What’s the point of linking results from a CI test that already ran in Azure Pipelines to an Azure Test Plans test case as its associated automation, and then … I guess … being able to run it again somehow through another CI step called AzureTestPlan? You already ran it. What’s the point? I must not understand SDLCs with ADO well enough
Linking CI test results from Azure Pipelines to Azure Test Plans test cases allows you to:
- Enable traceability between requirements, test cases, and builds, providing end-to-end visibility into what was tested and its outcome123.
- Centralize test reporting and analytics, so stakeholders can view test results in the context of user stories or features, not just pipeline runs143.
- Allow rerunning specific tests or suites on demand (e.g., for user acceptance, regression, or exploratory testing) via Azure Test Plans, independent of regular CI triggers52.
- Support manual and automated test management in one place, improving collaboration and quality tracking across teams67.
In summary, the value is in traceability, reporting, and flexibility to manage and rerun tests as part of broader test and release processes-not just running them once in CI123.
But why the AzureTestPlans@0 CI task’s existence, then? Haven’t all Azure Pipelines coders already run their tasks before making them available for rerun through this task?
The AzureTestPlans@0 task exists to let you run test cases defined in Azure Test Plans-either manual or automated-directly from your pipeline, not just as part of the developer’s usual CI runs89. This enables:
- Centralized, repeatable execution of tests tied to business requirements or releases, even outside normal CI/CD triggers9.
- On-demand or scheduled test runs for scenarios like user acceptance, regression, or release validation, ensuring traceability and coverage for stakeholders9.
- Unified reporting and defect tracking in Azure Test Plans, regardless of how or when the tests were last run in CI9.
So, it’s about orchestrating and tracking tests from a quality-management perspective, not just running them once in CI89.
Who’s building and maintaining the automation that invokes that (redundant!) AzureTestPlans@0 test, then?
The automation that invokes the AzureTestPlans@0 task is typically built and maintained by your DevOps or QA team-specifically, those responsible for test management and release quality in Azure DevOps. These teams define which test cases in Azure Test Plans should be executed as part of certain pipelines, often for regression, user acceptance, or release validation scenarios1011.
While individual developers may run tests in their own CI pipelines, the AzureTestPlans@0 task is managed at a higher level to ensure coordinated, traceable, and repeatable test execution across releases and environments, supporting broader quality and compliance goals10.
Can you tell me a realistic story to make it make more sense?
Absolutely! Here’s a realistic story to illustrate why and how the AzureTestPlans@0 task is used, and why it’s not redundant:
The Story of Contoso Widgets: Why AzureTestPlans@0 Matters
Meet the Team
- Dev Team: Builds features and writes unit/integration tests. Their CI pipelines run on every commit.
- QA Team: Writes test cases in Azure Test Plans, including both manual and automated tests mapped to user stories.
- Release Manager: Oversees releases, ensuring all critical business scenarios are tested and traceable.
The Workflow
1. Development and CI Pipelines
- Developers push code.
- Azure Pipelines runs the build and executes all automated tests (unit, integration, some end-to-end).
- Results are visible in the pipeline, and often linked to Azure Test Plans test cases for traceability.
2. Test Case Management
- The QA team maintains a suite of test cases in Azure Test Plans, covering critical business flows.
- Some of these test cases are automated and linked to the tests developers wrote.
- Others are manual, for exploratory or edge-case scenarios.
3. Release Time
- The Release Manager needs to ensure that, for this release, all critical business scenarios (as defined in Azure Test Plans) have passed on the staging environment with the release candidate build.
- It’s not enough to rely on the last CI run, which might have been on a developer’s feature branch or a different environment.
4. Orchestrating a Release Validation Run
- The Release Manager triggers a special pipeline stage using AzureTestPlans@0.
- This task fetches the list of automated test cases from Azure Test Plans that are marked as “required for release validation.”
- It runs those tests against the deployed release candidate in the staging environment-not just the code as it was in CI.
- Results are pushed back to Azure Test Plans, providing a clear, auditable record: “These exact tests passed on this exact build, in this exact environment, before release.”
5. Why Not Just Use CI Results?
- CI runs may be on different code, different environments, or incomplete test sets.
- AzureTestPlans@0 ensures tests are run in the right context (environment, build, configuration) and results are traceable to business requirements.
- This supports compliance, audit trails, and stakeholder confidence.
6. Outcome
- If all tests pass, the Release Manager has confidence (and evidence) that the release meets quality standards.
- If any fail, defects are logged and addressed before go-live.
The Takeaway
AzureTestPlans@0 isn’t redundant-it’s about orchestrating and tracking the right tests, in the right place, at the right time, for release quality and traceability. It bridges the gap between “developer CI” and “business-ready release validation.”
If you want, I can give you a diagram or a summary table to reinforce this!
Oh! So if what’s released is always just what’s in “main,” and the merge into main had CI tests run against it, then AzureTestPlans@0 might be redundant for that team?
