MobyQA

Tricentis Tosca: Enterprise Model-Based Architecture

Tricentis Tosca’s primary architectural differentiator is its Model-Based Test Automation (MBTA). Unlike script-based frameworks, Tosca abstracts application logic into reusable technical modules stored within a centralized Model Repository (typically MSSQL, Oracle, or DB2-based) or the Tosca Cloud Architecture 📑. This abstraction allows for the orchestration of complex end-to-end scenarios spanning SAP S/4HANA, Oracle EBS, and modern web protocols without manual code intervention.

Operational Scenario: ERP Maintenance Flow

• Input: Metadata import from SAP Solution Manager or live application scanning via XScan 📑.
• Process: Autonomous generation of Test Cases based on a Risk-Weighted Model. The Vision AI engine identifies UI elements via neural-spatial mapping rather than brittle DOM properties 🧠.
• Output: Execution-ready test artifacts distributed across the Tosca Distributed Execution (DEX) infrastructure 📑.

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Operational Scenario: API-to-UI Integrity Validation

• Input: Swagger/OpenAPI definitions and UI-state snapshots 📑.
• Process: Simultaneous validation of headless API responses against visual UI states using unified logic modules 🧠.
• Output: Unified health report with root-cause analysis (RCA) generated by the AI Maintenance Agent ⌛.

AI Maintenance and Self-Healing

The 2026 feature set includes an AI-driven Maintenance Agent designed to mitigate script rot. When a UI change is detected, the agent attempts to re-map technical locators in real-time ⌛. While marketing materials suggest a 90% reduction in maintenance, independent verification shows that complex, non-standard custom controls still require manual module adjustment 🌑.

Evaluation Guidance

Technical evaluators should audit the integration latency between the Vision AI engine and the local agent execution environment. It is critical to verify the data isolation protocols of the Tosca Cloud repository when handling PII during automated test data generation. Organizations should stress-test the DEX (Distributed Execution) scalability under peak CI/CD loads 🌑.