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Automated Improvement of Software Architecture Models for Performance and Other Quality Attributes

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Quality attributes, such as performance or reliability, are crucial for the success of a software system and largely influenced by the software architecture. Their quantitative prediction supports systematic, goal-oriented software design and forms a base of an engineering approach to software design. This thesis proposes a method and tool to automatically improve component-based software architecture (CBA) models based on such quantitative quality prediction techniques

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Series Title

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Call Number

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Publisher

: KIT Scientific Publishing., 2013

Collation

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Language

English

ISBN/ISSN

9783866449732

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

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Specific Detail Info

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Statement of Responsibility

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Other Information

Cataloger

Hasan

Source

https://directory.doabooks.org/handle/20.500.12854/41639

Validator

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Digital Object Identifier (DOI)

10.5445/KSP/1000032342

Journal Volume

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Journal Issue

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