Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

¿Te ayudamos?

Ejemplos de búsqueda

Vídeos Explicativos

U-Test

Financiado

Cerrado

Testing Cyber Physical Systems under Uncertainty Systematic Extensible and Co...

Testing Cyber Physical Systems under Uncertainty Systematic Extensible and Configurable Model based and Search based Testing Methodologies Uncertainty is intrinsic in Cyber-Physical Systems (CPSs) due to novel interactions of embedded systems, networking equipment, cloud infrastructures, and humans. CPSs have become predominant in critical domains and necessitate the... ver más

31/12/2017

Líder desconocido

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto Líder desconocido

Fecha límite participación Sin fecha límite de participación.

Ver 9 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2017-12-31

ICT-01-2014: Smart Cyber-Physical Systems Scope:Specific Challenge: Cyber-Physical Systems (CPS) refer to next generation embedded ICT systems...

I+D

Cerrada hace 11 años

0% 100%

Características del participante

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

9 Participantes

ULMA MANUTENCION S. COOP.

FUTURE POSITION X IDEELL FOR...

NORDIC MEDTEST AB

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Duración del proyecto: 36 meses Fecha Inicio: 2014-12-01
Fecha Fin: 2017-12-31

Líder del proyecto Líder desconocido

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Uncertainty is intrinsic in Cyber-Physical Systems (CPSs) due to novel interactions of embedded systems, networking equipment, cloud infrastructures, and humans. CPSs have become predominant in critical domains and necessitate the implementation of proper mechanisms to deal with uncertainty during their operation at an acceptable cost avoiding unwarranted threats to its users and environment. One way to guarantee the correct implementation of such mechanisms is via automated and systematic Model-Based Testing (MBT)—a way of improving dependability. U-Test will improve the dependability of CPSs by defining extensible MBT frameworks supporting holistic MBT of CPSs under uncertainty in a cost-effective manner. More specifically our objectives are: 1) Provide a comprehensive and extensible taxonomy of uncertainties classifying uncertainties, their properties, and relationships; 2) An Uncertainty Modelling Framework (UMF) to support modelling uncertainties at various levels relying on exiting modelling/testing standards; 3) Defining an intelligent way to evolve uncertainty models developed using UMF towards realistic unknown uncertainty models using search algorithms (e.g., Genetic Algorithms); 4) Generating cost-effective test cases from uncertainty and evolved models. U-Test consortium encompasses domain experts from various facets of CPSs, i.e., software, embedded systems, distributed systems, and cloud infrastructure. We have chosen two case studies from diverse domains including Handling Systems and Geo Sports to assess the cost-effectiveness of U-Test. The solutions will be integrated into two key commercial tools available in the market: ModelBus/Fokus!MBT and CertifyIt. Moreover, the solutions will be deployed into the actual practise in addition to standardization to achieve a wider impact within Logistics, Geo Sports, and Healthcare domains and further facilitate interoperability among tools and technologies.

Conecta tu I+D

Entra hoy

Forgot your password?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores