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

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 desig...

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Bibliographic Details
Main Author: Koziolek, Anne (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2013
Series:The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Automated Improvement of Software Architecture Models for Performance and Other Quality Attributes 
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520 |a 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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546 |a English 
653 |a Software ArchitectureOptimizationQuality AttributesPerformanceModel-based Prediction 
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