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.
| Zugehörige Institution(en) am KIT | Institut für Programmstrukturen und Datenorganisation (IPD) |
| Publikationstyp | Hochschulschrift |
| Jahr | 2013 |
| Sprache | Englisch |
| Identifikator | ISBN: 978-3-86644-973-2 ISSN: 1867-0067 URN: urn:nbn:de:0072-323422 KITopen ID: 1000032342 |
| Verlag | KIT Scientific Publishing, Karlsruhe |
| Umfang | XXII, 555 S. |
| Serie | The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner ; 7 |
| Abschlussart | Dissertation |
| Fakultät | Fakultät für Informatik (INFORMATIK) |
| Institut | Institut für Programmstrukturen und Datenorganisation (IPD) |
| Prüfungsdaten | 14.07.2011 |
| Referent/Betreuer | Prof. R. Reussner |
| Schlagworte | Software Architecture Optimization Quality Attributes Performance Model-based Prediction |