Tricentis Tosca

Build codeless, resilient automated tests

Model-based test automation is a codeless approach that literally anyone can learn and use. It enables high reusability, resilience, and scalability of test assets across your entire digital landscape — driving 90%+ automation rates and saving you invaluable time and effort.

Don’t let legacy testing tools slow you down

Traditional testing tools are scripted, require technical resources to build and maintain, and are brittle. All this contributes to low automation rates (<20%), which keeps software testing a bottleneck.

A revolutionary way to create and maintain tests

Instead of coding a test automation framework, you rapidly scan the application’s UI or APIs to create a business-readable automation model.

Tosca models are like Lego blocks that you can combine and reuse across your tests.

If your application changes (e.g., a field is added or removed), you simply update the module once, and that change is automatically synchronized across all your impacted test cases, saving you hours of manual effort.

Benefits

Easy enough for anyone to use

Non-programmers can rapidly create and manage sophisticated end-to-end tests, without waiting on technical resources.

Resilient and maintenance-free

Keep up with frequently changing applications through an approach that automatically updates impacted test cases and auto-fixes false positives.

Faster time to value

Enterprises go from releasing software twice per year to once every two weeks with a codeless approach that delivers 90%+ test automation rates.

4X faster than coding

Instead of coding a test automation framework, you rapidly scan the application’s UI or APIs to create a business-readable automation model. Business users and manual testers become productive in no time – allowing them to create faster feedback loops, and deliver faster time to value.

Features

What makes model-based testing so unique is that it decouples the technical layer of an application (i.e., test data, test sequence, and logic) from the automation model. This makes test maintenance much faster and less error prone.

Maximize reuse

Build a module once by scanning any technology, and reuse it across multiple test cases to mimic end-to-end user transactions.

Scans to create modules but then reuse repeatedly for future tests

Dynamic object identification

Modify and adapt identifiers so each object is consistently and accurately identified during test execution — ensuring high resilience and reliability.