Software Testing Metrics
Generate meaningful measures of effectiveness and quality with TestRail
Testing software is just one part of the team’s job. Measuring quality and making the right decisions is another. TestRail helps with both so that you can meet your quality goals and your schedule.
folderCollect and Organize Test Cases
Combine test cases into test suites. Set project milestones and assign tasks to individual testers.
timelineMeasure Progress and Success Rate
Clear reports, project dashboards, and email notifications tell you where you are in the test cycle.
done_all Track Execution and Test Results
Track the number of completed and failed tests with a detailed history of all past results.
insert_chartTake Action in the Right Areas
Reports on several levels: project reports, milestones, down to single test runs, guide your decisions.
Why software testing metrics matter:
Software testing metrics are important for many reasons. Most importantly, they are decision points that lead you to take action. The metrics you choose determine how effective those actions are in improving your quality level.
Software testing metrics also help you judge how efficient your testing efforts are and how productive your test team is. How many test cases are added for new release? How many tests pass in the first run, how many failed and require a retest? Which bug reports were filed in each cycle?
TestRail helps you keep track of those testing metrics and much more. Reports on various levels give you insights about individual test runs, milestones, and project status with high level project reports. All project activities and test results are archived so that you can learn from the past, identify trends, and be better prepared with each new release cycle.
admin_panel_settingsManaging a large team or mission-critical testing project?
TestRail Enterprise is what you are looking for! Get enterprise-level features like SSO and audit logging, plus priority support to keep your project on schedule. TestRail Enterprise is available for both cloud-based and server instances.