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| architecture tradeoff analysis method: Evaluating Software Architectures Clements, 2002-09 This Book Describes Systematic Methods For Evaluating Software Architectures And Applies Them To Real-Life Cases. Evaluating Software Architectures Introduces The Conceptual Background For Architecture Evaluation And Provides A Step-By-Step Guide To The Process Based On Numerous Evaluations Performed In Government And Industry. |
| architecture tradeoff analysis method: Software Architecture: The Hard Parts Neal Ford, Mark Richards, Pramod Sadalage, Zhamak Dehghani, 2021-09-23 There are no easy decisions in software architecture. Instead, there are many hard parts--difficult problems or issues with no best practices--that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture. By interweaving a story about a fictional group of technology professionals--the Sysops Squad--they examine everything from how to determine service granularity, manage workflows and orchestration, manage and decouple contracts, and manage distributed transactions to how to optimize operational characteristics, such as scalability, elasticity, and performance. By focusing on commonly asked questions, this book provides techniques to help you discover and weigh the trade-offs as you confront the issues you face as an architect. Analyze trade-offs and effectively document your decisions Make better decisions regarding service granularity Understand the complexities of breaking apart monolithic applications Manage and decouple contracts between services Handle data in a highly distributed architecture Learn patterns to manage workflow and transactions when breaking apart applications |
| architecture tradeoff analysis method: Software Architecture in Practice Len Bass, Paul Clements, Rick Kazman, 2003 This is the eagerly-anticipated revision to one of the seminal books in the field of software architecture which clearly defines and explains the topic. |
| architecture tradeoff analysis method: Continuous Architecture Murat Erder, Pierre Pureur, 2015-10-21 Continuous Architecture provides a broad architectural perspective for continuous delivery, and describes a new architectural approach that supports and enables it. As the pace of innovation and software releases increases, IT departments are tasked to deliver value quickly and inexpensively to their business partners. With a focus on getting software into end-users hands faster, the ultimate goal of daily software updates is in sight to allow teams to ensure that they can release every change to the system simply and efficiently. This book presents an architectural approach to support modern application delivery methods and provide a broader architectural perspective, taking architectural concerns into account when deploying agile or continuous delivery approaches. The authors explain how to solve the challenges of implementing continuous delivery at the project and enterprise level, and the impact on IT processes including application testing, software deployment and software architecture. - Covering the application of enterprise and software architecture concepts to the Agile and Continuous Delivery models - Explains how to create an architecture that can evolve with applications - Incorporates techniques including refactoring, architectural analysis, testing, and feedback-driven development - Provides insight into incorporating modern software development when structuring teams and organizations |
| architecture tradeoff analysis method: Designing Software Architectures Humberto Cervantes, Rick Kazman, 2016-04-29 Designing Software Architectures will teach you how to design any software architecture in a systematic, predictable, repeatable, and cost-effective way. This book introduces a practical methodology for architecture design that any professional software engineer can use, provides structured methods supported by reusable chunks of design knowledge, and includes rich case studies that demonstrate how to use the methods. Using realistic examples, you’ll master the powerful new version of the proven Attribute-Driven Design (ADD) 3.0 method and will learn how to use it to address key drivers, including quality attributes, such as modifiability, usability, and availability, along with functional requirements and architectural concerns. Drawing on their extensive experience, Humberto Cervantes and Rick Kazman guide you through crafting practical designs that support the full software life cycle, from requirements to maintenance and evolution. You’ll learn how to successfully integrate design in your organizational context, and how to design systems that will be built with agile methods. Comprehensive coverage includes Understanding what architecture design involves, and where it fits in the full software development life cycle Mastering core design concepts, principles, and processes Understanding how to perform the steps of the ADD method Scaling design and analysis up or down, including design for pre-sale processes or lightweight architecture reviews Recognizing and optimizing critical relationships between analysis and design Utilizing proven, reusable design primitives and adapting them to specific problems and contexts Solving design problems in new domains, such as cloud, mobile, or big data |
| architecture tradeoff analysis method: Automotive Software Architectures Miroslaw Staron, 2021-03-01 This book introduces the concept of software architecture as one of the cornerstones of software in modern cars. Following a historical overview of the evolution of software in modern cars and a discussion of the main challenges driving that evolution, Chapter 2 describes the main architectural styles of automotive software and their use in cars’ software. Chapter 3 details this further by presenting two modern architectural styles, i.e. centralized and federated software architectures. In Chapter 4, readers will find a description of the software development processes used to develop software on the car manufacturers’ side. Chapter 5 then introduces AUTOSAR – an important standard in automotive software. Chapter 6 goes beyond simple architecture and describes the detailed design process for automotive software using Simulink, helping readers to understand how detailed design links to high-level design. The new chapter 7 reports on how machine learning is exploited in automotive software e.g. for image recognition and how both on-board and off-board learning are applied. Next, Chapter 8 presents a method for assessing the quality of the architecture – ATAM (Architecture Trade-off Analysis Method) – and provides a sample assessment, while Chapter 9 presents an alternative way of assessing the architecture, namely by using quantitative measures and indicators. Subsequently Chapter 10 dives deeper into one of the specific properties discussed in Chapter 8 – safety – and details an important standard in that area, the ISO/IEC 26262 norm. Lastly, Chapter 11 presents a set of future trends that are currently emerging and have the potential to shape automotive software engineering in the coming years. This book explores the concept of software architecture for modern cars and is intended for both beginning and advanced software designers. It mainly aims at two different groups of audience – professionals working with automotive software who need to understand concepts related to automotive architectures, and students of software engineering or related fields who need to understand the specifics of automotive software to be able to construct cars or their components. Accordingly, the book also contains a wealth of real-world examples illustrating the concepts discussed and requires no prior background in the automotive domain. Compared to the first edition, besides the two new chapters 3 and 7 there are considerable updates in chapters 5 and 8 especially. |
