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

Citation

Koziolek, Anne, “Automated Improvement of Software Architecture Models for Performance and Other Quality Attributes,” Open Educational Resource (OER) - USK Library, accessed February 27, 2024, http://uilis.usk.ac.id/oer/items/show/3621.

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