5/30/2023 0 Comments Teamcity vs gitlab![]() Sometimes, for large suites, the execution time can be many hours. Risk group tests re-orderingĪ test suite with a large number of tests takes some time to execute. The data is then rendered with the test results:įor more about metadata in tests, read this blog post. We can use service messages to associate the data with the test. ![]() The types of data that we can associate with the test is text, numeric values, images, and files that are published as build artifacts. In TeamCity, a test may be associated with some information – the metadata. This is useful when we need to analyze why the test failed and any additional information can help save precious time. For instance, include a screenshot, add some numeric data, or just provide any description. Sometimes you need to provide more data with the test results. We can view the full report on the Code Coverage tab. We can choose the code coverage runner and specify which binaries should be inspected.Īfter the test execution, the coverage metrics are presented on the build overview page. To get the code coverage information displayed in TeamCity for the supported tools, first we need to configure it in the dedicated section of a Build Runner settings page.įor instance, for Maven build step, at the bottom of the configuration page, we can find the Code Coverage section. Code coverageĬode coverage is a combination of metrics that measure how your code is covered by unit tests. Then maybe the failure is related to the environment and not the test logic itself. For instance, the test might be failing only on a specific build agent. The test results are associated with the build agent which helps to diagnose the failures better. Hence, the test was marked as flaky so that we could easily find it in the test report. At the screenshot below, we can see that the test status was changing from passed to failed and back a few times, even though there were no related changes in the version control. ![]() Once the tests are fixed, we can unmute them again. Muting the tests will allow the build to pass so that the build chain can continue the execution. For instance, we can mute all the flaky tests for the duration while someone is fixing them. TeamCity detects flaky tests and displays them on the dedicated tab for a given project.įor every single test, we can view the history, assign an investigation, or temporarily mute the failure. Analyzing the historical test reports manually to find out, if there are any flaky tests would take ages. It’s really great if we can detect such unstable tests sooner and fix them faster. Flaky tests can be caused by various factors: environment affecting the test or application code, concurrency issues, etc. Sometimes, seemingly at random, the same test of the same code will produce different results. We may want to fix something in the environment for that agent, or we can also exclude the agent entirely for this build configuration by adjusting the Agent Requirements. The graph immediately shows us whether any agents are performing poorly for the specific test. The duration is associated with the build agent on which the test was executed. Since TeamCity preserves the history of the tests, we can also see the historical data for their duration: It is possible to use the controls at the top of the list for grouping and filtering the results. For instance, for build number 14 we can see that there are 39 passed tests, and 1 test ( system.CrashControllerTests) is ignored.įurther on, the Tests tab displays the full list of the tests that were executed: If we choose a single build and navigate to the build overview page, we will see some more data. We can also see the numbers for failed, ignored, and muted tests. On the build configuration home page, for each build, we can see the number of tests that were executed. It all starts with presenting the results. ![]() In this blog post, we provide a brief overview of these features. Besides that, TeamCity includes advanced features like code coverage, flaky test detection, metadata in tests, and the ability to re-order the test execution. First of all, it presents the test results for each build execution so it’s easy to analyze what happened and why something has failed. TeamCity offers a number of ways to help you work with tests.
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