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TU Graz

TU Graz focuses the automation of diagnosis and testing based on models, and on providing means for risk assessment.

The Graz University of Technology (TU Graz) founded 1811 by Archduke Johann has always been passionate about shaping the future, attracting the brightest minds, creating outstanding conditions for high-quality research and teaching, as well as being a strong partner in national and international cooperation. The Institute for Software Technology has been contributing to this passion focusing not only on Software Engineering but also Artificial Intelligence and Theoretical Computer Science.

The Institute for Software Technology was founded in 2003, comprising today 4 full professors, 4 associate professors, 9 assistant professors, and more than 30 researchers that working on projects funded externally. Members of the institute publish more than 100 peer-reviewed papers on average every year. The institute is committed to highest quality research and teaching, and closely collaborates not only with academia but also with companies aiming at bringing foundational research into practice. Since its beginnings the institute has been carrying out more than 70 applied and foundational research projects. Currently the Institute for Software Technology is hosting the Christian Doppler Laboratory for Quality Assurance Methodologies of Autonomous Cyber-Physical Systems.
Regarding research activities, the Institute of Software Technology is concerned with the theoretical, practical and applied aspects of software engineering. Research lies in the field of intelligent systems, formal verification and systematic testing of software, artificial intelligence, requirements engineering, recommender systems, optimization of industrial problems, game theory, agile software development processes, computer science education, and autonomous robots.

  • Coming up with tools and techniques for model-based diagnosis to be used in an industrial context
  • Working on means for verification and testing of fault detection systems based on various techniques like combinatorial testing or model-based testing.
  • Providing a risk framework when introducing monitoring and diagnosis in actuators and propulsion systems

www.tugraz.at/institute/ist/home/

Austria

Germany

  • Infineon - Germany

    Infineon - Germany

    IFAG focuses on safety-, security- and privacy-critical components verified and validated before market release Infineon Technologies AG is a world… Read More
  • Volkswagen

    Volkswagen

    Volkswagen focuses on definition of practical-relevant requirements and development of a modular simulation environment to support the development of fault… Read More
  • SafeTRANS

    SafeTRANS

    SafeTRANS harmonizes and aligns project results between internal and external stakeholders, and identifies and supports standardization opportunities SafeTRANS is a… Read More
  • TU Dresden

    TU Dresden

    TU Dresden focuses on analysis and assessment of residual risk for highly automated vehicles TU Dresden, founded in 1828, is… Read More
  • 1

Austria

  • Infineon - Austria

    Infineon - Austria

    IFAT focuses on safety-, security- and privacy-critical components verified and validated before market release Infineon Technologies AG is a world… Read More
  • AVL List GmbH

    AVL List GmbH

    Clean. Affordable. Connected. Intelligent. We as AVL provide leading technologies and superior services to our customers to create a better… Read More
  • Virtual Vehicle

    Virtual Vehicle

    Virtual Vehicle Research GmbH will contribute to the definition of criteria for homologation and certification of perception systems (in relation… Read More
  • SBA Research

    SBA Research

    SBA Research is the largest research center in Austria which exclusively addresses information security. Its mission is to significantly contribute… Read More
  • Datasoft Embedded

    Datasoft Embedded

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  • TU Graz

    TU Graz

    TU Graz focuses the automation of diagnosis and testing based on models, and on providing means for risk assessment. The… Read More
  • 1

Netherlands

  • TU Delft

    TU Delft

    TUDELFT will develop a novel digital twinning methodology which will be demonstrated in collaboration with the industrial partners Delft University… Read More
  • NXP

    NXP

    NXP Semiconductors, provides High Performance Mixed Signal solutions that leverage its leading RF, Analogue, Power Management, Interface, Security and Digital… Read More
  • 1

France

  • Inria

    Inria

    Inria will enhance the use of formal models for automatic generation of high-coverage test suites and analysis of residual risk… Read More
  • 1

Norway

  • TracSense

    TracSense

    TracSense will provide the means and knowledge to obtain and interpret information on road surface conditions TracSense AS is a… Read More
  • Nxtech

    Nxtech

    NXTech AS is an engineering company started in 2008 by keypersons with senior experience within R&D and business development. NXTech… Read More
  • Sintef

    Sintef

    SINTEF AS is Scandinavia's largest independent research organisation and is a non-profit research foundation. SINTEF employs 2000 people most of… Read More
  • 1

Czech Republic

  • IMA

    IMA

    IMA focuses on analysis of related standards, collection of the test requirements, implementation of the test methodology and optimization of… Read More
  • Ceitec - Brno University of Technology

    Brno University of Technology

    BUT focuses on development of fail-operational powertrains and perception systems Read More
  • 1

Lithuania

  • TeraGlobus

    TeraGlobus

    TeraGlobus is the leader of project overall dissemination communication and exploitation, focusing all the efforts to create the project results'… Read More
  • 1

United States

  • University of Nevada, Reno

    University of Nevada, Reno

    Through Intelligent Mobility, researchers at the University of Nevada, Reno have created and deployed an instrumented, Living Lab testing environment… Read More
  • 1

Acknowledgement

ArchitectECA2030 has been accepted for funding within (ECSEL JU) in collaboration with the European Union’s H2020 Framework Programs under grant agreement No 877539.

The project will receive an ECSEL JU funding up to 4 M€ completed with national budgets from national funding authorities in Germany, Netherlands, Czech Republic, Austria and Norway.  

Project Facts

Short Name: ArchitectECA2030

Full Name: Trustable architectures with acceptable residual risk for the electric, connected and automated cars

Duration:  01/07/2020- 30/06/2023

Total Costs: ~ € 13,6 Mio.

Consortium: 20 partners from 8 countries

Coordinator: Infineon Technologies AG

Funding

 

Horizon 2020
Horizon 2020

 

    

National Funding

National Funding

 


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