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An architecture-based comparison of verification and statistical reliability assessment methods for embedded software systems

Authors: Farokh B. Bastani; Sung Kim; I-Ling Yen; Ing-Ray Chen;

An architecture-based comparison of verification and statistical reliability assessment methods for embedded software systems

Abstract

Embedded computer systems are used to automate critical real-time applications, including process control systems, manufacturing systems, transportation systems, etc. In order to certify these critical systems, it is necessary to be able to rigorously demonstrate that high quality has been achieved. One approach is to decompose the software into more manageable aspects that can be independently certified. The software architecture is then used to certify the overall system. We compare the efficacy of formal verification and statistical reliability assessment methods for certifying the system based on the certification of the independent aspects and the system architecture.

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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!
0
Average
Average
Average
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