"Delivering high-quality software is a necessity and that's why Azure Test Plans has introduced the all-new Test Run Hub, an enabler for teams who want to take control of their testing process and drive continuous improvement. The Test Run Hub is designed to help teams track test progress, analyze results, and maintain quality across every development cycle. Whether you're running manual or automated tests, the new test run hub brings clarity and efficiency to your quality assurance workflow."
"Key Benefits Real-Time Visibility: Instantly monitor test progress and quality trends, so you can spot regressions or failures before they impact your release. Comprehensive Analytics: Dive into historical test data to audit, analyze, and continuously improve your testing strategy. Seamless end to end user flow: Test runs are created automatically from test plans or automated test pipelines, capturing every detail of an execution's outcomes."
"Accessing and managing your test runs has never been easier: Navigate to the Test Plans section in your Azure DevOps project and select "Runs" under the Test Plans section. Use powerful filters-timeline, run type, test run ID, and more-to find exactly what you need. Customize your view with persistent search and column settings, ensuring your dashboard always fits your workflow."
Test Run Hub centralizes test execution tracking and reporting for manual and automated tests. It provides real-time visibility into test progress and quality trends to detect regressions before release. Built-in analytics enable auditing of historical test data and continuous improvement of testing strategies. Test runs are created automatically from test plans or automated pipelines, capturing execution details. Users can filter runs by timeline, type, and ID, and customize persistent search and column settings. Each run includes an analytics dashboard with drill-downs by outcome, priority, configuration, failure type, and resolution. Attachments and links to work items support collaboration and root-cause analysis.
Read at Azure DevOps Blog
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