UI Test Automation

Eliminate scripting bottlenecks with in-sprint testing.

Exploratory bots and a UI scanner generate rigorous automated tests and visual flowcharts of fast-changing UIs. The intuitive flows enable close cross-team collaboration and provide full visibility into bot-driven testing, targeting UI testing where it matters most in-sprint.

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"Zero touch" test automation


With Test Modeller, UI Test Automation is:
  • Rapid, using a UI Scanner and exploratory bots to build visual models and auto-generate rigorous automated UI tests in-sprint.

  • Rigorous, optimising test generation to target UI testing on new, previously buggy or otherwise high-risk areas of fast-changing UIs.

  • Reactive to change, maintaining test cases and scripts from intuitive flowcharts and generating self-healing page objects to test in-sprint.

  • Collaborative, with business users and testers using visual flowcharts to select where to target optimised, bot-driven test generation.

  • Measurable, using visual flowcharts to maintain visibility and know exactly what is being tested during optimised UI test generation.

  • Open and plugged in, pushing optimised test cases to existing automation frameworks and test management tools, and triggering CI/CD processes automatically.

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Continuously Test Fast-changing UI's


Test Modeller enables in-sprint UI test automation, using robotic test generation and a UI scanner to generate rigorous automated tests. Test teams can further re-use code from existing automated frameworks, retaining full flexibility when generating optimised tests from visual flowcharts.

In-Sprint UI Test Automation:
"Manual" 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.

Automated test generation avoids scripting bottlenecks:

Test Modeller rapidly auto-generates optimised tests for homegrown, open source and commercial frameworks, enabling rigorous in-sprint testing.

‘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.

Rigorous testing in short iterations:

Updating central flowcharts generates up-to-date UI test suites, with self-healing identifiers that reduce time-consuming automated test failures.


UI testing lags behind rapid releases:

Testers manually check and update test cases and scripts every time the UI changes. Testing lags behind releases, exposing business-critical UIs to bugs.


UI test automation that’s aligned to business value:

Intuitive flowcharts visualise exactly what has been tested in past runs, while allowing technical and business teams to select where to focus optimised test generation.

Miscommunication creates frustrating rework:

Test automation is often siloed from system design. Delays stem from miscommunication and rework, while it is hard to know when testing is “done” before a release.


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Bot-driven test automation enables rigorous testing in-sprint with Test Modeller.

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