Winner of 2020 PMI David I. Cleland Project Management Literature Award This book is a complete project management toolkit for project leaders in business, research and industry. Projects are approved and financed to generate benefits. Project Management: A Benefit Realisation Approach proposes a complete framework that supports this objective - from project selection and definition, through execution, and beyond implementation of deliverables until benefits are secured. The book is the first to explain the creation of organisational value by suggesting a complete, internally-consistent and theoretically rigorous benefit-focused project management methodology, supported with an analytical technique: benefit engineering. Benefit engineering offers a practical approach to the design and maintenance of an organisation's project portfolio. Building upon the authors' earlier successful book, Project Management for the Creation of Organisational Value, this comprehensively revised and expanded new book contains the addition of new chapters on project realisation. The book offers a rigorous explanation of how benefits emerge from a project. This approach is developed and strengthened - resulting in a completely client-oriented view of a project. Senior executives, practitioners, students and academics will find in this book a comprehensive guide to the conduct of projects, which includes robust models, a set of consistent principles, an integrated glossary, enabling tools, illustrative examples and case studies.

The book is a focused survey on probabilistic program semantics, conceived to tell a coherent story with a uniform notation. It is grouped into three themes: Part I is for 'users' of the techniques who will be developing actual programs; Part II gives mathematical foundations intended for those studying exactly how it was done and how to build semantic structures/models in their own work; and Part III describes a very 'hot' research direction, temporal logic and model checking. Topics and features: - introduces readers to very up-to-date research in the mathematics of rigorous development of randomized (probabilistic) algorithms- illustrates by example the typical steps necessary in computer science to build a mathematical model of any programming paradigm- presents results of a large and integrated body of research in the area of 'quantitative' program logics. An advanced research survey monograph, integrating three major topic areas.

This is the first book to seriously address the disconnection between nimble Agile teams and other groups in the enterprise, including enterprise architecture, the program management office (PMO), human resources, and even business executives. When an enterprise experiments with practice improvements, software development teams often jump on board with excitement, while other groups are left to wonder how they will fit in. We address how these groups can adapt to Agile teams. More importantly, we show how many Agile teams cause their own problems, damaging scalability and sustainability, by requiring special treatment, and by failing to bridge the gaps between themselves and other groups. We call this phenomenon "Agile illth." Adopting a set of "best practices" is not enough. All of us, Agile teams and the corporate groups, must change our intentions and worldviews to be more compatible with the success of the enterprise. Join us on the journey to enterprise agility. It is a crooked path, fraught with danger, confusion and complexity. It is the only way to reach the pinnacles we hope to experience in the form of better business value delivered faster for less cost.

Declining test scores, burgeoning drop-out rates, poor showings in international comparisons-the malaise of public education seems to grow everyday. In this context, technology has emerged as one of the hopes of a renewed educational enterprise. Yet modern information-processing technologies have proved far from a panacea for the ills of education. Software Goes to School describes why that is the case in its consideration of three broad themes. The first part of the book addresses the question of what it means to understand. What constitutes understanding something? What are our principle resources in teaching for understanding? The second part of the book focuses front and centre on what technology can offer in teaching for understanding. Individual chapters examine how technologies afford new ways of representing complex concepts and make available new means by which students can manipulate abstract entities in a "hands-on" way. The last part of the book discusses the complexities of realistic educational settings, explores what happens when technology-based innovations are introduced, and examines the means by which a pedagogy of understanding can take root and thrive. Authored by an eminent group of researchers, this book offers numerous practical guidelines on how computers and software can work together for the betterment of the teaching process. Students and professionals in educational psychology, developmental psychology, and educational computing-as well as concerned parents-will want to read this stimulating new work.

