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 ...

Automotive and aerospace tests generate trillions of bytes of data, which must be securely stored yet easily retrieved by others. Regulators must access the data to review safety test reports, and ...

Choosing the right test management tool directly impacts your team's ability to ship quality software fast. QA teams today juggle manual tests, automated suites, scattered documentation, and ...

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 ...

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 ...

R25 advances Test Data Management into the TDM 2.0 era with unified governance, database virtualization, and AI-ready data protection. Traditional TDM has historically delivered realistic ...

This guide presents an overview of the Top 15 Test Automation Tools, highlighting their key features, pros and cons, and ...

K2view report reveals that legacy tools and a disconnect between leadership and operational teams are the top roadblocks to effective test data management. Report reveals that legacy tools and a ...

Software teams sometimes ship multiple releases in a single day. But speed alone doesn’t guarantee success. What truly separates high-performing DevOps teams from the rest is how well they manage ...

In most conversations, data and AI are inextricably linked. The narrative tends to be that organizations are not using AI well if they don’t have quality data from the field feeding into AI models.