47. Stabilizing suites, reporting, and best practices

Goal

Why this matters

Prerequisites

1. Triage flakiness with classification

Begin every investigation by tagging failures:

Maintain a living flake log referencing test name, platform, root cause, and remediation. Automate updates by pushing annotations into test reporters (Azure Pipelines, GitHub Actions).

2. Quarantine and retries without hiding real bugs

Retries buy time but can mask regressions. Strategies:

3. Capture rich diagnostics

For every critical failure, collect:

Build helper methods so tests simply call ArtifactCollector.Capture(context);. Ensure cleanup occurs even when assertions throw (use try/finally).

4. Standardize waiting and polling policies

Enforce consistent defaults:

Document wait policies in CONTRIBUTING guidelines to onboard new contributors.

5. Structure reports for quick scanning

Azure Pipelines / GitHub Actions

Local development

6. Enforce coding standards in tests

Add lint tooling (Roslyn analyzers or custom scripts) to scan for banned patterns (e.g., Thread.Sleep() in test projects.

8. Troubleshooting checklist

Practice lab

  1. Artifact collector – Implement a helper that captures Appium logs, driver logs, screenshots, and optional videos when a test fails. Wire it into an xUnit IAsyncLifetime fixture so it runs automatically.
  2. Wait audit – Write an analyzer or script that flags Thread.Sleep usages in the Appium test project. Replace them with explicit waits and document the change.
  3. Quarantine lane – Configure your CI pipeline with two jobs: stable and quarantine (dotnet test --filter "Category!=Quarantine" vs. Category=Quarantine). Move a flaky test into the quarantine lane and verify reporting highlights it separately.
  4. Trend dashboard – Export TRX results for the past week and build a simple dashboard (Power BI, Grafana) showing pass/fail counts per platform. Identify top flaky tests.
  5. Regression template – Create an issue template that captures test name, platform, driver version, app commit, and links to artifacts. Use it when logging Appium regressions to standardize triage information.

What's next