Understand how mainframe automation testing works, the various benefits it offers, the latest trends and what lies ahead in ...

Discover how AI and machine learning reduce flaky tests, cut maintenance costs, and improve accuracy in modern automated testing.

In the article Alexander responds to the questions about the difference between test frameworks and test scripts and discusses an approach for how test a automation solution could be implemented.

Introduction Automated test scripts are known difficult to maintain. With wide adoption of agile methodologies in enterprise software projects, one of its core practices: automated functional ...

Integrating automation testing with modern application test cases like cross-browser testing massively boosts the dependability, productivity, and overall ...

While test agents hold the potential to transform automation, their successful adoption depends on addressing key challenges.

Test intelligence streamlines testing using data analytics, machine learning and artificial intelligence.

Authoring Automation Test Code: AI can assist in authoring automation test scripts and creating end-to-end (E2E) automation tests based on various inputs such as use cases, test cases, or even the ...

Overview: Real projects boost skills and show readiness for real testing challenges.Combining web, mobile, API, and AI ...