| architecture tradeoff analysis method: Software Architecture for Busy Developers Stephane Eyskens, 2021-10-15 A quick start guide to learning essential software architecture tools, frameworks, design patterns, and best practices Key FeaturesApply critical thinking to your software development and architecture practices and bring structure to your approach using well-known IT standardsUnderstand the impact of cloud-native approaches on software architectureIntegrate the latest technology trends into your architectural designsBook Description Are you a seasoned developer who likes to add value to a project beyond just writing code? Have you realized that good development practices are not enough to make a project successful, and you now want to embrace the bigger picture in the IT landscape? If so, you're ready to become a software architect; someone who can deal with any IT stakeholder as well as add value to the numerous dimensions of software development. The sheer volume of content on software architecture can be overwhelming, however. Software Architecture for Busy Developers is here to help. Written by Stephane Eyskens, author of The Azure Cloud Native Mapbook, this book guides you through your software architecture journey in a pragmatic way using real-world scenarios. By drawing on over 20 years of consulting experience, Stephane will help you understand the role of a software architect, without the fluff or unnecessarily complex theory. You'll begin by understanding what non-functional requirements mean and how they concretely impact target architecture. The book then covers different frameworks used across the entire enterprise landscape with the help of use cases and examples. Finally, you'll discover ways in which the cloud is becoming a game changer in the world of software architecture. By the end of this book, you'll have gained a holistic understanding of the architectural landscape, as well as more specific software architecture skills. You'll also be ready to pursue your software architecture journey on your own - and in just one weekend! What you will learnUnderstand the roles and responsibilities of a software architectExplore enterprise architecture tools and frameworks such as The Open Group Architecture Framework (TOGAF) and ArchiMateGet to grips with key design patterns used in software developmentExplore the widely adopted Architecture Tradeoff Analysis Method (ATAM)Discover the benefits and drawbacks of monoliths, service-oriented architecture (SOA), and microservicesStay on top of trending architectures such as API-driven, serverless, and cloud nativeWho this book is for This book is for developers who want to move up the organizational ladder and become software architects by understanding the broader application landscape and discovering how large enterprises deal with software architecture practices. Prior knowledge of software development is required to get the most out of this book. |
| architecture tradeoff analysis method: A Practitioner’s Handbook for Real-Time Analysis Mark Klein, Thomas Ralya, Bill Pollak, Ray Obenza, Michael González Harbour, 2012-12-06 A Practitioner's Handbook for Real-Time Analysis: Guide to Rate Monotonic Analysis for Real-Time Systems contains an invaluable collection of quantitative methods that enable real-time system developers to understand, analyze, and predict the timing behavior of many real-time systems. The methods are practical and theoretically sound, and can be used to assess design tradeoffs and to troubleshoot system timing behavior. This collection of methods is called rate monotonic analysis (RMA). The Handbook includes a framework for describing and categorizing the timing aspects of real-time systems, step-by-step techniques for performing timing analysis, numerous examples of real-time situations to which the techniques can be applied, and two case studies. A Practitioner's Handbook for Real-Time Analysis: Guide to Rate Monotonic Analysis for Real-Time Systems has been created to serve as a definitive source of information and a guide for developers as they analyze and design real-time systems using RMA. The Handbook is an excellent reference, and may be used as the text for advanced courses on the subject. |
| architecture tradeoff analysis method: Just Enough Software Architecture George Fairbanks, 2010-08-30 This is a practical guide for software developers, and different than other software architecture books. Here's why: It teaches risk-driven architecting. There is no need for meticulous designs when risks are small, nor any excuse for sloppy designs when risks threaten your success. This book describes a way to do just enough architecture. It avoids the one-size-fits-all process tar pit with advice on how to tune your design effort based on the risks you face. It democratizes architecture. This book seeks to make architecture relevant to all software developers. Developers need to understand how to use constraints as guiderails that ensure desired outcomes, and how seemingly small changes can affect a system's properties. It cultivates declarative knowledge. There is a difference between being able to hit a ball and knowing why you are able to hit it, what psychologists refer to as procedural knowledge versus declarative knowledge. This book will make you more aware of what you have been doing and provide names for the concepts. It emphasizes the engineering. This book focuses on the technical parts of software development and what developers do to ensure the system works not job titles or processes. It shows you how to build models and analyze architectures so that you can make principled design tradeoffs. It describes the techniques software designers use to reason about medium to large sized problems and points out where you can learn specialized techniques in more detail. It provides practical advice. Software design decisions influence the architecture and vice versa. The approach in this book embraces drill-down/pop-up behavior by describing models that have various levels of abstraction, from architecture to data structure design. |
| architecture tradeoff analysis method: Managing Trade-offs in Adaptable Software Architectures Ivan Mistrik, Nour Ali, Rick Kazman, John Grundy, Bradley Schmerl, 2016-08-12 Managing Trade-Offs in Adaptable Software Architectures explores the latest research on adapting large complex systems to changing requirements. To be able to adapt a system, engineers must evaluate different quality attributes, including trade-offs to balance functional and quality requirements to maintain a well-functioning system throughout the lifetime of the system. This comprehensive resource brings together research focusing on how to manage trade-offs and architect adaptive systems in different business contexts. It presents state-of-the-art techniques, methodologies, tools, best practices, and guidelines for developing adaptive systems, and offers guidance for future software engineering research and practice. Each contributed chapter considers the practical application of the topic through case studies, experiments, empirical validation, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to, how to architect a system for adaptability, software architecture for self-adaptive systems, understanding and balancing the trade-offs involved, architectural patterns for self-adaptive systems, how quality attributes are exhibited by the architecture of the system, how to connect the quality of a software architecture to system architecture or other system considerations, and more. - Explains software architectural processes and metrics supporting highly adaptive and complex engineering - Covers validation, verification, security, and quality assurance in system design - Discusses domain-specific software engineering issues for cloud-based, mobile, context-sensitive, cyber-physical, ultra-large-scale/internet-scale systems, mash-up, and autonomic systems - Includes practical case studies of complex, adaptive, and context-critical systems |
