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The design of modern embedded systems becomes more complex every day, due to the increasing amount of components and distinct functionalities incorporated into a single system. To address this situation, projects' abstraction level is continuously raised. In addition, techniques to speed up the code production process have emerged. These new trends lead to(More)
— This paper deals with the use of Bayesian Networks to compute system reliability of complex systems under epistemic uncertainty. In the context of incompleteness of reliability data and inconsistencies between the reliability model and the system modeled, the evidence theory is more suitable to manage this epistemic uncertainty. We propose to adapt the(More)
Proactivity in maintenance, which is mainly materialized by degradation-based anticipation, becomes essential to avoid failure situation with negative impact on product and/or system conditions. It leads to make emerging the E-maintenance philosophy to move from " fail and fix " maintenance practices to " predict and prevent " strategies. Within these new(More)
Maintenance plays now a critical role in manufacturing for achieving important cost savings and competitive advantage while preserving product conditions. It suggests moving from conventional maintenance practices to predictive strategy. Indeed the maintenance action has to be done at the right time based on the system performance and component Remaining(More)
Embedded systems' complexity and amount of distinct functionalities have increased over the last years. To cope with such issues, the projects' abstraction level is being continuously raised, and, in addition, new design techniques have also been used to shorten design time. In this context, Model-Driven Engineering approaches that use UML models are(More)