UVM-SystemC-AMS Framework for System-Level Verification and Validation of Automotive Use Cases - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Design & Test Année : 2015

UVM-SystemC-AMS Framework for System-Level Verification and Validation of Automotive Use Cases

Martin Barnasconi
  • Fonction : Auteur
Manfred Dietrich
  • Fonction : Auteur
Karsten Einwich
  • Fonction : Auteur
Thilo Vörtler
  • Fonction : Auteur
Jean-Paul Chaput
  • Fonction : Auteur
  • PersonId : 970066
Zhi Wang
  • Fonction : Auteur
  • PersonId : 970067
Philippe Cuenot
  • Fonction : Auteur
  • PersonId : 973369
Ingmar Neumann
  • Fonction : Auteur
Thang Nguyen
  • Fonction : Auteur
Ronan Lucas
  • Fonction : Auteur
Emmanuel Vaumorin
  • Fonction : Auteur

Résumé

Current trend is to increase the overall use of electronic systems in daily life. Exemplarily, the complexity of automotive Electronic Control Unit (ECU) systems is rising due to the number of components involved and the tighter interactions between these heterogeneous components (analog, digital hardware or software), resulting in a more and more challenging verification. In this paper, we show that the Universal Verification Methodology (UVM), initially developed for digital systems, can successfully be extended to analog and mixed signal systems. We introduce the UVM-SystemC-AMS framework for functional verification based on SystemC and its AMS extension SystemC AMS. Using two automotive case studies we demonstrate the flexibility of our approach both for simulation based verification and lab based validation using a Hardware In the Loop (HIL) system.
Fichier non déposé

Dates et versions

hal-01197195 , version 1 (11-09-2015)

Identifiants

Citer

Martin Barnasconi, Manfred Dietrich, Karsten Einwich, Thilo Vörtler, Jean-Paul Chaput, et al.. UVM-SystemC-AMS Framework for System-Level Verification and Validation of Automotive Use Cases. IEEE Design & Test, 2015, pp.76-86. ⟨10.1109/MDAT.2015.2427260⟩. ⟨hal-01197195⟩
372 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More