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Books > Computing & IT > Computer programming > Software engineering
As the embedded world expands, developers must have a strong grasp of many complex topics in order to make faster, more efficient and more powerful microprocessors to meet the public s growing demand. Embedded Software: The Works covers all the key subjects embedded engineers need to understand in order to succeed, including Design and Development, Programming, Languages including C/C++, and UML, Real Time Operating Systems Considerations, Networking, and much more. New material on Linux, Android, and multi-core gives engineers the up-to-date practical know-how they need in order to succeed. Colin Walls draws upon his experience and insights from working in the industry, and covers the complete cycle of embedded software development: its design, development, management, debugging procedures, licensing, and reuse. For those new to the field, or for experienced engineers looking to expand their skills, Walls provides the reader with detailed tips and techniques, and rigorous explanations of technologies. Key features include: New chapters on Linux, Android, and multi-core - the cutting edge of embedded software development Introductory roadmap guides readers through the book, providing a route through the separate chapters and showing how they are linked Accompanying source code and PowerPoint slides provide helpful training material and real-world experience for readers About the Author Colin Walls has over twenty-five years experience in the
electronics industry, largely dedicated to embedded software. A
frequent presenter at conferences and seminars and author of
numerous technical articles and two books on embedded software, he
is a member of the marketing team of the Mentor Graphics Embedded
Software Division. He writes a regular blog on the Mentor website
(blogs.mentor.com/colinwalls).
A unique guide to the design and implementation of simulation software This book offers a concise introduction to the art of building simulation software, collecting the most important concepts and algorithms in one place. Written for both individuals new to the field of modeling and simulation as well as experienced practitioners, this guide explains the design and implementation of simulation software used in the engineering of large systems while presenting the relevant mathematical elements, concept discussions, and code development. The book approaches the topic from the perspective of Zeigler's theory of modeling and simulation, introducing the theory's fundamental concepts and showing how to apply them to engineering problems. Readers will learn five necessary skills for building simulations of complicated systems: Working with fundamental abstractions for simulating dynamic systemsDeveloping basic simulation algorithms for continuous and discrete event modelsCombining continuous and discrete event simulations into a coherent wholeApplying strategies for testing a simulationUnderstanding the theoretical foundations of the modeling constructs and simulation algorithms The central chapters of the book introduce, explain, and demonstrate the elements of the theory that are most important for building simulation tools. They are bracketed by applications to robotics, control and communications, and electric power systems; these comprehensive examples clearly illustrate how the concepts and algorithms are put to use. Readers will explore the design of object-oriented simulation programs, simulation using multi-core processors, and the integration of simulators into larger software systems. The focus on software makes this book particularly useful for computer science and computer engineering courses in simulation that focus on building simulators. It is indispensable reading for undergraduate and graduate students studying modeling and simulation, as well as for practicing scientists and engineers involved in the development of simulation tools.
Spring is a massive ecosystem and a must-learn tool for Java developers. Spring Start Here introduces you to Java development with Spring by concentrating on the core concepts you'll use in every application you build. You'll learn how to refactor an existing application to Spring, how to use Spring tools to make SQL database requests and REST calls, and how to secure your projects with Spring Security. Spring Start Here teaches you how to build professional-quality applications using Spring and Spring Boot. You'll start with the core components of the framework and then learn how features like Spring Boot simplify the tedious repetitive tasks you face in every project. When you're done, you'll be able to create Spring apps, secure them with authentication and authorization, and move on to the next exciting steps of your Spring journey. Spring Framework is packed with features to make your applications fast, maintainable, robust and secure. This extensive ecosystem of tools for cloud computing, microservices, and more have made it the de facto choice for building enterprise Java applications.
Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW) and business intelligence (BI) solutions that are business-centric, cross-customer viable, cross-functional, cross-technology based, and enterprise-wide. Considering the entire lifecycle of an open source DW & BI implementation, its comprehensive coverage spans from basic concepts all the way through to customization. Highlighting the key differences between open source and vendor DW and BI technologies, the book identifies end-to-end solutions that are scalable, high performance, and stable. It illustrates the practical aspects of implementing and using open source DW and BI technologies to supply you with valuable on-the-project experience that can help you improve implementation and productivity. Emphasizing analysis, design, and programming, the text explains best-fit solutions as well as how to maximize ROI. Coverage includes data warehouse design, real-time processing, data integration, presentation services, and real-time reporting. With a focus on real-world applications, the author devotes an entire section to powerful implementation best practices that can help you build customer confidence while saving valuable time, effort, and resources.
