools have since adopted 4.0 technologies in their evolution. Part of this adoption uses RPA, artificial ...