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Architecture-based Evolution of Dependable Software-intensive Systems

Architecture-based Evolution of Dependable Software-intensive Systems
Author: Heinrich, Robert
Publisher: KIT Scientific Publishing
Total Pages: 154
Release: 2023-06-05
Genre:
ISBN: 3731512947

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This cumulative habilitation thesis, proposes concepts for (i) modelling and analysing dependability based on architectural models of software-intensive systems early in development, (ii) decomposition and composition of modelling languages and analysis techniques to enable more flexibility in evolution, and (iii) bridging the divergent levels of abstraction between data of the operation phase, architectural models and source code of the development phase.


Future-Proof Software-Systems

Future-Proof Software-Systems
Author: Frank J. Furrer
Publisher: Springer
Total Pages: 376
Release: 2019-09-25
Genre: Computers
ISBN: 3658199385

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This book focuses on software architecture and the value of architecture in the development of long-lived, mission-critical, trustworthy software-systems. The author introduces and demonstrates the powerful strategy of “Managed Evolution,” along with the engineering best practice known as “Principle-based Architecting.” The book examines in detail architecture principles for e.g., Business Value, Changeability, Resilience, and Dependability. The author argues that the software development community has a strong responsibility to produce and operate useful, dependable, and trustworthy software. Software should at the same time provide business value and guarantee many quality-of-service properties, including security, safety, performance, and integrity. As Dr. Furrer states, “Producing dependable software is a balancing act between investing in the implementation of business functionality and investing in the quality-of-service properties of the software-systems.” The book presents extensive coverage of such concepts as: Principle-Based Architecting Managed Evolution Strategy The Future Principles for Business Value Legacy Software Modernization/Migration Architecture Principles for Changeability Architecture Principles for Resilience Architecture Principles for Dependability The text is supplemented with numerous figures, tables, examples and illustrative quotations. Future-Proof Software-Systems provides a set of good engineering practices, devised for integration into most software development processes dedicated to the creation of software-systems that incorporate Managed Evolution.


Software Architecture for Big Data and the Cloud

Software Architecture for Big Data and the Cloud
Author: Ivan Mistrik
Publisher: Morgan Kaufmann
Total Pages: 472
Release: 2017-06-12
Genre: Computers
ISBN: 0128093382

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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. Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques Presents case studies involving enterprise, business, and government service deployment of big data applications Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data


Evaluating Architectural Safeguards for Uncertain AI Black-Box Components

Evaluating Architectural Safeguards for Uncertain AI Black-Box Components
Author: Scheerer, Max
Publisher: KIT Scientific Publishing
Total Pages: 472
Release: 2023-10-23
Genre:
ISBN: 373151320X

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Although tremendous progress has been made in Artificial Intelligence (AI), it entails new challenges. The growing complexity of learning tasks requires more complex AI components, which increasingly exhibit unreliable behaviour. In this book, we present a model-driven approach to model architectural safeguards for AI components and analyse their effect on the overall system reliability.


A Reference Structure for Modular Model-based Analyses

A Reference Structure for Modular Model-based Analyses
Author: Koch, Sandro Giovanni
Publisher: KIT Scientific Publishing
Total Pages: 398
Release: 2024-04-25
Genre:
ISBN: 3731513412

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In this work, the authors analysed the co-dependency between models and analyses, particularly the structure and interdependence of artefacts and the feature-based decomposition and composition of model-based analyses. Their goal is to improve the maintainability of model-based analyses. They have investigated the co-dependency of Domain-specific Modelling Languages (DSMLs) and model-based analyses regarding evolvability, understandability, and reusability.


Context-based Access Control and Attack Modelling and Analysis

Context-based Access Control and Attack Modelling and Analysis
Author: Walter, Maximilian
Publisher: KIT Scientific Publishing
Total Pages: 350
Release: 2024-07-03
Genre:
ISBN: 3731513625

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This work introduces architectural security analyses for detecting access violations and attack paths in software architectures. It integrates access control policies and vulnerabilities, often analyzed separately, into a unified approach using software architecture models. Contributions include metamodels for access control and vulnerabilities, scenario-based analysis, and two attack analyses. Evaluation demonstrates high accuracy in identifying issues for secure system development.


Architecting Software Intensive Systems

Architecting Software Intensive Systems
Author: Anthony J. Lattanze
Publisher: CRC Press
Total Pages: 416
Release: 2008-11-18
Genre: Computers
ISBN: 1420045709

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Architectural design is a crucial first step in developing complex software intensive systems. Early design decisions establish the structures necessary for achieving broad systemic properties. However, today's organizations lack synergy between software their development processes and technological methodologies. Providing a thorough treatment of


Structure for Dependability: Computer-Based Systems from an Interdisciplinary Perspective

Structure for Dependability: Computer-Based Systems from an Interdisciplinary Perspective
Author: Denis Besnard
Publisher: Springer Science & Business Media
Total Pages: 308
Release: 2006-04-28
Genre: Computers
ISBN: 1846281113

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System developers, stakeholders, decision makers, policymakers and academics will find this book a one-stop resource highlighting the core issues for all those involved in dependability in a complex computer-based environment.


Software Development

Software Development
Author: Marc Hamilton
Publisher: Prentice Hall Professional
Total Pages: 396
Release: 1999
Genre: Computers
ISBN: 9780130812469

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80% of software projects fail--here's why the other 20% succeed! Software Development is the most thorough, realistic guide to "what works" in software development--and how to make it happen in your organization. Leading consultant Marc Hamilton tackles all three key components of successful development: people, processes, and technology. From streamlining infrastructures to retraining programmers, choosing tools to implementing service-level agreements, Hamilton unifies all of today's best practices--in management, architecture, and software engineering. There's never been a more comprehensive blueprint for software success. Discover "The Ten Commandments of Software Development" Build a winning software development team, organize it for success - and retain your best talent Create a software architecture that maps to business goals and serves as a foundation for successful development Define processes that streamline component and Web-based development projects Leverage the advantages of object-oriented techniques throughout the entire lifecycle Make the most of Java, JavaBeans, and Jini technology Learn the best ways to measure software quality and productivity--and improve them Software Development is ruthlessly realistic and remarkably accessible--for managers and technical professionals alike. Best of all, its techniques can be applied to any project or organization, large or small. Ready to build software that meets all its goals? This book will get you there.


Relating System Quality and Software Architecture

Relating System Quality and Software Architecture
Author: Ivan Mistrik
Publisher: Morgan Kaufmann
Total Pages: 421
Release: 2014-07-30
Genre: Computers
ISBN: 0124171680

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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. Explains how design decisions and method selection influence overall system quality, and lessons learned from theories and frameworks on architectural quality Shows how to align enterprise, system, and software architecture for total quality Includes case studies, experiments, empirical validation, and systematic comparisons with other approaches already in practice.