GlossaryResult

Result

A test result is the final status of a test execution, such as passed, failed, or error, along with the context needed to understand why it ended that way.

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Common test result states

Results give direct feedback on code quality, stability, and release readiness.

  • Passed: the test met every expected condition
  • Failed: one or more assertions did not hold
  • Error: the test could not finish because of a timeout, misconfiguration, or system issue
  • Skipped: the test was intentionally not run

Failed vs. error results

The two often get mixed up. They point to different kinds of problems.

Failed Error
Meaning The app behaved incorrectly The test could not run properly
Typical cause A real bug or regression Timeout, bad config, missing dependency
Who fixes it Developers Test or platform owners
Next step Fix the code Fix the test or environment

Why results matter in testing

Results are how teams understand quality, catch regressions, and guide decisions. Without reliable results, nobody can judge the impact of a change.

  • Quality measure: shows whether features and fixes work
  • Continuous feedback: fast insight into each commit or deployment
  • Automation: CI/CD stages advance only when results pass
  • Debugging: points to where and why failures happen
  • Traceability: ties outcomes to code versions and environments
  • Analytics: powers trend analysis over time

Consider a SaaS team that sees a test fail once a week. Stored results show it fails only in one region. The cause is an environment setting, not the code.

Common challenges with test results

  • Flaky tests: intermittent failures make results unreliable
  • Data silos: results scattered across tools and environments
  • Weak traceability: hard to map results to builds or commits
  • Poor visibility: no aggregation across pipelines and clusters
  • Mixed formats: each framework outputs results differently
  • Lost history: old results deleted or archived inconsistently

Centralizing results and standardizing formats keeps them accurate and traceable.

How results relate to Testkube

Testkube captures results for every execution and stores them centrally. Teams can correlate outcomes and make data-driven release decisions.

  • Every outcome: pass, fail, and error recorded with full context
  • Central history: one record across namespaces and clusters
  • Metadata: each result linked to its test, environment, and trigger
  • Real-time view: results appear during and after execution
  • Trend analysis: history supports reporting and regression detection
  • Metrics export: result data flows to Prometheus and Grafana

Real-world examples

  • Post-deploy review: a QA team finds unstable services from failed results in Testkube
  • Release gates: a DevOps engineer stops releases when Testkube results fail
  • Fix verification: a developer filters results by branch and environment
  • Trend charts: a platform team charts pass and fail trends in Grafana
  • Audits: a compliance team reviews stored results across environments

Frequently Asked Questions (FAQs)

What is a test result?

It is the final status of a test run, such as passed, failed, or error.

What is the difference between a failed and an errored test?

A failed test found incorrect behavior. An errored test could not run properly.

How do flaky tests affect results?

They pass and fail without code changes, which hides real problems and erodes trust.

How does Testkube store test results?

Testkube stores every result centrally with logs, metadata, and links to the test and environment.

Can I use test results to block deployments?

Yes. CI/CD pipelines and quality gates can stop releases when results fail.

How long should test results be kept?

Keep enough history to spot trends and meet audit needs, often several months.

Related Terms and Concepts

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