| architecture tradeoff analysis method: Agile Software Architecture Muhammad Ali Babar, Alan W. Brown, Ivan Mistrik, 2013-11-27 Agile software development approaches have had significant impact on industrial software development practices. Today, agile software development has penetrated to most IT companies across the globe, with an intention to increase quality, productivity, and profitability. Comprehensive knowledge is needed to understand the architectural challenges involved in adopting and using agile approaches and industrial practices to deal with the development of large, architecturally challenging systems in an agile way. Agile Software Architecture focuses on gaps in the requirements of applying architecture-centric approaches and principles of agile software development and demystifies the agile architecture paradox. Readers will learn how agile and architectural cultures can co-exist and support each other according to the context. Moreover, this book will also provide useful leads for future research in architecture and agile to bridge such gaps by developing appropriate approaches that incorporate architecturally sound practices in agile methods. - Presents a consolidated view of the state-of-art and state-of-practice as well as the newest research findings - Identifies gaps in the requirements of applying architecture-centric approaches and principles of agile software development and demystifies the agile architecture paradox - Explains whether or not and how agile and architectural cultures can co-exist and support each other depending upon the context - Provides useful leads for future research in both architecture and agile to bridge such gaps by developing appropriate approaches, which incorporate architecturally sound practices in agile methods |
| architecture tradeoff analysis method: Documenting Software Architectures Paul Clements, Felix Bachmann, Len Bass, David Garlan, James Ivers, Reed Little, Paulo Merson, Robert Nord, Judith Stafford, 2010-10-05 Software architecture—the conceptual glue that holds every phase of a project together for its many stakeholders—is widely recognized as a critical element in modern software development. Practitioners have increasingly discovered that close attention to a software system’s architecture pays valuable dividends. Without an architecture that is appropriate for the problem being solved, a project will stumble along or, most likely, fail. Even with a superb architecture, if that architecture is not well understood or well communicated the project is unlikely to succeed. Documenting Software Architectures, Second Edition, provides the most complete and current guidance, independent of language or notation, on how to capture an architecture in a commonly understandable form. Drawing on their extensive experience, the authors first help you decide what information to document, and then, with guidelines and examples (in various notations, including UML), show you how to express an architecture so that others can successfully build, use, and maintain a system from it. The book features rules for sound documentation, the goals and strategies of documentation, architectural views and styles, documentation for software interfaces and software behavior, and templates for capturing and organizing information to generate a coherent package. New and improved in this second edition: Coverage of architectural styles such as service-oriented architectures, multi-tier architectures, and data models Guidance for documentation in an Agile development environment Deeper treatment of documentation of rationale, reflecting best industrial practices Improved templates, reflecting years of use and feedback, and more documentation layout options A new, comprehensive example (available online), featuring documentation of a Web-based service-oriented system Reference guides for three important architecture documentation languages: UML, AADL, and SySML |
| architecture tradeoff analysis method: Software Architecture Muhammad Ali Babar, Ian Gorton, 2010-08-27 Welcome to the European Conference on Software Architecture (ECSA), which is the premier European software engineering conference. ECSA provides researchers and practitioners with a platform to present and discuss the most recent, innovative, and significant findings and experiences in the field of software architecture research and practice. The fourth edition of ECSA was built upon a history of a successful series of European workshops on software architecture held from 2004 through 2006 and a series of European software architecture conferences from 2007 through 2009. The last ECSA was merged with the 8th Working IEEE/IFIP Conference on Software Architecture (WICSA). Apart from the traditional technical program consisting of keynote talks, a main - search track, and a poster session, the scope of the ECSA 2010 was broadened to incorporate other tracks such as an industry track, doctoral symposium track, and a tool demonstration track. In addition, we also offered several workshops and tutorials on diverse topics related to software architecture. We received more than 100 submissions in the three main categories: full research and experience papers, emerging research papers, and research challenges papers. The conference attracted papers (co-)authored by researchers, practitioners, and academics from 30 countries (Algeria, Australia, Austria, Belgium, Brazil, Canada, Chile, China, Colombia, Czech Republic, Denmark, Finland, France, Germany, Hong Kong, I- land, India, Ireland, Israel, Italy, The Netherlands, Poland, Portugal, Romania, Spain, Sweden, Switzerland, Tunisia, United Kingdom, United States). |
| architecture tradeoff analysis method: Continuous Architecture in Practice Eoin Woods, Murat Erder, Pierre Pureur, 2021-05-26 Update Your Architectural Practices for New Challenges, Environments, and Stakeholder Expectations I am continuously delighted and inspired by the work of these authors. Their first book laid the groundwork for understanding how to evolve the architecture of a software-intensive system, and this latest one builds on it in some wonderfully actionable ways. --Grady Booch, Chief Scientist for Software Engineering, IBM Research Authors Murat Erder, Pierre Pureur, and Eoin Woods have taken their extensive software architecture experience and applied it to the practical aspects of software architecture in real-world environments. Continuous Architecture in Practice provides hands-on advice for leveraging the continuous architecture approach in real-world environments and illuminates architecture's changing role in the age of Agile, DevOps, and cloud platforms. This guide will help technologists update their architecture practice for new software challenges. As part of the Vaughn Vernon Signature Series, this title was hand-selected for the practical, delivery-oriented knowledge that architects and software engineers can quickly apply. It includes in-depth guidance for addressing today's key quality attributes and cross-cutting concerns such as security, performance, scalability, resilience, data, and emerging technologies. Each key technique is demonstrated through a start-to-finish case study reflecting the authors' deep experience with complex software environments. Key topics include: Creating sustainable, coherent systems that meet functional requirements and the quality attributes stakeholders care about Understanding team-based software architecture and architecture as a flow of decisions Understanding crucial issues of data management, integration, and change, and the impact of varied data technologies on architecture Architecting for security, including continuous threat modeling and mitigation Architecting for scalability and resilience, including scaling microservices and serverless environments Using architecture to improve performance in continuous delivery environments Using architecture to apply emerging technologies successfully Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. |
