“Experiences of Test Automation” is a compilation of experiences in the field from a multitude of organizations and technologies, including both obstacles and achievements, successes and failures.

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.

Leveraging AI to enhance test automation reshapes the landscape of software testing to align with these modern demands, redefining the nature of testing excellence.

With over a decade of experience in test automation architecture, Peddi has transitioned from classical, script-heavy methods to a cutting-edge AI-driven paradigm—supporting faster, more ...

Seamless scalability and security: Cloud-native architecture enables immediate test automation at scale while maintaining security and quality standards.

The right formation can improve the productivity of the enterprise's software quality assurance and business operations and increase automation ROI.

Automated test equipment market is pivoting from speed-centric instruments toward cloud-anchored, AI-driven, mixed-signal platforms that handle 6G, EV and compound-semiconductor complexities while ...