Twenty years after the first publications and books on enterprise architecture, the domain is evolving from a technology-driven towards a more business-driven approach, thus empowering decision makers to adapt and transform an enterprise in order to keep up with changing business needs. At the same time the discipline of enterprise architecting has matured, leading to a better understanding of the profession of an enterprise architect. With this book, the authors aim to provide an overview of enterprise architecture including the process of creating, applying and maintaining it, thus taking into account the perspectives of CxOs, business managers, enterprise architects, solution architects, designers and engineers. They explore the results that are produced as part of an enterprise architecture, the process by which these are produced, and the role the architect plays in this process. As such, they do not describe a specific method for developing an enterprise (IT) architecture, nor do they define a specific modeling language for enterprise architecture, rather they offer the reader a fundamental way of thinking about enterprise architecture, which will enable him to select and apply the right approach, architecture framework and tools that meet the objective and context of the architecture work at hand. This approach is emphasized by discussion statements at the end of each chapter, sparking thoughts about benefits, shortcomings, and future research directions. Covering both theoretical foundations and practical use, and written in close collaboration between industry professionals and academic lecturers, Enterprise Architecture thus offers an ideal introduction for students in areas like business information systems or management science, as well as guidance and background for professionals seeking a more thorough understanding of their field of work.
The widespread deployment of millions of current and emerging software applications has placed software economic studies among the most critical of any form of business analysis. Unfortunately, a lack of an integrated suite of metrics makes software economic analysis extremely difficult. The International Function Point Users Group (IFPUG), a nonprofit and member-governed organization, has become the recognized leader in promoting the effective management of application software development and maintenance activities. The IFPUG Guide to IT and Software Measurement brings together 52 leading software measurement experts from 13 different countries who share their insights and expertise. Covering measurement programs, function points in measurement, new technologies, and metrics analysis, this volume: Illustrates software measurement's role in new and emerging technologies Addresses the impact of agile development on software measurement Presents measurement as a powerful tool for auditing and accountability Includes metrics for the CIO Edited by IFPUG's Management and Reporting Committee, the text is useful for IT project managers, process improvement specialists, measurement professionals, and business professionals who need to interact with IT professionals and participate in IT decision-making. It includes coverage of cloud computing, agile development, quantitative project management, process improvement, measurement as a tool in accountability, project ROI measurement, metrics for the CIO, value stream mapping, and benchmarking.
Large-Scale Simulation: Models, Algorithms, and Applications gives you firsthand insight on the latest advances in large-scale simulation techniques. Most of the research results are drawn from the authors papers in top-tier, peer-reviewed, scientific conference proceedings and journals. The first part of the book presents the fundamentals of large-scale simulation, including high-level architecture and runtime infrastructure. The second part covers middleware and software architecture for large-scale simulations, such as decoupled federate architecture, fault tolerant mechanisms, grid-enabled simulation, and federation communities. In the third part, the authors explore mechanisms such as simulation cloning methods and algorithms that support quick evaluation of alternative scenarios. The final part describes how distributed computing technologies and many-core architecture are used to study social phenomena. Reflecting the latest research in the field, this book guides you in using and further researching advanced models and algorithms for large-scale distributed simulation. These simulation tools will help you gain insight into large-scale systems across many disciplines.