| architecture tradeoff analysis method: The Art and Science of Analyzing Software Data Christian Bird, Tim Menzies, Thomas Zimmermann, 2015-09-02 The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions. - Presents best practices, hints, and tips to analyze data and apply tools in data science projects - Presents research methods and case studies that have emerged over the past few years to further understanding of software data - Shares stories from the trenches of successful data science initiatives in industry |
| architecture tradeoff analysis method: Building a Data Warehouse Vincent Rainardi, 2008-03-11 Here is the ideal field guide for data warehousing implementation. This book first teaches you how to build a data warehouse, including defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Coverage then explains how to populate the data warehouse and explores how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. It also details testing and how to administer data warehouse operation. |
| architecture tradeoff analysis method: Trade-off Analytics Gregory S. Parnell, 2016-10-25 Presents information to create a trade-off analysis framework for use in government and commercial acquisition environments This book presents a decision management process based on decision theory and cost analysis best practices aligned with the ISO/IEC 15288, the Systems Engineering Handbook, and the Systems Engineering Body of Knowledge. It provides a sound trade-off analysis framework to generate the tradespace and evaluate value and risk to support system decision-making throughout the life cycle. Trade-off analysis and risk analysis techniques are examined. The authors present an integrated value trade-off and risk analysis framework based on decision theory. These trade-off analysis concepts are illustrated in the different life cycle stages using multiple examples from defense and commercial domains. Provides techniques to identify and structure stakeholder objectives and creative, doable alternatives Presents the advantages and disadvantages of tradespace creation and exploration techniques for trade-off analysis of concepts, architectures, design, operations, and retirement Covers the sources of uncertainty in the system life cycle and examines how to identify, assess, and model uncertainty using probability Illustrates how to perform a trade-off analysis using the INCOSE Decision Management Process using both deterministic and probabilistic techniques Trade-off Analytics: Creating and Exploring the System Tradespace is written for upper undergraduate students and graduate students studying systems design, systems engineering, industrial engineering and engineering management. This book also serves as a resource for practicing systems designers, systems engineers, project managers, and engineering managers. Gregory S. Parnell, PhD, is a Research Professor in the Department of Industrial Engineering at the University of Arkansas. He is also a senior principal with Innovative Decisions, Inc., a decision and risk analysis firm and has served as Chairman of the Board. Dr. Parnell has published more than 100 papers and book chapters and was lead editor of Decision Making for Systems Engineering and Management, Wiley Series in Systems Engineering (2nd Ed, Wiley 2011) and lead author of the Handbook of Decision Analysis (Wiley 2013). He is a fellow of INFORMS, the INCOSE, MORS, and the Society for Decision Professionals. |
| architecture tradeoff analysis method: Software Architecture Flavio Oquendo, 2007-09-11 This book constitutes the refereed proceedings of the First European Conference on Software Architecture, ECSA 2007, held in Aranjuez, Spain. The 12 revised long papers presented together with four short papers cover description languages and metamodels, architecture-based code generation, run-time monitoring, requirements engineering, service-oriented architectures, aspect-oriented software architectures, ontology-based approaches, autonomic systems, middleware and web services. |
| architecture tradeoff analysis method: Software Design Methodology Hong Zhu, 2005-03-22 Software Design Methodology explores the theory of software architecture, with particular emphasis on general design principles rather than specific methods. This book provides in depth coverage of large scale software systems and the handling of their design problems. It will help students gain an understanding of the general theory of design methodology, and especially in analysing and evaluating software architectural designs, through the use of case studies and examples, whilst broadening their knowledge of large-scale software systems. This book shows how important factors, such as globalisation, modelling, coding, testing and maintenance, need to be addressed when creating a modern information system. Each chapter contains expected learning outcomes, a summary of key points and exercise questions to test knowledge and skills. Topics range from the basic concepts of design to software design quality; design strategies and processes; and software architectural styles. Theory and practice are reinforced with many worked examples and exercises, plus case studies on extraction of keyword vector from text; design space for user interface architecture; and document editor. Software Design Methodology is intended for IT industry professionals as well as software engineering and computer science undergraduates and graduates on Msc conversion courses. * In depth coverage of large scale software systems and the handling of their design problems* Many worked examples, exercises and case studies to reinforce theory and practice* Gain an understanding of the general theory of design methodology |
| architecture tradeoff analysis method: Software Architect’s Handbook Joseph Ingeno, 2018-08-30 A comprehensive guide to exploring software architecture concepts and implementing best practices Key Features Enhance your skills to grow your career as a software architect Design efficient software architectures using patterns and best practices Learn how software architecture relates to an organization as well as software development methodology Book Description The Software Architect’s Handbook is a comprehensive guide to help developers, architects, and senior programmers advance their career in the software architecture domain. This book takes you through all the important concepts, right from design principles to different considerations at various stages of your career in software architecture. The book begins by covering the fundamentals, benefits, and purpose of software architecture. You will discover how software architecture relates to an organization, followed by identifying its significant quality attributes. Once you have covered the basics, you will explore design patterns, best practices, and paradigms for efficient software development. The book discusses which factors you need to consider for performance and security enhancements. You will learn to write documentation for your architectures and make appropriate decisions when considering DevOps. In addition to this, you will explore how to design legacy applications before understanding how to create software architectures that evolve as the market, business requirements, frameworks, tools, and best practices change over time. By the end of this book, you will not only have studied software architecture concepts but also built the soft skills necessary to grow in this field. What you will learn Design software architectures using patterns and best practices Explore the different considerations for designing software architecture Discover what it takes to continuously improve as a software architect Create loosely coupled systems that can support change Understand DevOps and how it affects software architecture Integrate, refactor, and re-architect legacy applications Who this book is for The Software Architect’s Handbook is for you if you are a software architect, chief technical officer (CTO), or senior developer looking to gain a firm grasp of software architecture. |
