Tosca Automation Challenges and How to Overcome Them
Tosca by Tricentis is a popular test automation tool known for its model-based and scriptless testing capabilities. It enables enterprises to automate end-to-end testing across various platforms with minimal coding effort. While Tosca offers powerful features like TestCase Design, reusable modules, and seamless CI/CD integration, test automation with Tosca isn’t always without its hurdles. Like any robust tool, it presents its own set of challenges during implementation and usage.
In this blog, we’ll explore the most common Tosca automation challenges and provide practical solutions to overcome them.
1. Steep Learning Curve for Beginners
Challenge:
Though Tosca is marketed as a no-code or low-code tool, understanding its core concepts—like Modules, TestCase Design, Templates, and ExecutionLists—can be overwhelming for testers with no prior automation experience.
Solution:
Provide hands-on training sessions focused on Tosca basics and use-case demonstrations.
Start with small, manageable test scenarios before scaling up.
Leverage Tricentis Academy, which offers free and paid certification programs and tutorials.
2. Object Identification Issues
Challenge:
Tosca sometimes struggles to recognize dynamic or complex UI elements, especially in custom-built web applications, mobile apps, or non-standard controls.
Solution:
Use Tosca XScan to scan and customize properties used for identifying objects.
Create dynamic identifiers using regular expressions or buffer values.
Maintain a library of reusable modules with smart locators.
For web apps, consider using Tosca’s Automation Recording Assistant (ARA) to improve scanning accuracy.
3. Data Management Complexity
Challenge:
Managing large volumes of test data across multiple TestCases and environments can become a bottleneck, especially without proper planning.
Solution:
Use TestCase Design to separate test logic from test data.
Utilize Tosca Templates and Instances to drive tests with multiple datasets.
Connect Tosca with external data sources such as Excel, databases, or APIs using Tosca TDM (Test Data Management) features.
4. Long Test Execution Times
Challenge:
As test suites grow, execution time increases, impacting feedback cycles in CI/CD pipelines.
Solution:
Split large ExecutionLists into smaller, manageable sets based on functionality or priority.
Run tests in parallel using Distributed Execution (DEX) or Tosca’s integration with Test Automation Framework (TAF).
Disable unnecessary modules or validations when not required (e.g., screen validations).
5. Limited Version Control and Collaboration
Challenge:
Working collaboratively in large teams using Tosca can be challenging due to its limited native version control compared to tools like Git.
Solution:
Use Tosca's Test Repository (multi-user workspace) effectively, with role-based access and change tracking.
Adopt strict naming conventions and modularization to reduce conflicts.
Implement a review and approval workflow for test artifacts.
6. Integration with CI/CD Tools
Challenge:
Integrating Tosca with DevOps pipelines (e.g., Jenkins, Azure DevOps) requires configuration and can be difficult for testers unfamiliar with CI/CD tools.
Solution:
Use Tosca’s command-line execution (ToscaCI) to trigger test runs from external CI/CD systems.
Automate test result uploads and logging with APIs.
Collaborate with DevOps engineers to create reusable pipeline templates.
Conclusion
While Tosca offers a powerful platform for enterprise-level test automation, it comes with its own set of challenges—from object recognition to data management and CI/CD integration. The key to overcoming these hurdles lies in strategic planning, proper training, and leveraging Tosca’s advanced features effectively. By addressing these challenges head-on, teams can unlock the full potential of Tosca and deliver high-quality, automated testing at scale.
Learn TOSCA Training Course
Read More: Introduction to Tosca Query Language (TQL)
Read More: Best Practices for Tosca Test Case Design
Read More: Using Tosca XScan for Object Identification
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