XIVT

17039 XIVT (Excellence In Variant Testing)

Within the XIVT (pronounced “shift”) project, a method and toolchain will be defined for testing highly configurable, variant-rich embedded systems in the automotive, rail, industrial production and telecommunication domains. This enables a highly effective, cost-efficient quality assurance, allowing the shift to autonomous, flexible and adaptive applications in these domains. Base of the method is a knowledge-based analysis of requirements formulated in natural language, and a model-based test generation on the product-line level. The XIVT project will result in modules and open-source packets for the enhancement of existing domain-specific testing tools, a reference implementation of the resulting method and toolchain, and an ecosystem of services around the proposed methodology.

The business relevance is in the application domains. For automotive, OEMs expect XIVT will decrease the validation costs of new products and potential variants for automotive systems in 3 years by at least 5%, with global connected car revenue expected to reach $12-$18 trillion by 2021. Vehicle recall costs due to software bugs and flaws costing OEMs billions of dollars annually, will be significantly reduced. Public safety and quality of life will be improved, and global public policy initiatives to provide connected and autonomous vehicles will proceed safely. For the rail domain, European standards require that generic software modules must be tested with all deployable configuration data files. This is a huge cost factor and limits innovation speed. XIVT will enable a solution thereby providing significant value. In industrial production, currently 5-10% of testing of programmable logic controllers (PLC) is manual, resulting in expensive disruption of production and important tests can only be performed and evaluated by experts slowing the process. While industry is moving to simulation to test PLC’s, integration with XIVT will produce substantial benefits. It is expected that XIVT methods will result in higher test coverage, more flexible processes of higher quality and better products.

Funding: ITEA 3 CALL 4
Project Calendar: 01.09.2018 – 31.08.2021
Project Total Budget: 13.734.96 k€
ARD Budget: 280.00 k€

Countries & Partners:

  • TURKEY(ARD Informatics Technologies, Arçelik, TURKCELL, UNIT Information Technologies R&D Ltd.)
  • SWEDEN (ABB AB, Addiva AB, Bombardier, Mälardalen University, Percepio AB, RISE – Research institute of Sweden SICS)
  • GERMANY (EKS InTec GmbH, Expleo Germany GmbH, FFT Produktionssysteme GmbH + Co.KG, Fraunhofer FOKUS, Institut for Automation und Kommunication (IFAK), Model Engineering Solutions GmbH)
  • PORTUGAL (Faculty of Sciences of University of Lisbon, WinTrust)