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Enabling the usage of UML in the verification of railway systems: The DAM-rail approach

Articolo
Data di Pubblicazione:
2013
Citazione:
Enabling the usage of UML in the verification of railway systems: The DAM-rail approach / Bernardi, S., Flammini, F., Marrone, S., Mazzocca, N., Merseguer, J., Nardone, R., Vittorini, V.. - In: RELIABILITY ENGINEERING & SYSTEM SAFETY. - ISSN 0951-8320. - 120:(2013), pp. 112-126. [10.1016/j.ress.2013.06.032]
Abstract:
The need for integration of model-based verification into industrial processes has produced several attempts to define Model-Driven solutions implementing a unifying approach to system development. A recent trend is to implement tool chains supporting the developer both in the design phase and V&V activities. In this Model-Driven context, specific domains require proper modelling approaches, especially for what concerns RAM (Reliability, Availability, Maintainability) analysis and fulfillment of international standards. This paper specifically addresses the definition of a Model-Driven approach for the evaluation of RAM attributes in railway applications to automatically generate formal models. For this aim we extend the MARTE-DAM UML profile with concepts related to maintenance aspects and service degradation, and show that the MARTE-DAM framework can be successfully specialized for the railway domain. Model transformations are then defined to generate Repairable Fault Tree and Bayesian Network models from MARTE-DAM specifications. The whole process is applied to the railway domain in two different availability studies. (C) 2013 Elsevier Ltd. All rights reserved.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Railways; Verification; UML profile; Dependability; Availability models; Model Driven Engineering
Elenco autori:
Bernardi, S.; Flammini, F.; Marrone, S.; Mazzocca, N.; Merseguer, J.; Nardone, R.; Vittorini, V.
Link alla scheda completa:
https://iris.unirc.it/handle/20.500.12318/47288
Pubblicato in:
RELIABILITY ENGINEERING & SYSTEM SAFETY
Journal
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http://www.scopus.com/inward/record.url?eid=2-s2.0-84885573893∂nerID=40&md5=e259ff1490df17ba8914c340f7eb2c18
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