Avoiding False Positives and Negatives in UI Test Automation
Executive Summary It shows up like this. The programmers make a change. At some point, the tests run, and there are a series of failures. The testers review the failures, and as it turns out, some large number of them were caused by the change. Others are “flakiness,” something wrong