Publication Details
Cross-domain Modelling of Verification and Validation Workflows in the Large Scale European Research Project VALU3S Invited Paper
AGIRRE, J.
FÜRCHO, D.
Herzner Wolfgang
HRUŠKA, B.
KARACA, M.
PEREIRA, D.
PROENÇA, J.
SCHLICK, R.
SICHER, R.
Smrčka Aleš, Ing., Ph.D. (DITS)
YAYAN, U.
Sangchoolie Behrooz
Automated systems, Cybersecurity, Privacy, Safety, V&V tool chains, V&V
workflows, Verification and validation
The complexity of systems continues to increase rapidly, especially due to the
multi-level integration of subsystems from different domains into cyber-physical
systems. This results in special challenges for the efficient verification and
validation (V&V) of these systems with regard to their requirements and
properties. In order to tackle the new challenges and improve the quality
assurance processes, the V&V workflows have to be documented and analyzed. In
this paper, a novel approach for the workflow modelling of V&V activities is
presented. The generic approach is tailorable to different industrial domains and
their specific constraints, V&V methods, and toolchains. The outcomes comprise
a dedicated modelling notation (VVML) and tool-support using the modelling
framework Enterprise Architect for the efficient documentation and implementation
of workflows in the use cases. The solution enables the design of re-usable
workflow assets such as V&V activities and artifacts that are exchanged between
workflows. This work is part of the large scale European research project VALU3S
that deals with the improvement and evaluation of V&V processes in different
technical domains, focusing on safety, cybersecurity, and privacy properties.
@inproceedings{BUT182325,
author="BAUER, T. and AGIRRE, J. and FÜRCHO, D. and HERZNER, W. and HRUŠKA, B. and KARACA, M. and PEREIRA, D. and PROENÇA, J. and SCHLICK, R. and SICHER, R. and SMRČKA, A. and YAYAN, U. and SANGCHOOLIE, B.",
title="Cross-domain Modelling of Verification and Validation Workflows in the Large Scale European Research Project VALU3S Invited Paper",
booktitle="Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
year="2022",
series="Lecture Notes in Computer Science",
pages="368--382",
address="Cham",
doi="10.1007/978-3-031-04580-6\{_}25",
url="https://link.springer.com/chapter/10.1007/978-3-031-04580-6_25"
}