During the development of an engineered product, developers often need to create an embedded system-a prototype-that demonstrates the operation/function of the device and proves its viability. Offering practical tools for the development and prototyping phases, Embedded Systems Circuits and Programming provides a tutorial on microcontroller programming and the basics of embedded design. The book focuses on several development tools and resources: Standard and off-the-shelf components, such as input/output devices, integrated circuits, motors, and programmable microcontrollers The implementation of circuit prototypes via breadboards, the in-house fabrication of test-time printed circuit boards (PCBs), and the finalization by the manufactured board Electronic design programs and software utilities for creating PCBs Sample circuits that can be used as part of the targeted embedded system The selection and programming of microcontrollers in the circuit For those working in electrical, electronic, computer, and software engineering, this hands-on guide helps you successfully develop systems and boards that contain digital and analog components and controls. The text includes easy-to-follow sample circuits and their corresponding programs, enabling you to use them in your own work. For critical circuits, the authors provide tested PCB files.
The 7 Qualities of Highly Secure Software provides a framework for designing, developing, and deploying hacker-resilient software. It uses engaging anecdotes and analogies-ranging from Aesop's fables, athletics, architecture, biology, nursery rhymes, and video games-to illustrate the qualities that are essential for the development of highly secure software. Each chapter details one of the seven qualities that can make your software highly secure and less susceptible to hacker threats. Leveraging real-world experiences and examples, the book: Explains complex security concepts in language that is easy to understand for professionals involved in management, software development, and operations Specifies the qualities and skills that are essential for building secure software Highlights the parallels between the habits of effective people and qualities in terms of software security Praise for the Book: This will be required reading for my executives, security team, software architects and lead developers.-David W. Stender, CISSP, CSSLP, CAP, CISO of the US Internal Revenue Service Developing highly secure software should be at the forefront of organizational strategy and this book provides a framework to do so.-Troy Leach, CTO, PCI Security Standards Council This book will teach you the core, critical skills needed to raise the security bar on the attackers and swing the game in your favor.-Michael Howard, Principal Cyber Security Program Manager, Microsoft As a penetration tester, my job will be a lot harder as people read this book! -Kevin Johnson, Security Consultant, Secure Ideas
Ecosystems and Technology: Idea Generation and Content Model Processing, presents important new innovations in the area of management and computing. Innovation is the generation and application of new ideas and skills to produce new products, processes, and services that improve economic and social prosperity. This includes management and design policy decisions and encompasses innovation research, analysis, and best practice in enterprises, public and private sector service organizations, government, regional societies and economies. The book, the first volume in the Innovation Management and Computing book series, looks at technology that improves efficiency and idea generation, including systems for business, medical/health, education, and more. The book provides detailed examples to provide readers with current issues, including Venture planning for innovations New technologies supporting innovations systems Competitive business modeling Context-driven innovation modeling The generation of ideas faster The measurement of relevant data Virtual interfaces Business intelligence and content processing Predictive modeling Haptic expression and emotion recognition innovations, with applications to neurocognitive medical science This book provides a wealth of information that will be useful for IT and business professionals, educators, and students in many fields.
In a component-based approach for system design, one of the challenging problems is the way to prove the correctness of the created components. Usually, the constituent components are supposed to be correct - possessing the desirable properties and free from undesirable ones. However, the operators may destroy these properties or create new ones, resulting in an undesirable new component. Hence, every created component has to go through a new process of verification, involving a tremendous amount of effort.This book presents a component -based methodology for the creation and verification of design specifications. The methodology is formally presented as an algebra called Property-Preserving Petri Net Process Algebra (PPPA). PPPA includes five classes of operators, and the authors show that every operator of PPPA can preserve a large number of basic system properties. Therefore, if the initial set of primitive components satisfies some of these properties, the created components will also "automatically" satisfy them without the need for further verification - thus greatly saving verification efforts.
