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Model-Based Test Automation for Cypress:
Rapidly Create and Maintain Rigorous Automated Tests
Generate optimised scripts and data for Cypress, rigorously testing fast-changing web applications. Test Modeller removes the bottlenecks associated with manual scripting, data allocation and maintenance, enabling comprehensive testing in short iterations.
‘Manual’ Test Automation Cannot Keep Up
Even with a structured framework like Cypress, automating test execution is not enough to test complex web applications rigorously in short iterations. Automation engineers must still write Javascript, creating and repeatedly copying boilerplate code. They must furthermore source the data with which to execute each and every test, but many combinations are missing in available data copies. System changes furthermore break tests, and a backlog grows rapidly as change requests render scripts and data invalid. There is soon no time to check and update every test needed for rigorous testing, exposing web applications to damaging defects.
Test Web Applications Rigorously in Short Sprints
Test Modeller allows QA teams and developers to get the most out of Cypress, automatically generating rigorous Javascript tests and data. An application scanner builds Cypress libraries in minutes, and without the need to write copious Javascript. Selecting UI elements generates page objects and the associated implementation, which are then imported to Test Modeller.
Building flowcharts of the web application is then as simple as selecting from the scanned elements. Intelligent modeling identifies the equivalence classes associated with each element, rapidly building models to test positive and negative routes through web applications. Dynamic data definition auto-identifies synthetic test generation functions for each test step, ensuring that every tests comes equipped with valid and up-to-date test data.
Automated test generation creates optimized tests and data, compiling the smallest set of scripts and data needed to test every modelled scenario. As the system changes, testers only need to update the easy-to-maintain flowcharts, generating an up-to-date set of rigorous tests and data.
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