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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Softwarearrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Software
Article . 1994 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 1994
Data sources: DBLP
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Statistical process control for software?

Authors: David N. Card;

Statistical process control for software?

Abstract

Most businesses outside the software-engineering community, like hardware manufacturers and service suppliers, have made statistical process control part of their development regimen. Does this mean we can ultimately expect the technique to penetrate the software world? Although a few pioneers (mostly practitioners) have attempted to use statistical process control in software-engineering applications, the opinion of many academics and practitioners is that it simply doesn't fit in the software world. These objections probably stem from an unfamiliarity with the technique and how to use it to best advantage. Many tend to dismiss it simply on the grounds that software can't be measured, but properly applied, statistical process control can flag potential process problems, even though it cannot supply absolute scores or goodness ratings. >

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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!
25
Average
Top 10%
Average
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