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Conference object . 2009
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Multi-level fault modeling for transaction-level specifications

Authors: BELTRAME, GIOVANNI; BOLCHINI, CRISTIANA; MIELE, ANTONIO ROSARIO;

Multi-level fault modeling for transaction-level specifications

Abstract

Fault modeling is a fundamental element for several activities, ranging from off- and on-line testing, to fault tolerance and dependability-aware design. These activities are carried out during various design phases, dealing with specifications at different abstraction levels. Therefore, modeling faults across abstraction levels is of paramount importance to introduce dependability-related issues from the early phases of design. This paper analyzes how faults can be modeled at the different levels of abstraction with respect to Transaction Level Models, and how these models are related across levels. The work focuses on soft errors and aims at providing support to dependability analysis. A case study of a Transaction Level specification of a Network-on-Chip switch is used to evaluate the methodology and its applicability.

Countries
Italy, Canada
Keywords

TLM, Fault modeling

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Average
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