My thoughts on ‘self-healing’ in test automation

This article discusses the problem of flaky tests in GUI test automation, where tests fail due to UI changes like button text or element IDs rather than actual product defects. It explains how self-healing features use probabilistic algorithms (often marketed as AI) to automatically identify and correct locators when tests fail, leveraging training data from historical changes. The author highlights the benefits of reducing rework but warns that these algorithms are probabilistic and can make mistakes, requiring human review. The piece is relevant to software testing, automation, and quality assurance in IT.