Yes, if your team always releases directly from “main,” and every merge into “main” triggers all required CI tests in the correct environment, then running those same automated tests again with AzureTestPlans@0 could be redundant for your workflow121314. The main value of AzureTestPlans@0 is when you need extra traceability, want to rerun tests in a specific release or staging environment, or need to satisfy compliance or audit requirements beyond what CI already covers15. For many teams, CI on “main” is sufficient if that matches exactly what’s released and how it’s tested13.
Best-Suited Webapp Tests for Rerun via AzureTestPlans@0
- End-to-end (E2E) automated tests that validate critical business flows in a production-like environment, ensuring the release works as expected after deployment16.
- Regression test suites that need to be rerun for every release candidate to catch issues introduced by recent changes16.
- User acceptance tests (UAT) that must be executed in a specific environment for stakeholder sign-off17.
- Cross-browser or cross-platform tests to verify consistent behavior across different user environments16.
Less-Suited or Redundant Tests
- Unit tests and low-level integration tests already run as part of every CI build, especially if the release is always from a branch (like “main”) that’s already fully validated.
- Highly environment-specific tests that only make sense in developer or ephemeral test environments.
- Tests for non-critical or experimental features not required for release validation or compliance.
Summary: Reruns are most valuable for high-level, business-critical, or compliance-driven tests that must be validated in the release environment. Routine developer-level tests are usually redundant to rerun this way1617.
Can you give me an example of running Playwright tests at CI-time with its (Node.js) CLI, and then associating them with test cases, and then them being re-runnable from Azure Test Plans? Please tell me stories about the nature of all of the Playwright tests and about the natire of all of the Azure Test Plans test plans/suites/cases.
Here’s a realistic example tying together Playwright tests, Azure Pipelines CI, and Azure Test Plans:
Example: Playwright Tests and Azure Test Plans Integration
Story: Your team builds a web app with critical user flows-login, checkout, and profile update. You want both automated traceability and the ability to rerun these tests for release validation.
1. Nature of Playwright Tests
- The team writes Playwright end-to-end tests in TypeScript, each covering a key business scenario (e.g., “User can log in,” “User can check out”).
- Each test is tagged with an Azure Test Case ID, e.g.:
test('User can log in [^7_395]', async ({ page }) => { ... })
- These tests are run in CI on every push to
main
using the Playwright CLI:
npx playwright test
- The
@alex_neo/playwright-azure-reporter
package is used to automatically report results back to Azure Test Plans, linking each test to its corresponding test case181920.
2. Nature of Azure Test Plans Structure
- Test Plan: “WebApp Release Validation”
- Test Suites: Organized by feature (e.g., “Authentication,” “Checkout”)
- Test Cases: Each case represents an acceptance criterion, e.g., “Login succeeds with valid credentials” (ID: 395), “Checkout completes with valid payment” (ID: 396).
- Each test case is manually created and its ID is used in the Playwright test tag19.
3. CI Integration
- Azure Pipelines runs the Playwright tests on every commit to
main
. - Results are published to Azure Test Plans, updating the status of each linked test case for traceability and reporting181920.
4. Rerunning via Azure Test Plans
- For a release, the QA or Release Manager can trigger a rerun of all or selected automated test cases directly from Azure Test Plans (using AzureTestPlans@0 or similar orchestration).
- This rerun targets the deployed release candidate in a staging or production-like environment, ensuring tests pass in the final context-not just in CI182120.
- Results are again reported back to Azure Test Plans, providing history and compliance evidence.
Summary Table
Playwright Test Nature | Azure Test Plans Structure | How They’re Linked \& Rerun |
---|---|---|
E2E, business-critical flows | Test plans/suites/cases per feature | Tag test title with case ID; results auto-published; reruns for release validation |
This setup ensures every requirement is tested, traceable, and re-verifiable at release time-providing confidence and auditability beyond regular CI runs18192120.
What steps are needed to associate a Playwright test with a test case in Azure Test Plans
To associate a Playwright test with a test case in Azure Test Plans, follow these steps:
- Create test cases in Azure Test Plans: Manually set up your test cases for each business scenario you want to automate222324.
- Tag Playwright tests with Azure Test Case IDs: In your Playwright test code, add the Azure Test Case ID as a tag (e.g.,
@[^8_395]
) so the test can be linked to the corresponding test case25. - Install a reporter to publish results: Use a package like
@alex_neo/playwright-azure-reporter
to automatically report Playwright test results back to Azure DevOps and associate them with the test cases25. - Configure authentication: Generate an Azure DevOps Personal Access Token and add it, along with other required environment variables (organization, project, plan ID), to your environment or CI pipeline25.
- Run Playwright tests in CI: Execute your Playwright tests via the CLI in your pipeline, ensuring the reporter is configured to publish results to Azure Test Plans2523.
- Verify association: In Azure Test Plans, check that your test cases now show automated test results and are marked as automated2623.
This setup enables traceability, reporting, and the ability to rerun automated Playwright tests directly from Azure Test Plans as part of release or validation pipelines2523.
