How do you analyze test results and collect statistical data?

The following approaches are usually used for analyzing test results and collecting statistics:

• Logging results: saving the results of each test (success/failure, execution time, errors) in a centralized storage or log system.
• Data aggregation: collecting statistics on the number of successful and unsuccessful tests, average execution time, error frequency.
• Visualization: using dashboards (e.g., Grafana, Allure) for visual display of trends and issues.
• Failure cause analysis: studying logs and traces to identify root causes of errors.
• Automated reporting: generating reports on testing results for the team and stakeholders.

Example: after running automated tests, results are recorded in a database, then a script generates a report with the percentage of successful tests and a list of failed ones, which helps quickly respond to problems.