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Increasing automation of cyber-physical systems – as in self-driving cars or ships, automated assistance systems in medicine and similar – is a major contribution to overcome many of the major societal challenges caused by a changing world with an ageing population, living more and more in urban environments. Increasing automation will help to save natural resources, air quality and increases efficient transportation and health care solutions, new infrastructures, etc. improving the quality of life.

The ENABLE-S3 application domains ranged from mobility (automotive, aerospace, rail, maritime) to agriculture and health-care. They all need to introduce safety-critical automated systems to overcome these challenges.

Although several technology demonstrators for highly automated systems already exist, there is a severe lack of cost-effective, commonly accepted verification & validation (V&V) methods and the need for tools supporting these methods.

This lack of effectively applicable V&V methods creates a severe barrier for the market introduction of the systems. The major challenge is the interaction of the safety-critical systems with their environment.

The aim of the ENABLE-S3 project was to provide the required means for the V&V of automated cyber-physical systems (ACPS). In a nutshell, the solution pursued in ENABLE-S3 is the identification of relevant scenarios, the automatic derivation of manageable sets of test cases from scenarios as well as the application of automated virtual V&V approaches in combination with physical tests – in summary called scenario-based V&V of ACPS. In ENABLE-S3, industry and research partners from different application domains (automotive, aerospace, rail, maritime, health and farming) joined their forces to develop the required technology bricks for the virtual V&V of automated cyber-physical systems.

The results were summarised in “Testing & Validation of Highly Automated Systems - Summary of Results” available for download here.

Public deliverables and scientific publications are available for download on the project’s homepage.





Start date: 05/2016

Duration: 36 months

Budget (€): 16.2 Mio.

Number of countries: 16

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