What are the common issues when running Playwright tests linked to Azure Test Plans
Common issues when running Playwright tests linked to Azure Test Plans include:
- Authentication errors: Tests may fail with
401 Unauthorized
if the Azure DevOps access token is invalid or expired. Always verify token validity and permissions27. - Configuration mismatches: Incorrect test plan, suite, or test case IDs in your configuration can prevent results from being reported or cause errors like “No test points found for test case”28.
- Reporter/tooling limitations: Playwright does not natively support Azure Test Plans integration; you must use third-party reporters (e.g.,
@alex_neo/playwright-azure-reporter
). Misconfiguration or incompatibility can lead to missing or incorrect test result updates292830. - Test discovery issues: If the Playwright CLI runs in the wrong directory, it may not find your tests, causing the pipeline to fail31.
- Test execution problems: Tests may hang or timeout due to network latency, region mismatch, or leftover debugging statements (like
pause()
), especially when running in remote or cloud-hosted environments2732. - Trace file congestion: Enabling Playwright tracing can slow down or cause timeouts when transferring trace files in the cloud. Disabling tracing may help if you encounter performance issues27.
Addressing these issues often involves careful configuration, validating IDs and tokens, and ensuring your pipeline and reporter setup matches Azure Test Plans requirements.
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https://learn.microsoft.com/en-us/azure/devops/test/overview?view=azure-devops ↩ ↩2 ↩3
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https://learn.microsoft.com/en-us/azure/devops/test/associate-automated-test-with-test-case?view=azure-devops ↩ ↩2 ↩3
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https://www.frugaltesting.com/blog/getting-started-with-azure-test-plans-a-step-by-step-guide ↩ ↩2 ↩3
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https://www.accelq.com/blog/automated-testing-with-azure-devops/ ↩
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https://learn.microsoft.com/en-us/azure/devops/test/run-automated-tests-from-test-hub?view=azure-devops ↩
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https://www.linkedin.com/pulse/mastering-azure-test-plans-enhanced-software-quality-fozong-fonka-1nnle ↩
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https://www.lambdatest.com/blog/azure-devops-testing/ ↩
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https://learn.microsoft.com/en-us/azure/devops/pipelines/tasks/reference/azure-test-plan-v0?view=azure-pipelines ↩ ↩2
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https://www.frugaltesting.com/blog/getting-started-with-azure-test-plans-a-step-by-step-guide ↩ ↩2 ↩3 ↩4 ↩5
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https://www.frugaltesting.com/blog/getting-started-with-azure-test-plans-a-step-by-step-guide ↩ ↩2
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https://azuredevopslabs.com/labs/azuredevops/EndtoEnd/services/testplans.html ↩
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https://www.reddit.com/r/devops/comments/17hjl8m/when_to_run_which_tests_during_ci/ ↩
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https://devops.stackexchange.com/questions/9855/trunk-based-development-release-branch-testing ↩ ↩2
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https://www.thedataschool.co.uk/edward-hayter/what-is-ci-cd-how-can-azure-devops-help/ ↩
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https://learn.microsoft.com/en-us/azure/devops/test/overview?view=azure-devops ↩
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https://www.frugaltesting.com/blog/getting-started-with-azure-test-plans-a-step-by-step-guide ↩ ↩2 ↩3 ↩4
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https://marcusfelling.com/blog/2023/using-azure-test-plans-with-playwright/ ↩ ↩2 ↩3 ↩4
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https://abigailarmijo.substack.com/p/a-guide-to-azure-devops-pipelines ↩ ↩2 ↩3 ↩4
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https://ray.run/discord-forum/threads/20088-running-playwright-tests-using-azure-test-plans ↩ ↩2 ↩3 ↩4
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https://github.com/ryanpfalz/azure-devops-testplans-playwright ↩ ↩2
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https://marcusfelling.com/blog/2023/using-azure-test-plans-with-playwright/ ↩
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https://github.com/ryanpfalz/azure-devops-testplans-playwright ↩ ↩2 ↩3 ↩4
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https://www.lambdatest.com/blog/azure-devops-testing/ ↩
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https://abigailarmijo.substack.com/p/a-guide-to-azure-devops-pipelines ↩ ↩2 ↩3 ↩4 ↩5
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https://learn.microsoft.com/en-us/azure/devops/test/associate-automated-test-with-test-case?view=azure-devops ↩
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https://learn.microsoft.com/en-us/azure/playwright-testing/troubleshoot-test-run-failures ↩ ↩2 ↩3
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https://ray.run/discord-forum/threads/20088-running-playwright-tests-using-azure-test-plans ↩
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https://marcusfelling.com/blog/2023/using-azure-test-plans-with-playwright/ ↩
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https://stackoverflow.com/questions/78787595/playwright-test-execution-on-azure-windows-machine-fails-in-pipeline-with-error ↩
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https://stackoverflow.com/questions/73738189/playwright-test-fails-on-azure-devops-pipeline-and-pipeline-hangs/73773074 ↩