| architecture tradeoff analysis method: Architecting Software Intensive Systems Anthony J. Lattanze, 2008-11-18 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 |
| architecture tradeoff analysis method: The Method Framework for Engineering System Architectures Donald G. Firesmith, Peter Capell, Dietrich Falkenthal, Charles B. Hammons, DeWitt T. Latimer IV, Tom Merendino, 2008-11-20 Offering a practical way to generate effective and efficient project-specific system architecture engineering methods, this volume addresses the entire range of systems architecture including hardware, software, subsystems, and systems of systems. It defines a set of architectural roles and teams and provides a repository of reusable architectural engineering process components to develop high-quality system architectures. It examines a cohesive set of tailorable tasks and components steps for producing associated architectural work products and establishes a recommended set of industry best practices for engineering the architecture of software-intensive systems. |
| architecture tradeoff analysis method: Systems Analysis and Design: Techniques, Methodologies, Approaches, and Architecture Roger Chiang, 2017-07-05 For the last two decades, IS researchers have conducted empirical studies leading to better understanding of the impact of Systems Analysis and Design methods in business, managerial, and cultural contexts. SA & D research has established a balanced focus not only on technical issues, but also on organizational and social issues in the information society.This volume presents the very latest, state-of-the-art research by well-known figures in the field. The chapters are grouped into three categories: techniques, methodologies, and approaches. |
| architecture tradeoff analysis method: Software Architecture Patrick Donohoe, 2013-06-05 Software architecture is a primary factor in the creation and evolution of virtually all products involving software. It is a topic of major interest in the research community where pronusmg formalisms, processes, and technologies are under development. Architecture is also of major interest in industry because it is recognized as a significant leverage point for manipulating such basic development factors as cost, quality, and interval. Its importance is attested to by the fact that there are several international workshop series as well as major conference sessions devoted to it. The First Working IFIP Conference on Software Architecture (WICSAl) provided a focused and dedicated forum for the international software architecture community to unify and coordinate its effort to advance the state of practice and research. WICSA 1 was organized to facilitate information exchange between practising software architects and software architecture researchers. The conference was held in San Antonio, Texas, USA, from February 22nd to February 24th, 1999; it was the initiating event for the new IFIP TC-2 Working Group on Software Architecture. This proceedings document contains the papers accepted for the conference. The papers in this volume comprise both experience reports and technical papers. The proceedings reflect the structure of the conference and are divided into six sections corresponding to the working groups established for the conference. |
| architecture tradeoff analysis method: An Architecture-based Approach for Change Impact Analysis of Software-intensive Systems Busch, Kiana, 2020-03-19 |
| architecture tradeoff analysis method: Managing Technical Debt Philippe Kruchten, Ipek Ozkaya, 2019-04-15 “This is an incredibly wise and useful book. The authors have considerable real-world experience in delivering quality systems that matter, and their expertise shines through in these pages. Here you will learn what technical debt is, what is it not, how to manage it, and how to pay it down in responsible ways. This is a book I wish I had when I was just beginning my career. The authors present a myriad of case studies, born from years of experience, and offer a multitude of actionable insights for how to apply it to your project.” –Grady Booch, IBM Fellow Master Best Practices for Managing Technical Debt to Promote Software Quality and Productivity As software systems mature, earlier design or code decisions made in the context of budget or schedule constraints increasingly impede evolution and innovation. This phenomenon is called technical debt, and practical solutions exist. In Managing Technical Debt, three leading experts introduce integrated, empirically developed principles and practices that any software professional can use to gain control of technical debt in any software system. Using real-life examples, the authors explain the forms of technical debt that afflict software-intensive systems, their root causes, and their impacts. They introduce proven approaches for identifying and assessing specific sources of technical debt, limiting new debt, and “paying off” debt over time. They describe how to establish managing technical debt as a core software engineering practice in your organization. Discover how technical debt damages manageability, quality, productivity, and morale–and what you can do about it Clarify root causes of debt, including the linked roles of business goals, source code, architecture, testing, and infrastructure Identify technical debt items, and analyze their costs so you can prioritize action Choose the right solution for each technical debt item: eliminate, reduce, or mitigate Integrate software engineering practices that minimize new debt Managing Technical Debt will be a valuable resource for every software professional who wants to accelerate innovation in existing systems, or build new systems that will be easier to maintain and evolve. |
| architecture tradeoff analysis method: Applied Software Architecture Christine Hofmeister, Robert Nord, Dilip Soni, 2000 Designing a large software system is an extremely complicated undertaking that requires juggling differing perspectives and differing goals, and evaluating differing options. Applied Software Architecture is the best book yet that gives guidance as to how to sort out and organize the conflicting pressures and produce a successful design. -- Len Bass, author of Software Architecture in Practice. Quality software architecture design has always been important, but in today's fast-paced, rapidly changing, and complex development environment, it is essential. A solid, well-thought-out design helps to manage complexity, to resolve trade-offs among conflicting requirements, and, in general, to bring quality software to market in a more timely fashion. Applied Software Architecture provides practical guidelines and techniques for producing quality software designs. It gives an overview of software architecture basics and a detailed guide to architecture design tasks, focusing on four fundamental views of architecture--conceptual, module, execution, and code. Through four real-life case studies, this book reveals the insights and best practices of the most skilled software architects in designing software architecture. These case studies, written with the masters who created them, demonstrate how the book's concepts and techniques are embodied in state-of-the-art architecture design. You will learn how to: create designs flexible enough to incorporate tomorrow's technology; use architecture as the basis for meeting performance, modifiability, reliability, and safety requirements; determine priorities among conflicting requirements and arrive at a successful solution; and use software architecture to help integrate system components. Anyone involved in software architecture will find this book a valuable compendium of best practices and an insightful look at the critical role of architecture in software development. 0201325713B07092001 |
