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Showing 1 - 4 of 4 matches in All Departments
Aligning Enterprise, System, and Software Architectures covers both theoretical approaches and practical solutions in the processes for aligning enterprise, systems, and software architectures. This book aims to provide architects and researchers with a clear understanding of all three types of architectures.
System Quality and Software Architecture collects state-of-the-art knowledge on how to intertwine software quality requirements with software architecture and how quality attributes are exhibited by the architecture of the system. Contributions from leading researchers and industry evangelists detail the techniques required to achieve quality management in software architecting, and the best way to apply these techniques effectively in various application domains (especially in cloud, mobile and ultra-large-scale/internet-scale architecture) Taken together, these approaches show how to assess the value of total quality management in a software development process, with an emphasis on architecture. The book explains how to improve system quality with focus on attributes such as usability, maintainability, flexibility, reliability, reusability, agility, interoperability, performance, and more. It discusses the importance of clear requirements, describes patterns and tradeoffs that can influence quality, and metrics for quality assessment and overall system analysis. The last section of the book leverages practical experience and evidence to look ahead at the challenges faced by organizations in capturing and realizing quality requirements, and explores the basis of future work in this area.
"Economics-driven Software Architecture" presents a guide for engineers and architects who need to understand the economic impact of architecture design decisions: the long term and strategic viability, cost-effectiveness, and sustainability of applications and systems. Economics-driven software development can increase quality, productivity, and profitability, but comprehensive knowledge is needed to understand the architectural challenges involved in dealing with the development of large, architecturally challenging systems in an economic way. This book covers how to apply economic considerations during the
software architecting activities of a project. Architecture-centric
approaches to development and systematic evolution, where managing
complexity, cost reduction, risk mitigation, evolvability,
strategic planning and long-term value creation are among the major
drivers for adopting such approaches. It assists the objective
assessment of the lifetime costs and benefits of evolving systems,
and the identification of legacy situations, where architecture or
a component is indispensable but can no longer be evolved to meet
changing needs at economic cost. Such consideration will form the
scientific foundation for reasoning about the economics of
nonfunctional requirements in the context of architectures and
architecting.
Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors.
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