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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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Koziolek, A. 2014. Automated Improvement of Software Architecture Models for Performance and Other Quality Attributes. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000032342
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Veröffentlicht am 7. Januar 2014
Englisch
581
| Paperback | 978-3-86644-973-2 |