| architecture tradeoff analysis method: Digital Video Concepts, Methods, and Metrics Shahriar Akramullah, 2014-11-05 Digital Video Concepts, Methods, and Metrics: Quality, Compression, Performance, and Power Trade-off Analysis is a concise reference for professionals in a wide range of applications and vocations. It focuses on giving the reader mastery over the concepts, methods and metrics of digital video coding, so that readers have sufficient understanding to choose and tune coding parameters for optimum results that would suit their particular needs for quality, compression, speed and power. The practical aspects are many: Uploading video to the Internet is only the beginning of a trend where a consumer controls video quality and speed by trading off various other factors. Open source and proprietary applications such as video e-mail, private party content generation, editing and archiving, and cloud asset management would give further control to the end-user. Digital video is frequently compressed and coded for easier storage and transmission. This process involves visual quality loss due to typical data compression techniques and requires use of high performance computing systems. A careful balance between the amount of compression, the visual quality loss and the coding speed is necessary to keep the total system cost down, while delivering a good user experience for various video applications. At the same time, power consumption optimizations are also essential to get the job done on inexpensive consumer platforms. Trade-offs can be made among these factors, and relevant considerations are particularly important in resource-constrained low power devices. To better understand the trade-offs this book discusses a comprehensive set of engineering principles, strategies, methods and metrics. It also exposes readers to approaches on how to differentiate and rank video coding solutions. |
| architecture tradeoff analysis method: Pattern-Oriented Software Architecture, A System of Patterns Frank Buschmann, Regine Meunier, Hans Rohnert, Peter Sommerlad, Michael Stal, 2013-04-22 Pattern-oriented software architecture is a new approach to software development. This book represents the progression and evolution of the pattern approach into a system of patterns capable of describing and documenting large-scale applications. A pattern system provides, on one level, a pool of proven solutions to many recurring design problems. On another it shows how to combine individual patterns into heterogeneous structures and as such it can be used to facilitate a constructive development of software systems. Uniquely, the patterns that are presented in this book span several levels of abstraction, from high-level architectural patterns and medium-level design patterns to low-level idioms. The intention of, and motivation for, this book is to support both novices and experts in software development. Novices will gain from the experience inherent in pattern descriptions and experts will hopefully make use of, add to, extend and modify patterns to tailor them to their own needs. None of the pattern descriptions are cast in stone and, just as they are borne from experience, it is expected that further use will feed in and refine individual patterns and produce an evolving system of patterns. Visit our Web Page http://www.wiley.com/compbooks/ |
| architecture tradeoff analysis method: A Philosophy of Software Design John K. Ousterhout, 2021 This book addresses the topic of software design: how to decompose complex software systems into modules (such as classes and methods) that can be implemented relatively independently. The book first introduces the fundamental problem in software design, which is managing complexity. It then discusses philosophical issues about how to approach the software design process and it presents a collection of design principles to apply during software design. The book also introduces a set of red flags that identify design problems. You can apply the ideas in this book to minimize the complexity of large software systems, so that you can write software more quickly and cheaply.--Amazon. |
| architecture tradeoff analysis method: Software Systems Architecture Nick Rozanski, Eoin Woods, 2012 This guide for software architects builds upon legacies of best practice, explaining key areas and how to make architectural designs successful. |
| architecture tradeoff analysis method: Conceptual Modeling - ER 2007 Christine Parent, 2007-10-15 This book constitutes the refereed proceedings of the 26th International Conference on Conceptual Modeling, ER 2007. Coverage in the papers includes data warehousing and data mining, design methodologies and tools, information and database integration, information modeling concepts and ontologies, integrity constraints, logical foundations of conceptual modeling, patterns and conceptual meta-modeling, semi-structured data and XML, as well as Web information systems and XML. |
| architecture tradeoff analysis method: COTS-Based Software Systems Hakan Erdogmus, 2003-01-31 This book constitutes the refereed proceedings of the Second International Conference on COTS-Based Software Systems, ICCBSS 2003, held in Ottawa, Canada in February 2003. The 24 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers address all current issues on commcerial-off-the-shelf-systems, from the point of view of research and development as well as from the practitioner's application point of view. |
| architecture tradeoff analysis method: Modeling and Simulating Software Architectures Ralf H. Reussner, Steffen Becker, Jens Happe, Robert Heinrich, Anne Koziolek, 2016-10-21 A new, quantitative architecture simulation approach to software design that circumvents costly testing cycles by modeling quality of service in early design states. Too often, software designers lack an understanding of the effect of design decisions on such quality attributes as performance and reliability. This necessitates costly trial-and-error testing cycles, delaying or complicating rollout. This book presents a new, quantitative architecture simulation approach to software design, which allows software engineers to model quality of service in early design stages. It presents the first simulator for software architectures, Palladio, and shows students and professionals how to model reusable, parametrized components and configured, deployed systems in order to analyze service attributes. The text details the key concepts of Palladio's domain-specific modeling language for software architecture quality and presents the corresponding development stage. It describes how quality information can be used to calibrate architecture models from which detailed simulation models are automatically derived for quality predictions. Readers will learn how to approach systematically questions about scalability, hardware resources, and efficiency. The text features a running example to illustrate tasks and methods as well as three case studies from industry. Each chapter ends with exercises, suggestions for further reading, and “takeaways” that summarize the key points of the chapter. The simulator can be downloaded from a companion website, which offers additional material. The book can be used in graduate courses on software architecture, quality engineering, or performance engineering. It will also be an essential resource for software architects and software engineers and for practitioners who want to apply Palladio in industrial settings. |
