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.

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

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

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 ...

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.

The main concept behind the "Functional Decomposition" script development methodology is to reduce all test cases to their most fundamental tasks, and write User-Defined Functions, Business Function ...

Automation is the key to testing fast with high quality, but that's easier said than done. Here are some tips for getting started.

System-level QA This is where automation test scripts can execute various business processing scenarios that the application is likely to encounter.