Model-Driven Software Development (MDSD) is currently a highly regarded development paradigm among developers and researchers. With the advent of OMG's MDA and Microsoft's Software Factories, the MDSD approach has moved to the centre of the programmer's attention, becoming the focus of conferences such as OOPSLA, JAOO and OOP.
MDSD is about using domain-specific languages to create models that express application structure or behaviour in an efficient and domain-specific way. These models are subsequently transformed into executable code by a sequence of model transformations.
This practical guide for software architects and developers is peppered with practical examples and extensive case studies. International experts deliver:
* A comprehensive overview of MDSD and how it relates to industry standards such as MDA and Software Factories.
* Technical details on meta modeling, DSL construction, model-to-model and model-to-code transformations, and software architecture.
* Invaluable insight into the software development process, plus engineering issues such as versioning, testing and product line engineering.
* Essential management knowledge covering economic and organizational topics, from a global perspective.
Get started and benefit from some practical support along the way

As we entered the 21st century, the rapid growth of information technology has changed our lives more conveniently than we have ever speculated. Recently in all fields of the industry, heterogeneous technologies have converged with information technology resulting in a new paradigm, information technology convergence. In the process of information technology convergence, the latest issues in the structure of data, system, network, and infrastructure have become the most challenging task. Proceedings of the International Conference on IT Convergence and Security 2011 approaches the subject matter with problems in technical convergence and convergences of security technology by looking at new issues that arise from techniques converging. The general scope is convergence security and the latest information technology with the following most important features and benefits: 1. Introduction of the most recent information technology and its related ideas 2. Applications and problems related to technology convergence, and its case studies 3. Introduction of converging existing security techniques through convergence security Overall, after reading Proceedings of the International Conference on IT Convergence and Security 2011, readers will understand the most state of the art information strategies and technologies of convergence security.

Base stations developed according to the 3GPP Long Term Evolution (LTE) standard require unprecedented processing power. 3GPP LTE enables data rates beyond hundreds of Mbits/s by using advanced technologies, necessitating a highly complex LTE physical layer. The operating power of base stations is a significant cost for operators, and is currently optimized using state-of-the-art hardware solutions, such as heterogeneous distributed systems. The traditional system design method of porting algorithms to heterogeneous distributed systems based on test-and-refine methods is a manual, thus time-expensive, task.

"Physical Layer Multi-Core Prototyping: A Dataflow-Based Approach" provides a clear introduction to the 3GPP LTE physical layer and to dataflow-based prototyping and programming. The difficulties in the process of 3GPP LTE physical layer porting are outlined, with particular focus on automatic partitioning and scheduling, load balancing and computation latency reduction, specifically in systems based on heterogeneous multi-core Digital Signal Processors. Multi-core prototyping methods based on algorithm dataflow modeling and architecture system-level modeling are assessed with the goal of automating and optimizing algorithm porting.

With its analysis of physical layer processing and proposals of parallel programming methods, which include automatic partitioning and scheduling, "Physical Layer Multi-Core Prototyping: A Dataflow-Based Approach" is a key resource for researchers and students. This study of LTE algorithms which require dynamic or static assignment and dynamic or static scheduling, allows readers to reassess and expand their knowledge of this vital component of LTE base station design.

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Solid requirements engineering has increasingly been recognized as the key to improved, on-time, and on-budget delivery of software and systems projects. New software tools are emerging that are empowering practicing engineers to improve their requirements engineering habits. However, these tools are not usually easy to use without significant training. Requirements Engineering for Software and Systems, Fourth Edition is intended to provide a comprehensive treatment of the theoretical and practical aspects of discovering, analyzing, modeling, validating, testing, and writing requirements for systems of all kinds, with an intentional focus on software-intensive systems. It brings into play a variety of formal methods, social models, and modern requirements writing techniques to be useful to practicing engineers. The book is intended for professional software engineers, systems engineers, and senior and graduate students of software or systems engineering. Since the first edition, there have been made many changes and improvements to this textbook. Feedback from instructors, students, and corporate users was used to correct, expand, and improve the materials. The fourth edition features two newly added chapters: "On Non-Functional Requirements" and "Requirements Engineering: Road Map to the Future." The latter provides a discussion on the relationship between requirements engineering and such emerging and disruptive technologies as Internet of Things, Cloud Computing, Blockchain, Artificial Intelligence, and Affective Computing. All chapters of the book were significantly expanded with new materials that keep the book relevant to current industrial practices. Readers will find expanded discussions on new elicitation techniques, agile approaches (e.g., Kanpan, SAFe, and DEVOps), requirements tools, requirements representation, risk management approaches, and functional size measurement methods. The fourth edition also has significant additions of vignettes, exercises, and references. Another new feature is scannable QR codes linked to sites containing updates, tools, videos, and discussion forums to keep readers current with the dynamic field of requirements engineering.

