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Accelerated stress testing to detect probabilistic software failures

Authors: L.J. Gullo;

Accelerated stress testing to detect probabilistic software failures

Abstract

This paper describes the advantages of accelerated stress testing and addresses the value of accelerated stressing to find probabilistic software failure modes. The value has been widely reported in discovery of traditional hardware-related failure modes, but has not been widely accepted as valuable in finding software errors. This paper provides a business case study in accelerated stressing to find both the traditional hardware failure mechanisms and the elusive probabilistic software failures. This case is presented with a cost benefit analysis including warranty cost avoidance. This business case quantifies the value of accelerated stress testing by demonstrating that in the development phase, accelerated stress testing finds software errors that would have been found later in the product's life cycle after the product is launched and manufactured in high volume, which would have made a detrimental impact to the company's bottom-line.

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    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
4
Average
Average
Average
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