Automated Improvement of Software Architecture Models for Performance and Other Quality Attributes
Dublin Core
Title
Automated Improvement of Software Architecture Models for Performance and Other Quality Attributes
Subject
Computer Science
Description
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.
Creator
Koziolek, Anne
Source
https://www.ksp.kit.edu/9783866449732
Publisher
KIT Scientific Publishing
Date
2013
Contributor
Baihaqi
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Collection
Citation
Koziolek, Anne, “Automated Improvement of Software Architecture Models for Performance and Other Quality Attributes,” Open Educational Resource (OER) - USK Library, accessed September 12, 2024, http://uilis.usk.ac.id/oer/items/show/3621.