This book will focus on utilizing statistical modelling of the software source code, in order to resolve issues associated with the software development processes. Writing and maintaining software source code is a costly business; software developers need to constantly rely on large existing code bases. Statistical modelling identifies the patterns in software artifacts and utilize them for predicting the possible issues.

Multi-agent systems are claimed to be especially suited to the development of software systems that are decentralized, can deal flexibly with dynamic conditions, and are open to system components that come and go. This is why they are used in domains such as manufacturing control, automated vehicles, and e-commerce markets. Danny Weyns' book is organized according to the postulate that "developing multi-agent systems is 95% software engineering and 5% multi-agent systems theory." He presents a software engineering approach for multi-agent systems that is heavily based on software architecture - with, for example, tailored patterns such as "situated agent," "virtual environment," and "selective perception" - and on middleware for distributed coordination - with programming abstractions such as "views" and "roles." Next he shows the feasibility and applicability of this approach with the development of an automated transportation system consisting of a number of automatic guided vehicles transporting loads in an industrial setting. Weyns puts the development of multi-agent systems into a larger perspective with traditional software engineering approaches. With this, he opens up opportunities to exploit the body of knowledge developed in the multi-agent systems community to tackle some of the difficult challenges of modern-day software systems, such as decentralized control, location-awareness, self-adaption, and large-scale. Thus his book is of interest for both researchers and industrial software engineers who develop applications in areas such as distributed control systems and mobile applications where such requirements are of crucial importance.

Prototyping and user testing is the best way to create successful products, but many designers skip this important step and use gut instinct instead. By explaining the goals and methodologies behind prototyping-and demonstrating how to prototype for both physical and digital products-this practical guide helps beginning and intermediate designers become more comfortable with creating and testing prototypes early and often in the process. Author Kathryn McElroy explains various prototyping methods, from fast and dirty to high fidelity and refined, and reveals ways to test your prototypes with users. You'll gain valuable insights for improving your product, whether it's a smartphone app or a new electronic gadget. Learn similarities and differences between prototyping for physical and digital products Know what fidelity level is needed for different prototypes Get best practices for prototyping in a variety of mediums, and choose which prototyping software or components to use Learn electronics prototyping basics and resources for getting started Write basic pseudocode and translate it into usable code for Arduino Conduct user tests to gain insights from prototypes

Everything You Need to Know and Do to Coach Your Agile Project Team to Success As an agile coach, you can help project teams become outstanding at agile development, creating products that make them proud and helping organizations reap the powerful benefits of teams that deliver both innovation and excellence. More and more frequently, ScrumMasters and project managers are being asked to coach agile teams. However, the role of coach is a challenging one that often doesn't exist in traditional application development. Migrating from command and control to agile coaching requires new skills and a whole new mindset. In Coaching Agile Teams, leading agile coach Lyssa Adkins helps you master both so you can guide your agile teams to extraordinary performance. This practical book is packed with ideas, best practices, and checklists you can start using immediately. All of it reflects Adkins's own hard-won experience transitioning to agile coaching from traditional, large-scale project management, including the remarkable lessons she's learned from the teams she's worked with.You'll gain deep insight into the role of the agile coach, discover what works and what doesn't, and learn how to adapt powerful skills from the fields of professional coaching and mentoring. Coverage includes *Understanding what it takes to be a great agile coach*Mastering all of the agile coach's roles: teacher, mentor, problem solver, conflict navigator, and performance coach*Moving from agile team member or project leader to coach*Creating an environment where self-organized, high-performance teams can emerge*Coordinating collaboration *Evolving your leadership style as your team grows and changes*Staying actively engaged without dominating your team and stunting its growth*Operating in failure, recovery, and success modes*Getting the most out of your own personal agile coaching journey Whether you're an agile coach, leader, trainer, mentor, facilitator, ScrumMaster, project manager, product owner, or team member, this book will help you become skilled at helping others become truly great. What could possibly be more rewarding?

Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in computer hardware, software, theory, design, and applications. It has also provided contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles usually allow. As a result, many articles have become standard references that continue to be of significant, lasting value in this rapidly expanding field.

