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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| Summary: | 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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| ISBN: | 1000032342 |
| Access: | Open access |
| Hierarchical level: | Monograph |