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On multiple fault coverage and aliasing probability measures

Authors: Janusz Rajski; A. Ivanov; V.K. Agarwal; H. Cox;

On multiple fault coverage and aliasing probability measures

Abstract

A comparative study is presented of different methods of calculating multiple fault coverage and aliasing probability measures. The objectives are to describe the ways that these ratios are defined to give them a physical interpretation, and to separate the discussion of how to define the measure from how the measure might be actually obtained or calculated. The interpretation, accuracy, and applicability of the measures are discussed. >

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Found an issue? Give us feedback
citations
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!
10
Average
Top 10%
Top 10%
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