"Helps explain some of the knowledge gaps between enthusiastic new graduates and grouchy old gray beards like myself." - Joe Ivans Practical techniques for writing code that is robust, reliable, and easy for team members to understand and adapt. Good code or bad code? The difference often comes down to how you apply the conventions, style guides, and other established practices of the software development community. In Good Code, Bad Code you'll learn how to boost your effectiveness and productivity with code development insights normally only learned through years of experience, careful mentorship, and hundreds of code reviews. In Good Code, Bad Code you'll learn how to: - Think about code like an effective software engineer - Write functions that read like a well-structured sentence - Ensure code is reliable and bug free - Effectively unit test code - Identify code that can cause problems and improve it - Write code that is reusable and adaptable to new requirements - Improve your medium and long-term productivity - Save you and your team's time about the technology Coding in a development team requires very different skills to working on personal projects. Successful software engineers need to ensure that their code is reusable, maintainable, and easy for others to understand and adapt. about the book Good Code, Bad Code is a shortcut guide to writing high-quality code. Your mentor is Google veteran Tom Long, who lays out lessons and mindsets that will take your code from "junior developer" to "senior engineer." This instantly-useful book distils the principles of professional coding into one comprehensive and hands-on beginner's guide. You'll start with a jargon-free primer to coding fundamentals that teaches you to think about abstractions, consider your fellow engineers, and write code that can recover from errors. Next, you'll dive into specific techniques and practices. You'll run through common coding practices to learn when to apply the right technique to your problem-and which might be best avoided! All practices are illustrated with annotated code samples written in an instantly recognizable pseudocode that you can relate to your favourite object-oriented language. By the time you're done, you'll be writing the kind of readable, reusable, and testable code that's the mark of a true software professional. about the reader For coders looking to improve their experience in professional software development. about the author Tom Long is a software engineer at Google. He works as a tech lead, mentoring and teaching professional coding practices to new graduates and beginner software engineers.

We're losing hundreds of billions of dollars a year on broken software, and great new ideas such as agile development and Scrum don't always pay off. But there's hope. The nine software development practices in Beyond Legacy Code are designed to solve the problems facing our industry. Discover why these practices work, not just how they work, and dramatically increase the quality and maintainability of any software project. These nine practices could save the software industry. Beyond Legacy Code is filled with practical, hands-on advice and a common-sense exploration of why technical practices such as refactoring and test-first development are critical to building maintainable software. Discover how to avoid the pitfalls teams encounter when adopting these practices, and how to dramatically reduce the risk associated with building software--realizing significant savings in both the short and long term. With a deeper understanding of the principles behind the practices, you'll build software that's easier and less costly to maintain and extend.By adopting these nine key technical practices, you'll learn to say what, why, and for whom before how; build in small batches; integrate continuously; collaborate; create CLEAN code; write the test first; specify behaviors with tests; implement the design last; and refactor legacy code. Software developers will find hands-on, pragmatic advice for writing higher quality, more maintainable, and bug-free code. Managers, customers, and product owners will gain deeper insight into vital processes. By moving beyond the old-fashioned procedural thinking of the Industrial Revolution, and working together to embrace standards and practices that will advance software development, we can turn the legacy code crisis into a true Information Revolution.

This book constitutes the refereed proceedings of the Third IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2012, held in Costa de Caparica, Portugal, in February 2012. The 65 revised full papers were carefully reviewed and selected from numerous submissions. They cover a wide spectrum of topics ranging from collaborative enterprise networks to microelectronics. The papers are organized in topical sections on collaborative systems, service orientation, knowledge and content management, human interaction, Petri nets, smart systems, robotic systems, perceptional systems, signal processing, energy, renewable energy, energy smart grid, power electronics, electronics, optimization in electronics, telecommunications and electronics, and electronic materials. The book also includes papers from the Workshop on Data Anaylsis and Modeling Retina in Health and Disease.

An Approach to Modelling Software Evolution Processes describes formal software processes that effectively support software evolution. The importance and popularity of software evolution increase as more and more successful software systems become legacy systems. For one thing, software evolution has become an important characteristic in the software life cycle; for another, software processes play an important role in increasing efficiency and quality of software evolution. Therefore, the software evolution process, the inter-discipline of software process and software evolution, becomes a key area in software engineering.

The book is intended for software engineers and researchers in computer science.

