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 design. This thesis proposes a method and tool to automatically improve component-based software architecture (CBA) models based on such quantitative quality prediction techniques.

• | Author: Anne Koziolek
• | Publisher: Karlsruher Institut Fur Technologie
• | Publication Date: May 13, 2014
• | Number of Pages: 582 pages
• | Binding: Paperback or Softback
• | ISBN-10: 3866449739
• | ISBN-13: 9783866449732