Model-Based Test Automation for Selenide
Rapid and Rigorous Web UI Testing
Eliminate complex scripting, prevent bugs in production and avoid test data bottlenecks, generating rigorous automated tests and data for Selenide. Test Modeller builds complete flowchart models and executable code using a UI scanner, applying model-based techniques to generate the smallest set of Selenide tests needed for maximum coverage.
Manually Automating is not an Option in Short Iterations
Automated test execution is necessary to test at the speed with which today’s applications change. However, automation can introduce many new and complex processes. Frameworks typically rely heavily on complex scripting, but QA teams do not traditionally have the coding skills needed to script tests for complex applications. Automated tests also burn through data rapidly. Further bottlenecks arise as testers wait for slow data refreshes, and automated tests fail due to data conflicts and invalid data. Hand-written tests are furthermore brittle to UI changes and must be updated whenever the UI logic or element identifiers change. There is quickly too little time in short iterations to fix the backlog of broken tests, preventing successful automation adoption and eliminating test automation ROI.
Rapid and Rigorous Selenide Test Automation
Test Modeller allows testers with and without coding skills to become rapid automation engineers, combining UI scanners and importers with model-based test generation. Drag-and-drop model design automatically identifies equivalence classes and data for each scanned element, quickly assembling models to drive more rigorous testing. Automated test generation then compiles the smallest set of Java tests needed to “cover” the model, simultaneously resolving over 500 dynamic data expressions to create valid data for every test.
Test execution using Selenide frameworks or Continuous Integration frameworks is as easy as clicking “play”, while maintaining the tests and data is as simple as updating the easy-to-use models. This removes the bottlenecks associated with manual scripting, data allocation and maintenance, enabling rigorous Selenide automation within in the shortest iterations.
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