UI Test Automation

Bots hunt for the identifiers needed sprint-over-sprint

Test Modeller’s exploratory bots and UI Scanner rapidly generate reliable page objects that self-heal as the UI changes.

Intricate DOM structures cause automation headaches:

Automation engineers analyse complex UI code, picking out brittle identifiers that will break as the UI changes.

‘Manual’ test automation cannot test UIs in-sprint:

Writing scripts for test automation frameworks is slow and skill-intensive, creating brittle tests that need maintaining in future sprints.

Comprehensive test suites, generated in minutes:

Powerful mathematical algorithms optimise UI testing to cover a wide range of positive and negative test scenarios in the smallest number of tests possible.

Slow and manual test design leaves UIs exposed to bugs:

Creating test cases in spreadsheets and test management tools is slow and unsystematic, only hitting on a fraction of the combinations needed for rigorous UI testing.

Accurately target UI test generation based on time and risk:

Testers, developers and business analysts can arget functionality in visual flowcharts, auto-generating tests that focus UI testing where it matters most.

Wasteful over testing and low test coverage:

Manual test creation focuses near exclusively on “happy path” scenarios, over-testing these at the expense of the scenarios most likely to cause bugs.

On tap test data for every automated UI test:

Test Modeller generates on-the-fly data as tests are generated and run, providing rich and compliant test data for every test.

The greatest test automation bottleneck?

Unavailable or incomplete test data creates further testing bottlenecks as low-variety data sets are slowly copied to test environments.