You want increased customer satisfaction, faster development cycles, and less wasted work. Domain-driven design (DDD) combined with functional programming is the innovative combo that will get you there. In this pragmatic, down-to-earth guide, you'll see how applying the core principles of functional programming can result in software designs that model real-world requirements both elegantly and concisely - often more so than an object-oriented approach. Practical examples in the open-source F# functional language, and examples from familiar business domains, show you how to apply these techniques to build software that is business-focused, flexible, and high quality. Domain-driven design is a well-established approach to designing software that ensures that domain experts and developers work together effectively to create high-quality software. This book is the first to combine DDD with techniques from statically typed functional programming. This book is perfect for newcomers to DDD or functional programming - all the techniques you need will be introduced and explained. Model a complex domain accurately using the F# type system, creating compilable code that is also readable documentation---ensuring that the code and design never get out of sync. Encode business rules in the design so that you have "compile-time unit tests," and eliminate many potential bugs by making illegal states unrepresentable. Assemble a series of small, testable functions into a complete use case, and compose these individual scenarios into a large-scale design. Discover why the combination of functional programming and DDD leads naturally to service-oriented and hexagonal architectures. Finally, create a functional domain model that works with traditional databases, NoSQL, and event stores, and safely expose your domain via a website or API. Solve real problems by focusing on real-world requirements for your software. What You Need: The code in this book is designed to be run interactively on Windows, Mac and Linux. You will need a recent version of F# (4.0 or greater), and the appropriate .NET runtime for your platform. Full installation instructions for all platforms at fsharp.org.
Fundamentals of Dependable Computing for Software Engineers presents the essential elements of computer system dependability. The book describes a comprehensive dependability-engineering process and explains the roles of software and software engineers in computer system dependability. Readers will learn:
The author focuses on the actions needed to reduce the rate of failure to an acceptable level, covering material essential for engineers developing systems with extreme consequences of failure, such as safety-critical systems, security-critical systems, and critical infrastructure systems. The text explores the systems engineering aspects of dependability and provides a framework for engineers to reason and make decisions about software and its dependability. It also offers a comprehensive approach to achieve software dependability and includes a bibliography of the most relevant literature. Emphasizing the software engineering elements of dependability, this book helps software and computer engineers in fields requiring ultra-high levels of dependability, such as avionics, medical devices, automotive electronics, weapon systems, and advanced information systems, construct software systems that are dependable and within budget and time constraints.
This edited collection of papers presented at the 18th International Symposium of Biomechanics in Sport, highlights cutting-edge research material on sports biomechanics from many of the leading international academics in the field. The thirty-seven chapters presented are divided into nine sections: * biomechanics of fundamental human movement * modelling, simulation and optimisation * biomechanics of the neuro-musculo-skeletal system * sports injuries, orthopaedics and rehabilitation * the application of electromyography in movement studies * biomechanical analysis of the internal load * methods and instrumentation * training * paediatric and geriatric exercise.
The book is organized around basic principles of software project management: planning and estimating, measuring and controlling, leading and communicating, and managing risk. Introduces software development methods, from traditional (hacking, requirements to code, and waterfall) to iterative (incremental build, evolutionary, agile, and spiral). Illustrates and emphasizes tailoring the development process to each project, with a foundation in the fundamentals that are true for all development methods. Topics such as the WBS, estimation, schedule networks, organizing the project team, and performance reporting are integrated, rather than being relegating to appendices. Each chapter in the book includes an appendix that covers the relevant topics from CMMI-DEV-v1.2, IEEE/ISO Standards 12207, IEEE Standard 1058, and the PMI Body of Knowledge.
With the majority of IT projects being delivered late, over budget, or cancelled altogether, it is clear that traditional project management methodologies do not provide an effective framework for today's IT projects. It is evident that a new Return-on-Investment (ROI) oriented approach is required that focuses on the ROI of a project from its inception. Maximizing Benefits from IT Project Management: From Requirements to Value Delivery provides comprehensive guidelines for determining an accurate ROI before the project has progressed to the point where it's over budget and over-run. It applies an iterative approach to the entire project management life cycle that re-visits the ROI, re-assesses the value delivered, defines the project scope, and allows the project to be planned as successive iterations based on the value delivered. This book details a systematic and simplified approach for effectively and efficiently selecting and evaluating IT projects for your organization. Filled with equations, tables, and figures that facilitate understanding, it explains how to evaluate subsequent success of a project so that it is simpler to manage, more efficient, and yields the ROI estimated at the outset. Using the novel approach outlined in the book, you will be able to deliver value throughout the project life cycle and make sure your projects are delivered on time, on budget, and within the constraints of the resources available.
The examination of social questions is a relatively new development in goegraphy, but social geography has now blossomed into a fully fledged sub-discipline which has in fact influenced significantly all other areas of geography. This book, first published in 1987, presents an overview of recent developments in all the major branches of social geography. As such it provides a valuable introduction to te subject, a review of the latest state of the art and a pointer to future research directions.