| architecture tradeoff analysis method: Software Quality Assurance Ivan Mistrik, Richard M Soley, Nour Ali, John Grundy, Bedir Tekinerdogan, 2015-10-12 Software Quality Assurance in Large Scale and Complex Software-intensive Systems presents novel and high-quality research related approaches that relate the quality of software architecture to system requirements, system architecture and enterprise-architecture, or software testing. Modern software has become complex and adaptable due to the emergence of globalization and new software technologies, devices and networks. These changes challenge both traditional software quality assurance techniques and software engineers to ensure software quality when building today (and tomorrow's) adaptive, context-sensitive, and highly diverse applications. This edited volume presents state of the art techniques, methodologies, tools, best practices and guidelines for software quality assurance and offers guidance for future software engineering research and practice. Each contributed chapter considers the practical application of the topic through case studies, experiments, empirical validation, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited, to: quality attributes of system/software architectures; aligning enterprise, system, and software architecture from the point of view of total quality; design decisions and their influence on the quality of system/software architecture; methods and processes for evaluating architecture quality; quality assessment of legacy systems and third party applications; lessons learned and empirical validation of theories and frameworks on architectural quality; empirical validation and testing for assessing architecture quality. - Focused on quality assurance at all levels of software design and development - Covers domain-specific software quality assurance issues e.g. for cloud, mobile, security, context-sensitive, mash-up and autonomic systems - Explains likely trade-offs from design decisions in the context of complex software system engineering and quality assurance - Includes practical case studies of software quality assurance for complex, adaptive and context-critical systems |
| architecture tradeoff analysis method: Software Reading Techniques Yang‐Ming Zhu, 2016-11-17 Learn twenty software reading techniques to enhance your effectiveness in reviewing and inspecting software artifacts such as requirements specifications, designs, code files, and usability. Software review and inspection is the best practice in software development that detects and fixes problems early. Software professionals are trained to write software but not read and analyze software written by peers. As a result, individual reading skills vary widely. Because the effectiveness of software review and inspection is highly dependent on individual reading skills, differential outcomes among software readers vary by a factor of ten. Software Reading Techniques is designed to close that gap. Dr Yang‐Ming Zhu’s depth of experience as a software architect, team leader, and scientist make him singularly well-equipped to bring you up to speed on all the techniques and tips for optimizing the effectiveness and efficiency of your software review and inspection skills. What You'll Learn: Improve software review, inspection procedures, and reading skills Study traditional and modern advanced reading techniques applicable to software artifacts Master specific reading techniques for software requirements specification, software design, and code Who This Book Is For: Software professionals and software engineering students and researchers |
| architecture tradeoff analysis method: Transactions on Pattern Languages of Programming III James Noble, Ralph Johnson, Uwe Zdun, Eugene Wallingford, 2013-05-31 The Transactions on Pattern Languages of Programming subline aims to publish papers on patterns and pattern languages as applied to software design, development, and use, throughout all phases of the software life cycle, from requirements and design to implementation, maintenance and evolution. The primary focus of this LNCS Transactions subline is on patterns, pattern collections, and pattern languages themselves. The journal also includes reviews, survey articles, criticisms of patterns and pattern languages, as well as other research on patterns and pattern languages. This book, the third volume in the Transactions on Pattern Languages of Programming series, presents five papers that have been through a careful peer review process involving both pattern experts and domain experts. The papers present various pattern languages and a study of applying patterns and represent some of the best work that has been carried out in design patterns and pattern languages of programming over the last few years. |
| architecture tradeoff analysis method: Software Architecture Matthias Galster, |
| architecture tradeoff analysis method: Agile Estimation Techniques and Innovative Approaches to Software Process Improvement Colomo-Palacios, Ricardo, 2014-02-28 Applying methodologies of Software Process Improvement (SPI) is an effective way for businesses to remain competitive in the software industry. However, many organizations find implementing software process initiatives challenging. Agile Estimation Techniques and Innovative Approaches to Software Process Improvement reviews current SPI techniques and applications through discussions on current and future trends as well as the presentation of case studies on SPI implementation. Ideal for use by academics, students, and policy-makers, as well as industry professionals and managers, this publication provides a complete overview of current tools and methodologies regarding Software Process Improvement. |
| architecture tradeoff analysis method: Software Product-Family Engineering Frank van der Linden, 2003-07-31 This book contains the proceedings of the Fourth International Workshop on Product Family Engineering, PFE-4, held in Bilbao, Spain, October 3–5, 2001. This workshop was the fourth in a series started in 1996, with the same s- ject, software product-family engineering. Proceedings of the second and third workshops have been published as LNCS 1429 and LNCS 1951. The workshops were organized within co-operation projects of European - dustry, the ?rst two by ARES (Esprit IV 20.477) 1995–1999. This project had three industrial and three academic partners, and focused on software archit- turesforproductfamilies.SomeofthepartnerscontinuedinITEAproject99005, ESAPS(1999–2001).ITEAisthesoftwaredevelopmentprogram(?!2023)within the European Eureka initiative. ITEA projects last for two years and ESAPS ́ was succeeded by CAFE (ITEA ip00004), which started in 2001 and will t- minate in 2003. This workshop was initially prepared within ESAPS and the ́ preparation continued in CAFE. Due to the attacks in the USA of September 11, several people were not able to ?y and therefore did not show up. However, we have included their submissions in these proceedings. The session chair presented these submissions, and their inputs were used during the discussions. It was planned that Henk Obbink be workshop chair, and Linda Northrop and Sergio Bandinelli be co-chairs. However, because of personal circumstances Henk Obbink was not able to leave home during the workshop. Moreover both co-chairs had already enough other duties. Therefore the chairing duties were taken over by the program chair, Frank van der Linden. |
Architecture tradeoff analysis method - Wikipedia
In software engineering, Architecture Tradeoff Analysis Method (ATAM) is a risk-mitigation process used early in the software development life cycle. ATAM was developed by the …
The Architecture Tradeoff Analysis Method - Carnegie …
This paper presents the Architecture Tradeoff Analysis Method (ATAM), a structured tech-nique for understanding the tradeoffs inherent in the architectures of software-intensive sys-tems.
