AutomationDesk

Graphical and Python-Based Test Development AutomationDesk’s Sequence Builder provides a graphical, UML-compliant environment for developing automation sequences. The Sequence Builder and its overview panel help you keep track of even very large sequence structures. AutomationDesk combines and integrates graphical and Python-based test development. Typically, graphical development is used to describe the control flow and to access hardware or further software. Python scripts are used for implementing algorithms and for user-specific extensions. Sequence Builder

Managing Project Data AutomationDesk’s Project Manager provides a way of organizing the sequences, data, and results of test projects in a structured representation. Tests are reproducible, for example, they can be executed repeatedly to performregression testing. The criteria for structuring tests can be different functions to be tested, different ECUs in a network, different development stages, and different users involved in a project. Project Manager

 

 

Python for Real-Time Testing

 

• Synchronous execution of test scripts and simulation model
• Concurrent execution of several independent test scripts
• Python interpreter integrated into application via Real-Time Workshop build option
• Real-time-capable Python interpreter for the DS1005 PPC Board and the DS1006 Processor Board
• Dynamic test loading during model and test execution
• Library of read and write functions for variables in the simulation model

Automated Test Execution

Debugging Test Sequences

If an error occurs during test execution, AutomationDesk’s debugger makes it easy to find the source. By inserting breakpoints into your test sequence, you make the test execution automatically stop at these points during debug mode. This method lets you go through the test case step-by-step. Complex hierarchical test steps can either be analyzed in depth or executed as a whole. The current variable values are always visible and can be changed during the debugging process so that the subsequent test can be executed with variables that are correct. Step-by-step execution supports fast, efficient error-finding because you can investigate the specific potential error sources.


Test Debugging and Data Comparison