9 items tagged with "testing"
Flaky tests are an invisible tax on engineering velocity. Industry data from Atlassian, Google, and Microsoft shows 13-16% of test failures are flaky. Here's how to calculate the real cost.
Dogfooding Gaffer's MCP coverage tools on our own codebase.
JUnit XML is the de facto standard for test result reporting. Here's how the format works, how to generate it from any test framework, and how to use it for CI integrations.
Test artifacts are the files and data generated during test execution - reports, logs, screenshots, coverage data, and more. Here's what they are, why they matter, and how to manage them.
Using Gaffer's own analytics to find and fix slow E2E tests. Here's what I found and how I fixed it.
Automatically identify tests that flip between passing and failing across runs.
A new analytics view showing test trends, pass rates, and performance over time.
Get AI-generated insights explaining why your tests failed and suggestions for fixes.
Upload test results in the Common Test Report Format used by many testing frameworks.