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Program Highlights and Articles from SEI SATURN 2013.

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Title: Program Highlights and Articles from SEI SATURN 2013.
Authors: Zimmermann, Olaf1, Koziolek, Heiko2
Source: IEEE Software. Mar2014, Vol. 31 Issue 2, p87-90. 4p. 1 Color Photograph.
Subjects: Software engineering conferences, Software Engineering Institute (Pittsburgh, Pa.), Software architecture, Nonrelational databases, Cloud computing, World Wide Web, Conjoint analysis, Agile software development
Abstract: The SATURN Conference is an international forum for software engineers and anyone else interested in software architecture. SATURN regularly partners with IEEE Software, a relationship that continues to offer strong content on both sides. [ABSTRACT FROM PUBLISHER]
Copyright of IEEE Software is the property of IEEE Computer Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Program Highlights and Articles from SEI SATURN 2013.
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Software%22">IEEE Software</searchLink>. Mar2014, Vol. 31 Issue 2, p87-90. 4p. 1 Color Photograph.
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  Data: The SATURN Conference is an international forum for software engineers and anyone else interested in software architecture. SATURN regularly partners with IEEE Software, a relationship that continues to offer strong content on both sides. [ABSTRACT FROM PUBLISHER]
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  Data: <i>Copyright of IEEE Software is the property of IEEE Computer Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1109/MS.2014.40
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