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Book ChapterDOI

Integrating Quality-Attribute Reasoning Frameworks in the ArchE Design Assistant

TLDR
This paper presents the research work on a design assistant called ArchE that provides an infrastructure for third-party researchers to integrate their own quality-attribute models, and aims at facilitating the experimentation and sharing of quality- attribute knowledge in both research and educational contexts.
Abstract
Techniques and tools for specific quality-attribute issues are becoming a mainstream in architecture design. This approach is practical for evaluating the architecture in early stages but also for planning improvements for it. Thus, we believe that one challenge is the integration of the individual capabilities of quality-attribute techniques. This paper presents our research work on a design assistant called ArchEthat, based on reasoning framework technology, provides an infrastructure for third-party researchers to integrate their own quality-attribute models. This infrastructure aims at facilitating the experimentation and sharing of quality-attribute knowledge in both research and educational contexts.

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Proceedings ArticleDOI

ArcheOpterix: An extendable tool for architecture optimization of AADL models

TL;DR: An extendable Eclipse-based tool is presented, called ArcheOpterix, which provides a framework to implement evaluation techniques and optimization heuristics for AADL specifications, and experiments with a set of initial deployment architectures provide evidence that the tool can successfully find architecture specifications with better quality.
Proceedings ArticleDOI

PerOpteryx: automated application of tactics in multi-objective software architecture optimization

TL;DR: This work proposes an automated approach guided by architectural tactics to search the design space for good solutions and applies multi-objective evolutionary optimization to software architectures modelled with the Palladio Component Model.
Dissertation

Architectural Knowledge Management: Supporting Architects and Auditors

TL;DR: To illustrate the effect of LSA on the document vector-space model, LSA was applied to the 8 documents from the audit that were still available, and both auditors seem to agree that there are two large document clusters.
DissertationDOI

Automated Improvement of Software Architecture Models for Performance and Other Quality Attributes

Anne Koziolek
TL;DR: This thesis proposes a method and tool to automatically improve component-based software architecture (CBA) models based on quantitative quality prediction techniques to support systematic, goal-oriented software design.
Journal ArticleDOI

Reliability-driven deployment optimization for embedded systems

TL;DR: This paper targets multi-criteria optimization and provides the architect with near-optimal deployment alternatives with respect to service reliabilities and designs a method to quantify the quality of individual deployment alternatives.
References
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Book

Software Architecture in Practice

TL;DR: This second edition of this book reflects the new developments in the field and new understanding of the important underpinnings of software architecture with new case studies and the new understanding both through new chapters and through additions to and elaboration of the existing chapters.
Book

Pattern-oriented Software Architecture: A System of Patterns

TL;DR: Patterns.
Book

Pattern-Oriented Software Architecture

TL;DR: This study uses design patterns to present platform independent architecture to help extend the usability of any software system and provide structural notations for anySoftware system.

Pattern-Oriented Software Architecture: A System of Patterns

TL;DR: In this paper, the authors discuss their approach to learning classifications from data using a set of rules from a dataset, and present two models of the ARCHITECTURE, namely LINNEO and GAR.
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