Prof. Tong Li earned his Ph.D. in Software Engineering at De Montfort University, U.K.; he has published five monographs and over one hundred papers.

Modern-day projects require software and systems engineers to work together in realizing architectures of large and complex software-intensive systems. To date, the two have used their own tools and methods to deal with similar issues when it comes to the requirements, design, testing, maintenance, and evolution of these architectures. Software and Systems Architecture in Action explores practices that can be helpful in the development of architectures of large-scale systems in which software is a major component. Examining the synergies that exist between the disciplines of software and systems engineering, it presents concepts, techniques, and methods for creating and documenting architectures. The book describes an approach to architecture design that is driven from systemic quality attributes determined from both the business and technical goals of the system, rather than just its functional requirements. This architecture-centric design approach utilizes analytically derived patterns and tactics for quality attributes that inform the architect's design choices and help shape the architecture of a given system. The book includes coverage of techniques used to assess the impact of architecture-centric design on the structural complexity of a system. After reading the book, you will understand how to create architectures of systems and assess their ability to meet the business goals of your organization. Ideal for anyone involved with large and complex software-intensive systems, the book details powerful methods for engaging the software and systems engineers on your team. The book is also suitable for use in undergraduate and graduate-level courses on software and systems architecture as it exposes students to the concepts and techniques used to create and manage architectures of software-intensive systems.

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments. The book begins by discussing the basic concepts and tools of large-scale Big Data processing and cloud computing. It also provides an overview of different programming models and cloud-based deployment models. The book's second section examines the usage of advanced Big Data processing techniques in different domains, including semantic web, graph processing, and stream processing. The third section discusses advanced topics of Big Data processing such as consistency management, privacy, and security. Supplying a comprehensive summary from both the research and applied perspectives, the book covers recent research discoveries and applications, making it an ideal reference for a wide range of audiences, including researchers and academics working on databases, data mining, and web scale data processing. After reading this book, you will gain a fundamental understanding of how to use Big Data-processing tools and techniques effectively across application domains. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques.

"For software developers of all experience levels looking to improve their results, and design and implement domain-driven enterprise applications consistently with the best current state of professional practice, Implementing Domain-Driven Design will impart a treasure trove of knowledge hard won within the DDD and enterprise application architecture communities over the last couple decades." -Randy Stafford, Architect At-Large, Oracle Coherence Product Development "This book is a must-read for anybody looking to put DDD into practice." -Udi Dahan, Founder of NServiceBus Implementing Domain-Driven Design presents a top-down approach to understanding domain-driven design (DDD) in a way that fluently connects strategic patterns to fundamental tactical programming tools. Vaughn Vernon couples guided approaches to implementation with modern architectures, highlighting the importance and value of focusing on the business domain while balancing technical considerations. Building on Eric Evans' seminal book, Domain-Driven Design, the author presents practical DDD techniques through examples from familiar domains. Each principle is backed up by realistic Java examples-all applicable to C# developers-and all content is tied together by a single case study: the delivery of a large-scale Scrum-based SaaS system for a multitenant environment. The author takes you far beyond "DDD-lite" approaches that embrace DDD solely as a technical toolset, and shows you how to fully leverage DDD's "strategic design patterns" using Bounded Context, Context Maps, and the Ubiquitous Language. Using these techniques and examples, you can reduce time to market and improve quality, as you build software that is more flexible, more scalable, and more tightly aligned to business goals. Coverage includes Getting started the right way with DDD, so you can rapidly gain value from it Using DDD within diverse architectures, including Hexagonal, SOA, REST, CQRS, Event-Driven, and Fabric/Grid-Based Appropriately designing and applying Entities-and learning when to use Value Objects instead Mastering DDD's powerful new Domain Events technique Designing Repositories for ORM, NoSQL, and other databases

Written by two very experienced instructors, with more than thirty years of teaching experience between them; Presents material that is grounded in practical applications that are representative of the problems researchers encounter in real life; Teaches readers the core features of modern JavaScript; Covers programming with callbacks and promises; Describes how to build data services and data visualization;

