As artificial intelligence continues to revolutionize industries, its application in quality assurance is emerging as a ...

AI agents hold great promise. They can rapidly explore flows, generate test ideas and produce evidence. Unfortunately, speed is not the same as trust. But when an AI agent claims that all tests have ...

Modern production lines require seamless automation integration, traceable data, uncompromised measurement integrity, and high throughput. Hipot testing, crucial for verifying insulation strength and ...

Test automation has come a long way from static scripts and rigid frameworks. Today, the focus is shifting toward intelligent, adaptive systems that can recover from failures and optimize themselves.

Abstract: The proliferation of web automation testing tools presents a significant challenge for developers and QA engineers in selecting the most suitable solution. This study provides a systematic ...

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 ...

Even though we are diving into a world where AI has already started transforming how automation scripting is created. It has not yet taken the unique place that test automation holds in the software ...

Abstract: This paper represents the integration of TensorFlow and Selenium to develop an AI-enabled automated testing platform for electronic and electrical systems. It uses secondary data from ...