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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 . 2004 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2004
Data sources: DBLP
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Open source ecosystems

Authors: Dave Thomas; Andy Hunt;

Open source ecosystems

Abstract

The open source (OS) community can deliver high-quality, very popular software-according to the May 2004 Net-craft survey, the Apache Web server runs roughly 67 percent of the world's Web sites. This software is developed in a culturally and geographically diverse environment. The first myth to dispel is that OS development is a kind of communal (or communist, as some suggest) hippy-freak love fest. Developers work hard to win that reputation by delivering high-quality code. Once won, they work even harder to protect it. Compared to the OS model, it would be easier to argue that most corporate development has communist roots, with its strong belief in central planning and the interchangeability of production programming staff units. The second myth, often held by OS developers themselves, is that OS always produces great software. Often, these failures to thrive can be traced back to developers who don't understand the OS model. The article looks at the practices used by those who develop great OS software.

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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).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
13
Average
Top 10%
Top 10%
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