Architecture Tradeoff Analysis Method (ATAM) - GeeksforGeeks
Feb 25, 2024 · This article focuses on discussing the Architecture Tradeoff Analysis Method (ATAM). This Method is a method used to evaluate the quality attributes (such as …
Architecture Tradeoff Analysis Method Collection - SEI Digital …
Feb 14, 2018 · The Architecture Tradeoff Analysis Method (ATAM) is a method for evaluating software architectures relative to quality attribute goals. ATAM evaluations expose …
Architecture Tradeoff Analysis Method - an overview
The Architecture Tradeoff Analysis Method (ATAM) is a rigorous and systematic approach used to evaluate and analyze the risks, trade-offs, and sensitivity points associated with a proposed …
The Architecture Tradeoff Analysis Method (ATAM - DTIC
The Architecture Tradeoff Analysis Method (ATAM) was developed by the Software Engineering Institute. The purpose of the ATAM is to assess the consequences of architectural decisions in …
Experience with Performing Architecture Tradeoff Analysis
analysis technique for software architectures—called ATAM—that not only analyzes a software architecture with respect to multiple quality attributes, but explicitly considers the tradeoffs …
The architecture tradeoff analysis method - IEEE Xplore
Aug 14, 1998 · Abstract: This paper presents the Architecture Tradeoff Analysis Method (ATAM), a structured technique for understanding the tradeoffs inherent in the architectures of software …
Architecture Tradeoff Analysis Method (ATAM)
The SEI Architecture Tradeof Analysis Method (ATAM) is the leading method in the area of software architecture evaluation. An evaluation using the ATAM typically takes three to four …
Architecture Tradeoff Analysis MethodSM (ATAMSM)) - UZH
SEI has developed the Architecture Tradeoff Analysis Method (ATAM) over several years. The purpose of ATAM is: to assess the consequences of architectural decision alternatives in light …
The Architecture Tradeoff Analysis Method - SEI Digital Library
Jul 1, 1998 · This paper presents the Architecture Tradeoff Analysis Method (ATAM), a structured technique for understanding the tradeoffs inherent in the architectures of software-intensive …
Architecture tradeoff analysis method (ATAM) - Concise Software
Dec 13, 2017 · The Architecture Tradeoff Analysis Method (ATAM) is a method for evaluating software architectures relative to quality attribute goals. Method evaluations expose …
The System Architecture Tradeoff Analysis Method (SySATAM
The System ATAM is a method that helps stakeholders ask the right questions to discover potentially problematic architectural decisions (risks) Discovered risks can then be made the …
ATAM: Architecture Tradeoff Analysis Method Explained
Learn about the Architecture Tradeoff Analysis Method (ATAM) for evaluating software architectures and identifying risks.
The Architecture Tradeoff Analysis Method - Carnegie …
This paper presents the Architecture Tradeoff Analysis Method (ATAM), a structured technique for understanding the tradeoffs inherent in design. This method was developed to provide a …
ATAM: Method for Architecture Evaluation - SEI Digital Library
Aug 1, 2000 · In this report, we will discuss some of the technical and organizational foundations for performing architectural analysis, and will present the Architecture Tradeoff Analysis …
The ATAM (Architecture Tradeoff Analysis Method)
It is a thorough and comprehensive way to evaluate software architecture. The ATAM is designed to elicit the business goals for the system as well as for the architecture.
Architecture Tradeoff Analysis Method® - ATAM® - DTIC
The ATAM is a method that helps stakeholders ask the right questions to discover potentially problematic architectural decisions. Discovered risks can then be made the focus of mitigation …
Architecture Tradeoff Analysis Initiative
This technical note describes the application of the Architecture Tradeoff Analysis Method (ATAM) in the evaluation of a government-sponsored reference architecture for a ground- based …
Architecture Tradeoff Analysis Method (ATAM) – …
ATAM is a structured approach to evaluating software architectures, developed by the Software Engineering Institute (SEI) at Carnegie Mellon University. It provides a systematic way to …
Architecture tradeoff analysis method - Wikipedia
In software engineering, Architecture Tradeoff Analysis Method (ATAM) is a risk-mitigation process used early in the software development life cycle. ATAM was …
The Architecture Tradeoff Analysis Method - Carnegie Mel…
This paper presents the Architecture Tradeoff Analysis Method (ATAM), a structured tech-nique for understanding the tradeoffs inherent in the architectures of software …
Architecture Tradeoff Analysis Method (ATAM) - GeeksforGeeks
Feb 25, 2024 · This article focuses on discussing the Architecture Tradeoff Analysis Method (ATAM). This Method is a method used to evaluate the quality attributes …
Architecture Tradeoff Analysis Method Collection - SEI Digital Lib…
Feb 14, 2018 · The Architecture Tradeoff Analysis Method (ATAM) is a method for evaluating software architectures relative to quality attribute goals. ATAM evaluations …
Architecture Tradeoff Analysis Method - an overview - ScienceDir…
The Architecture Tradeoff Analysis Method (ATAM) is a rigorous and systematic approach used to evaluate and analyze the risks, trade-offs, and sensitivity points associated with …
