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IVVES: Industrial-grade Verification and Validation of Evolving Systems

IVVES is a 3-year ITEA3 research project consisting of partners from Sweden, the Netherlands, Finland, Canada, and Spain. Targeting the challenges in verification and validation of AI and evolving systems, IVVES will systematically develop Artificial Intelligence approaches for robust and comprehensive, industrial-grade V&V of “embedded AI”, i.e. machine-learning for control of complex, mission-critical evolving systems and services covering the major industrial domains in Europe.

IVVES will develop the approaches in three directions to cover three main aspects in quality development for Evolving Systems (ES):

  • V&V approaches dedicated to ML-enabled applications in ES, including innovation in ML-based testing, transparent and robust assessment of ML models and trained networks, and metrics for quality and trustworthiness of data used for ML training
  • AI and data-driven V&V techniques dedicated to ES to cover areas that currently cannot be covered by state-of-the-art specification-based testing. This includes ML-based test case development and test automation, and continuous and runtime-enabled testing to detect quality degradation of ES during runtime.
  • Smart engineering approaches that use data analytics to establish efficient and high-quality engineering processes for ES to improve coverage of testing in simulated environments prior to initial end-user exposure.

All IVVES methods, techniques and tools will be driven and evaluated by the case studies representing relevant industrial domains: Automotive & Transportation, Banking & Finance, Healthcare, Telecom, Industrial Automation, Agriculture & Forestry, Cybersecurity. To conclude, IVVES will develop cross-domain solutions with broad applicability that will be the foundation for standardization and certification. Thus, IVVES will shape a breakthrough in innovation power for European industry in AI-based systems and applications.

Summary

Project name

IVVES

Status

Active

Region

Region Västmanland, Other than Sweden

RISE role in project

Work Packager Leader, Research Partner

Project start

Duration

3 years

Total budget

23185 k€

Partner

ABB Robotics, Bombardier TCMS, Ekkono Solutions, Prover Technology

Funders

Vinnova - Eureka program

Project website

Project members

Mehrdad Saadatmand

Contact person

Mehrdad Saadatmand

Senior Researcher

+46 72 569 59 56

Read more about Mehrdad

Contact Mehrdad
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