Back to Research
Research Project
XIVT
Excellence in variant testing for configurable embedded systems
Excellence in variant testing for configurable embedded systems
XIVT developed methods and a tool chain for testing highly configurable, variant-rich embedded systems in the automotive, rail, telecommunication and industrial production domains. The approach combines machine-learning-based requirements analysis with model-based test generation. Using the XIVT results, the time needed to create and run test cases can be reduced by up to 95 %.
