The research project SISTER aims to improve the safety and autonomy of light rail trains by developing and integrating novel technologies for remote sensing and object detection, safe positioning, and broadband radio communication. To prove safety of the SISTER solution, CENELEC-compliant Verification and Validation (V&V) is obviously required. In the SISTER project, we tackled the challenge of defining and applying a compact V&V methodology, able to provide convincing safety evidence on the solution, but still within the reduced resources available for the project. A relevant characteristic of the methodology is to produce V&V results that can be reused for future industrial exploitation of SISTER outcomes after project termination. This paper presents the V&V methodology that is currently applied in parallel to the progress of project activities, with preliminary results from its application.

The SISTER Approach for Verification and Validation: A Lightweight Process for Reusable Results

Basile Davide;Fantechi Alessandro;
2019

Abstract

The research project SISTER aims to improve the safety and autonomy of light rail trains by developing and integrating novel technologies for remote sensing and object detection, safe positioning, and broadband radio communication. To prove safety of the SISTER solution, CENELEC-compliant Verification and Validation (V&V) is obviously required. In the SISTER project, we tackled the challenge of defining and applying a compact V&V methodology, able to provide convincing safety evidence on the solution, but still within the reduced resources available for the project. A relevant characteristic of the methodology is to produce V&V results that can be reused for future industrial exploitation of SISTER outcomes after project termination. This paper presents the V&V methodology that is currently applied in parallel to the progress of project activities, with preliminary results from its application.
2019
9783030262495
Design
Hazard analysis
Model checking
Model-Driven Engineering
Railway standards
Stochastic modeling
Verification and Validation
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/362305
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact