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Leverage reporting libraries like Allure, ExtentReports, or ReportNG to create detailed and insightful test reports. These tools help visualize test results, including pass/fail rates, execution times, and error logs, making it easier to analyze outcomes. By integrating these libraries into your framework, you can streamline result analysis, share findings with your team, and make quicker, data-driven decisions.
Connect your test automation framework with CI tools like Jenkins, CircleCI, or GitHub Actions. These tools can automate the execution of tests and collect results after each build. By setting up automated reporting and notifications, you can inform stakeholders about test outcomes and quickly identify issues. Additionally, many CI tools offer plugins for visualizing test results, enhancing the analysis process.
Integrate data visualization tools such as Grafana, Tableau, or Google Data Studio to analyze test results in a more comprehensive manner. By exporting test data to a data source compatible with these visualization tools, you can create interactive dashboards that display trends, test coverage, and performance metrics over time. This approach helps teams gain deeper insights into the quality of their software and make data-driven decisions.