WS04 - Intelligent Testing of Automated and Autonomous Systems

Workshop Organized by

Christof Ebert, Vector Consulting Services GmbH, Germany and Andreas Löcklin, University of Stuttgart, IAS, Germany and Daniel Siegrist, SEW-Eurodrive GmbH & Co KG, Germany

Aims and Objectives

The challenges of overwhelming test effort need to be addressed through the use of new technologies and tools. Digital Twins and the accompanying focus on simulation change how systems and products are engineered and operated. The usage of automated, AI-based tools on the other hand improve complexity management. AI helps to analyze test cases to improve the selection of adequate scenarios. Furthermore, AI is needed to efficiently automate testing It enables automatic generation of appropriate test cases for verification as well as the reuse of test harnesses in case of regression testing.

Topics under this workshop include (but not limited to)
  • The role of semantic modelling for testing
  • Benefits of Digital Twins for testing
  • Automatic scenario-driven simulation
  • Reusable, simulator-independent asset, scene and scenario modelling
  • Assisted transparent and automated corner case identification
  • Data-driven analysis of test results
  • Support for efficient regression testing
  • Testing of frequently reconfigured manufacturing systems
  • AI-driven test automation, focus on test case generation and test execution

Download Call for Papers

Click here to download the workshop cfp.

Contact for more details

If you would like to know more about the workshop, please contact, Christof Ebert (christof.ebert@vector.com); Andreas Löcklin (andreas.loecklin@ias.uni-stuttgart.de); Daniel Siegrist (daniel.siegrist@sew-eurodrive.de);

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