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A Merrill Lynch survey of chief information officers last year confirmed what the market has already been indicating: Software sales are being awarded to the largest companies.
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Although these metrics have been successfully employed to indicate software faults in general, there are no systematic guidelines on how to use these metrics to predict vulnerabilities in software.
A flow diagram illustrating the image processing procedure is given in Fig. 2, indicating the software tools used and data file type at each processing step.
The court gave examples indicating that software would be patentable if it represented physical objects undergoing physical transformation.
The field of software engineering has developed metrics and guidelines to assist in software evaluation but this example indicates that software evaluation must be extended beyond the formally defined interfaces of the software to its real-life operating context.
The findings also indicate that software renting is related to cost leadership and differentiation strategies, whereas software licensing is linked to a focus strategy.
In Table 2(g), we indicate which software libraries implement this feature.
All analysis procedure we adopted indicates that software size impacts agreement on god class detection.
A survey of computer professionals indicates that software flexibility is a positive influence.
Although Google Play's own site indicated the software had been downloaded many millions of times, one security researcher was cautious about the figures.
We list several types of data sets in Table 6 and indicate which software or algorithm that we feel is best-suited to each one.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com