Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...

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 ...

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 ...

Tricentis, a global leader in continuous testing and quality engineering, is introducing its spring release, adding new cloud capabilities for the company’s AI-powered, model-based test automation ...

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 ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

When evaluating AI for testing, prioritize approaches that keep teams in control and maintain end-to-end testing connectivity ...

Combine AI-generated tests with intelligent test selection to manage large regression suites and speed up feedback ...

Service based organizations are juggling many new challenges precipitated by evolving business models and competitive pressures. What professional services (PS) organizations need to overcome these ...

With the endless AI buzz dominating every technology headline and press release, it’s easy to forget the origins of “computer intelligence”; namely the likes of expert systems, macros and the “A” word ...