Although the precepts of software engineering have been around for decades, the field has failed to keep pace with rapid advancements in computer hardware and software. Modern systems that integrate multiple platforms and architectures, along with the collaborative nature of users who expect an instantaneous global reach via the Internet, require updated software engineering methods. Social Software Engineering: Development and Collaboration with Social Networking examines the field through the spectrum of the social activities that now compose it. Supplying an up-to-date look at this ever-evolving field, it provides comprehensive coverage that includes security, legal, and privacy issues in addition to workflow and people issues. Jessica Keyes, former managing director of R&D for the New York Stock Exchange and noted columnist, correspondent, and author with more than 200 articles published, details the methodology needed to bring mission-critical software projects to successful conclusions. She provides readers with the understanding and tools required to fuse psychology, sociology, mathematics, and the principles of knowledge engineering to develop infrastructures capable of supporting the collaborative applications that today's users require.
Plenty of software testing books tell you how to test well; this one tells you how to do it while decreasing your testing budget. A series of essays written by some of the leading minds in software testing, How to Reduce the Cost of Software Testing provides tips, tactics, and techniques to help readers accelerate the testing process, improve the performance of the test teams, and lower costs. The distinguished team of contributors-that includes corporate test leaders, best paper authors, and keynote speakers from leading software testing conferences-supply concrete suggestions on how to find cost savings without sacrificing outcome. Detailing strategies that testers can immediately put to use to reduce costs, the book explains how to make testing nimble, how to remove bottlenecks in the testing process, and how to locate and track defects efficiently and effectively. Written in language accessible to non-technical executives, as well as those doing the testing, the book considers the latest advances in test automation, ideology, and technology. Rather than present the perspective of one or two experts in software testing, it supplies the wide-ranging perspectives of a team of experts to help ensure your team can deliver a completed test cycle in less time, with more confidence, and reduced costs.
The Reference Model of Open Distributed Processing (RM-ODP) is an international standard that provides a solid basis for describing and building widely distributed systems and applications in a systematic way. It stresses the need to build these systems with evolution in mind by identifying the concerns of major stakeholders and then expressing the design as a series of linked viewpoints. Although RM-ODP has been a standard for more than ten years, many practitioners are still unaware of it. Building Enterprise Systems with ODP: An Introduction to Open Distributed Processing offers a gentle pathway to the essential ideas that constitute ODP and shows how these ideas can be applied when designing and building challenging systems. It provides an accessible introduction to the design principles for software engineers and enterprise architects. The book also explains the benefits of using viewpoints to produce simpler and more flexible designs and how ODP can be applied to service engineering, open enterprise, and cloud computing. The authors include guidelines for using the Unified Modeling Language (TM) (UML) notation and for structuring and writing system specifications. They elucidate how this fits into the model-driven engineering tool chain via approaches, such as Model-Driven Architecture (R) (MDA). They also demonstrate the power of RM-ODP for the design and organization of complex distributed IT systems in e-government, e-health, and energy and transportation industries. All concepts and ideas in the book are illustrated through a single running example that describes the IT support needed by a medium-sized company as it grows and develops. Complete UML models and more are available at http://theodpbook.lcc.uma.es/
This book focuses on metamodelling as a discipline, exploring its foundations, techniques and results. It presents a comprehensive metamodel that covers process, product and quality issues under a common framework. Issues covered include: An explanation of what metamodelling is and why it is necessary in the context of software engineering. Basic concepts and principles of traditional metamodelling, and some existing results of this approach. Problems associated with traditional approaches to Metamodelling are discussed, alongside an exploration of possible solutions and alternative approaches. Advanced topics such as the extension of the object-oriented paradigm for metamodelling purposes or the foundations of powertype-based tool development will be studied. Finally, a comprehensive case study is introduced and developed, showing how to use many of the concepts explained in the previous chapters. This book provides a comprehensive conceptual framework for metamodelling and includes case studies and exercises which will demonstrate practical uses of metamodelling. For lecturers and educators, the book provides a layered repository of contents, starting from the basics of metamodelling in the first chapters, through specific issues such as trans-layer control or non-strict approaches, up to advanced topics such as universal powertyping or extensions to the object-oriented paradigm. The book also serves as an in-depth reference guide to features and technologies to consider when developing in-house software development methods or customising and adopting off-the-shelf ones. Software tool developers and vendors can benefit from the book by finding in it a comprehensive guide tothe implementation of frameworks and toolsets for computer-aided software modelling and development.
