QMetry Test Management

smartbear.com ↗

Manage test cases, suites and releases with AI-assisted authoring and CI integrations.

SI Score
75/100
Pricing
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Ask SI about QMetry Test Management

Answers use saved listing facts and recorded sources.
Homepage screenshot
Screenshot of the QMetry Test Management homepage

What it does

QMetry Test Management is a cloud or server-deployed system for organizing software test cases, runs, defects and release information. Its product overview describes AI-generated test cases from user stories, flaky-test detection, suite prioritization and integration with issue trackers, CI systems and automation frameworks. It helps teams manage test coverage and execution records; the product page does not position it as a replacement for the team's test runner.

Turn product requirements into tracked cases

QMetry Test Management is for teams that need a system of record for test coverage. A practical first task is to bring a user story into the team's workflow, use the product's AI-assisted authoring to draft candidate cases, then review and organize the cases before execution. The official overview also describes defect detection, reuse, suite prioritization and dashboards for examining test runs and release information.

The product lists integrations with Jira, Azure DevOps, Jenkins, CircleCI, Bitbucket, GitHub and automation frameworks. Those connections let teams relate case management to their existing planning and test execution workflow instead of replacing every runner. QMetry offers Cloud and Server deployments, so teams should compare hosting and administration requirements for their environment.

The product has a 15-day free trial. The public pricing page presents flexible plans and a Get Pricing route but does not expose complete rates in the accessible page text. Check the current Cloud or Server offer and terms with SmartBear before budgeting. This entry covers QMetry Test Management, not the separate SmartBear products ReadyAPI or LoadNinja.

Strengths

  • AI-assisted authoring can generate test-case drafts from user stories, while reviewers retain control over the cases they keep.
  • Flaky-test detection, suite prioritization and dashboards help teams investigate test health and release coverage.
  • The product lists integrations with common issue trackers, CI systems and automation frameworks.
  • Cloud and Server deployment options let teams evaluate different hosting arrangements.

Watch out for

  • QMetry manages test information and execution records; teams still need a test framework or runner to perform automated checks.

Best for

  • QA teams linking requirements, reusable test cases, defects and release runs.
  • Engineering organizations that want test-management records connected to existing issue trackers and CI.
  • Teams comparing hosted and server-based test-management deployments.

Sources