Design Faster

Generate test models in seconds at the push of a button

Generating tests models in Xray Test Case Designer is a fundamentally different process than selecting and documenting individual tests by hand, one by one. Generating optimized scenarios using Xray Test Case Designer requires that a thoughtful designer starts by identifying inputs and variation ideas and entering those into the tool.

This process might seem strange at first, but typically doesn’t take long to get used to and it quickly leads to enormous speed and thoroughness improvements. Once you’ve identified your system variation ideas, you’ll be able to generate entire sets of extremely thorough and extremely efficient scenarios in seconds and adjust them as necessary.

Approve Faster

Clearly communicate testing coverage for faster approvals

Each time you generate a set of scenarios, Xray Test Case Designer automatically creates insightful interaction coverage reports that make it clear exactly what (and what is not) covered after any scenario you choose. These visualizations facilitate clear and efficient communication between stakeholders. With Xray Test Case Designer’s coverage graphs in hand, you will immediately have clear, actionable, and fact-based answers to the questions posed above and the related questions of “How many tests are enough?”

Automate Faster

Quickly transform optimized scenarios into automated tests

If a large percentage of your automated tests today are individually written using hard-coded variables, the SDET’s, Developers, and/or automation engineers responsible for scripting and maintaining those would love our tool.

Xray Test Case Designer enables accelerated, optimized in-sprint automation because you can:

• Rapidly create clear, consistent steps that leverage Behavior Driven Development principles – the largest benefit is the one-to-many relationship between Xray Test Case Designer scripts and the data scenarios.
• Export one Scenario block into multiple skeletal scripts based on the language of your choosing.
• Maintain and reuse the script components much faster thanks to the model-based approach.