Most organizations with a web presence build and operate APIs; the doorway for customers to interact with the company's services. Designing, building, and managing these critical programs affect everyone in the organization, from engineers and product owners to C-suite executives. But the real challenge for developers and solution architects is creating an API platform from the ground up. With this practical book, you'll learn strategies for building and testing REST APIs that use API gateways to combine offerings at the microservice level. Authors James Gough, Daniel Bryant, and Matthew Auburn demonstrate how simple additions to this infrastructure can help engineers and organizations migrate to the cloud; and open the opportunity to connect internal services using technologies like a service mesh. Learn API fundamentals and architectural patterns for building an API platform Explore evolving trends such as asynchronous and streaming APIs Help drive your API program by performing an informed architectural role Build and configure key components of an API platform Deploy gateways and service meshes based on case studies Understand core security and vulnerabilities in API architecture Secure data and services using OAuth 2.0, TLS, and web application firewalls

As the complexity of today s networked computer systems grows, they become increasingly difficult to understand, predict, and control. Addressing these challenges requires new approaches to building these systems. Adaptive, Dynamic, and Resilient Systems supplies readers with various perspectives of the critical infrastructure that systems of networked computers rely on. It introduces the key issues, describes their interrelationships, and presents new research in support of these areas.
The book presents the insights of a different group of international experts in each chapter. Reporting on recent developments in adaptive systems, it begins with a survey of application fields. It explains the requirements of such fields in terms of adaptation and resilience. It also provides some abstract relationship graphs that illustrate the key attributes of distributed systems to supply you with a better understanding of these factors and their dependencies.
The text examines resilient adaptive systems from the perspectives of mobile, infrastructure, and enterprise systems and protecting critical infrastructure. It details various approaches for building adaptive, dynamic, and resilient systems including agile, grid, and autonomic computing; multi-agent-based and biologically inspired approaches; and self-organizing systems.
The book includes many stories of successful applications that illustrate a diversified range of cutting-edge approaches. It concludes by covering related topics and techniques that can help to boost adaptation and resilience in your systems."

Whether you need a new tool or just inspiration, "Seven Web Frameworks in Seven Weeks" explores modern options, giving you a taste of each with ideas that will help you create better apps. You'll see frameworks that leverage modern programming languages, employ unique architectures, live client-side instead of server-side, or embrace type systems. You'll see everything from familiar Ruby and JavaScript to the more exotic Erlang, Haskell, and Clojure. The rapid evolution of web apps demands innovative solutions: this survey of frameworks and their unique perspectives will inspire you and get you thinking in new ways to meet the challenges you face daily. This book covers seven web frameworks that are influencing modern web applications and changing web development: Sinatra, CanJS, AngularJS, Ring, Webmachine, Yesod, Immutant. Each of these web frameworks brings unique and powerful ideas to bear on building apps. Embrace the simplicity of Sinatra, which sheds the trappings of large frameworks and gets back to basics with Ruby. Live in the client with CanJS, and create apps with JavaScript in the browser. Be declarative with AngularJS; say what you want, not how to do it, with a mixture of declarative HTML and JavaScript. Turn the web into data with Ring, and use Clojure to make data your puppet. Become a master of advanced HTTP with Webmachine, and focus the power of Erlang. Prove web theorems with Yesod; see how Haskell's advanced type system isn't just for academics. Develop in luxury with Immutant, an enlightened take on the enterprise framework."Seven Web Frameworks" will influence your work, no matter which framework you currently use. Welcome to a wider web.What You Need: You'll need Windows, MacOS X or Linux, along with your favorite web browser. Each chapter will cover what you need to download and which language versions are required.

Essential comprehensive coverage of the fundamentals of requirements engineering

Requirements engineering (RE) deals with the variety of prerequisites that must be met by a software system within an organization in order for that system to produce stellar results. With that explanation in mind, this must-have book presents a disciplined approach to the engineering of high-quality requirements. Serving as a helpful introduction to the fundamental concepts and principles of requirements engineering, this guide offers a comprehensive review of the aim, scope, and role of requirements engineering as well as best practices and flaws to avoid. Shares state-of-the-art techniques for domain analysis, requirements elicitation, risk analysis, conflict management, and moreFeatures in-depth treatment of system modeling in the specific context of engineering requirementsPresents various forms of reasoning about models for requirements quality assuranceDiscusses the transitions from requirements to software specifications to software architecture

In addition, case studies are included that complement the many examples provided in the book in order to show you how the described method and techniques are applied in practical situations.