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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| Superior document: | The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner |
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| Year of Publication: | 2013 |
| Language: | English |
| Series: | The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner
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| Physical Description: | 1 electronic resource (XXII, 555 p. p.) |
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| 100 | 1 | |a Koziolek, Anne |4 auth | |
| 245 | 1 | 0 | |a Automated Improvement of Software Architecture Models for Performance and Other Quality Attributes |
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| 300 | |a 1 electronic resource (XXII, 555 p. p.) | ||
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| 490 | 1 | |a The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner | |
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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. | ||
| 546 | |a English | ||
| 653 | |a Software ArchitectureOptimizationQuality AttributesPerformanceModel-based Prediction | ||
| 776 | |z 3-86644-973-9 | ||
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