Automated Improvement of Software Architecture Models for Performance and Other Quality Attributes
Abstract
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.
Keywords
Software ArchitectureOptimizationQuality AttributesPerformanceModel-based PredictionISBN
9783866449732Publisher
KIT Scientific PublishingPublisher website
http://www.ksp.kit.edu/Publication date and place
2013Series
The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner,Classification
Computer science