This book focuses on the topic of improving software quality using adaptive control approaches. As software systems grow in complexity, some of the central challenges include their ability to self-manage and adapt at run time, responding to changing user needs and environments, faults, and vulnerabilities. Control theory approaches presented in the book provide some of the answers to these challenges.The book weaves together diverse research topics (such as requirements engineering, software development processes, pervasive and autonomic computing, service-oriented architectures, on-line adaptation of software behavior, testing and QoS control) into a coherent whole.Written by world-renowned experts, this book is truly a noteworthy and authoritative reference for students, researchers and practitioners to better understand how the adaptive control approach can be applied to improve the quality of software systems. Book chapters also outline future theoretical and experimental challenges for researchers in this area.
An authoritative guide that explores in depth the cultural, technological and methodological concerns to practice three-timezone (3TZ) e-learning in educational contexts. It is important from a pedagogical and practical perspective to impart educational methods and tools that will enable students to be ready for the interconnected, cross-collaborative work environment advocated by modern business practice. The 'local is global' paradigm provides the platform on which students are able to effectively build their knowledge repertoire through the interaction and exchange of project tasks amongst local/global teams, where the traditional barriers of time and location are no longer applicable. The situational and social learning dimensions gained from the explored issues covered in the book will provide a greater awareness to the reader for the need for teaching practice for the '3TZ' enabled workforce. Contents * Teaching Practice-based Subjects in 3 Time Zones (3TZ) Virtual Student Exchange (VSX) Environment * Collaborative Team Project Management * Toward the 24-Hour Knowledge Factory in Software Development * 24/7 Application in Medical Research * Worldwide Teams in Software Development * Virtual Student Exchange: Developing New Educational Paradigms to Support 24-7 Engineering * Data and Knowledge-Transfer Model for the Development of Software Requirements analysis CASE Tools designed for Cross-Time-Zone Projects.
Designed to conform to the ISO/IEC standard 14143, the Common Software Measurement International Consortium (COSMIC) Function Point method has become the major estimation technique based on international standards for building software-intensive systems. COSMIC Function Points: Theory and Advanced Practices supplies a cutting-edge look at current and emerging practices in the international software measurement community. The editors have assembled an international panel of experts who detail the steps for measuring the functional size of software and developing project estimates with improved accuracy. They explain how to evaluate and compare systems to improve software reuse and development. Touching on the essential aspects of the next generation of functional size measurement methods, the book delineates best estimation and measurement practices as well as the development of benchmarks for quality improvement, including Six Sigma. This complete resource covers software measurement and estimation methods and practices for embedded systems, business applications, communications software, and control systems. Each chapter supplies the practical understanding required to create, implement, standardize, distribute, and adapt functional size measurement and project estimation to virtually any software context. Praise for: ... an excellent overview ... provides a strong knowledge background for both practitioners and researchers. ... With its broad background, it is useful for practically implementing and successfully adapting other functional sizing methods ... . The COSMIC function point techniques presented in this book will help you to implement, master, and improve your estimation process.-Christof Ebert, Managing Director, Vector Consulting Services
The latest work by the world's leading authorities on the use of formal methods in computer science is presented in this volume, based on the 1995 International Summer School in Marktoberdorf, Germany. Logic is of special importance in computer science, since it provides the basis for giving correct semantics of programs, for specification and verification of software, and for program synthesis. The lectures presented here provide the basic knowledge a researcher in this area should have and give excellent starting points for exploring the literature. Topics covered include semantics and category theory, machine based theorem proving, logic programming, bounded arithmetic, proof theory, algebraic specifications and rewriting, algebraic algorithms, and type theory. |
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