Test Reporting, Metrics, and Insights

Test Results Dashboard for the entire team




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Dashboard to visualize Test Results for the whole team

The Dashboard enables continuous monitoring of testing and software status. It includes in-depth test metrics and quality health scores.

Managing Software Quality using a Dashboard

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CI/CD integrations to publish Test Results

Publish large volumes of automated test results with a single command. Include code coverage, static analysis, and other essential metrics.

Built-in support for branching, forks, and pull requests. Aggregates test results from parallel jobs.

Simple to integrate with well-known CIs (GitHub Action, Circle CI, Jenkins). Also, support for in-house proprietary automation systems.

Publish your test automation results

Insights for improving Release Management

When using Testspace, data generated from testing is continuously mined and stored. The analyzed data is presented as Insights used for making decisions and improving the development process.

Capture actionable metrics using simple CSV files

Built-in support for Testing Tools

Custom Metrics using CSV files

Testspace enables the conversion of output files containing data into usable metrics. Format the content as a CSV (.csv) file and push it with the test results.

Capture actionable metrics using simple CSV files

Resource Articles

Visualizing GitHub Automated Test Results

Visualizing GitHub Automated Test Results

Testspace has built-in integrations with GitHub Actions. To publish content simply “push” file(s) with the Testspace CLI. Test results, code coverage, and other artifacts can be published using a single command.

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Managing Software Quality Under Continuous Integration

Managing Software Quality Under Continuous Integration

Learn how Testspace simplifies managing software quality and release readiness, by leveraging important information buried in your CI/Build systems.

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Implementing Manual Tests using GitHub Repositories

Implementing Manual Tests using GitHub Repositories

Testspace automatically discovers manual tests that are captured using “simple” plain text Markdown files and are committed to a repository. This approach follows the same process as software development - version control, pull requests for reviews, etc. The files are rendered as test instructions, allowing human testers to execute and provide status.

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