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...
Other Authors: | |
---|---|
Format: | eBook |
Language: | Inglés |
Published: |
KIT Scientific Publishing
2013
|
Series: | The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner
|
Subjects: | |
See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009427390606719 |
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. |
---|---|
Physical Description: | 1 electronic resource (XXII, 555 p. p.) |
Access: | Open access |