Tricentis Tosca Features

Deploys a broad solution suitable for many types of formats.

Accurately captures system behavior for relevant simulation.

Minimizes the occurence of false positives when testing.

Simulates robust and realistic build environments.

Automatically detects changes in services and suggests remediation and test actions.

Empowers multiple QA testers, developers, and other team members to collaborate on testing.

Allows users to easily set and configure complex test scenarios.

Provides developers with actionable insight after running tests.

Maintains a thorough history of test logs for future reference and analysis.

Grants developers granular control to define tests and test parameters.

Allows developers to automate a wide variety of test types according to need.

Automatically assigns relevant followup tasks and notifies appropriate team members of status after testing.

Runs tests automatically and reliably according to the parameters and frequency defined.

Tests completely and thoroughly to minimize developer workload.

Capability to perform complex tasks without constant human input

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Effectively creates tests by recording or analyzing user interface interactions.

Accurately translates plain-language descriptions into functional tests.

Provides AI-driven recommendations for improving test coverage.

Tests effectively self-heal to adapt to changes in the application.

Identifies application elements even after their properties change.

Reduces the time and effort required to maintain existing test suites via AI.

Provides insightful dashboards and reports for understanding test results and overall application quality.

AI accurately identifies unintended visual changes or bugs in the user interface.

Analysis clearly pinpoints the root cause of test failures.