1. Provides a toolkit of templates for common VR interactions, as well as practical advice on when to use them and how to tailor them for specific use cases; 2. Includes case studies detailing the practical application of interaction theory discussed in each chapter; 3. Presents tables of guidelines for practicing VR developers, for reference during software development; 4. Covers procedures for Interface Evaluation - formulas and testing methodologies to ensure that VR interfaces are effective, efficient, engaging, error-tolerant, and easy to learn; 5. Non-linear organisation - chapters of the book on different concepts can be read to gain knowledge on a single topic, without requiring other chapters to be read beforehand; 6. Includes ancillaries - PowerPoint slides, 3D models, videos, and a teacher's guide

When it comes to data analytics, it pays tothink big. PySpark blends the powerful Spark big data processing engine withthe Python programming language to provide a data analysis platform that can scaleup for nearly any task. Data Analysis with Python and PySpark is yourguide to delivering successful Python-driven data projects. Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale. This clear and hands-on guide shows you how to enlarge your processing capabilities across multiple machines with data from any source, ranging from Had oop-based clusters to Excel worksheets. You'll learn how to break down big analysis tasks into manageable chunks and how to choose and use the best PySpark data abstraction for your unique needs. The Spark data processing engine is an amazing analytics factory: raw data comes in,and insight comes out. Thanks to its ability to handle massive amounts of data distributed across a cluster, Spark has been adopted as standard by organizations both big and small. PySpark, which wraps the core Spark engine with a Python-based API, puts Spark-based data pipelines in the hands of programmers and data scientists working with the Python programming language. PySpark simplifies Spark's steep learning curve, and provides a seamless bridge between Spark and an ecosystem of Python-based data science tools.

This updated and completely revised edition of a bestseller extends the concepts and considerations of modern project management into the realm of project management oversight, control, and support. Illustrating the implications of project management in today's organizations, The Complete Project Management Office Handbook, Third Edition explains how to use the project management office (PMO) as a business integrator to influence project outcomes in a manner that serves both project and business management interests. Helping you determine if a PMO is right for your organization, this edition presents a five-stage PMO competency continuum to help you understand how to develop PMOs at different competency levels and associated functionalities. It also identifies five progressive PMO development levels to help you identify which level is best for your organization. Updates to this edition include: A refinement of the 20 PMO functions that guide PMO setup and operations A new section that provides an effective evaluation of PMO maturity indicators based on the prescribed 20 PMO functions presented in the handbook A new section on Establishing a Project Management Office that details a comprehensive process for determining the needs, purpose, and functionality for a new PMO Best practices that have cross-industry value and applicability The book includes checklists, detailed process steps, and descriptive guidance for developing PMO functional capability. The up-to-date PMO model defined will not only help you better understand business practices in project management, but will also help you to adapt and integrate those practices into the project management environment in your organization. For anyone associated with start-up and smaller PMOs, the book explains what can be done to create less rigorous PMO functional capabilities. It also includes helpful insights for those who need to specify and demonstrate "quick-wins" and early PMO-based accomplishments in their organization.

"Ontology-based Application Integration" introduces UI-level (User Interface Level) application integration and discusses current problems which can be remedied by using ontologies. It shows a novel approach for applying ontologies in system integration. While ontologies have been used for integration of IT systems on the database and on the business logic layer, integration on the user interface layer is a novel field of research. This book also discusses how end users, not only developers, can benefit from semantic technologies.

"Ontology-based Application Integration" presents the development of a software framework including a detailed ontology about user interfaces and interactions. This includes a running case study of a real world integrated emergency management system. The last section of this book discusses useful features that can be built on top of the framework for improving the user experience with future integrated information systems.

"Ontology-based Application Integration" is designed as a reference book for practitioners and researchers who understand and work with the principles of applying semantic web technologies to a software engineering problem. This book will also make an excellent reference or secondary text book for advanced-level students concentrating on computer science.

"Software Engineering: Architecture-driven Software Development" is the first comprehensive guide to the underlying skills embodied in the IEEE's Software Engineering Body of Knowledge (SWEBOK) standard. Standards expert Richard Schmidt explains the traditional software engineering practices recognized for developing projects for government or corporate systems.

Software engineering education often lacks standardization, with many institutions focusing on implementation rather than design as it impacts product architecture. Many graduates join the workforce with incomplete skills, leading to software projects that either fail outright or run woefully over budget and behind schedule.

Additionally, software engineers need to understand system engineering and architecture the hardware and peripherals their programs will run on. This issue will only grow in importance as more programs leverage parallel computing, requiring an understanding of the parallel capabilities of processors and hardware. This book gives both software developers and system engineers key insights into how their skillsets support and complement each other. With a focus on these key knowledge areas, "Software Engineering "offers a set of best practices that can be applied to any industry or domain involved in developing software products.
A thorough, integrated compilation on the engineering of software products, addressing the majority of the standard knowledge areas and topics Offers best practices focused on those key skills common to many industries and domains that develop software Learn how software engineering relates to systems engineering for better communication with other engineering professionals within a project environment"

This book explains in detail how to define requirements modelling languages - formal languages used to solve requirement-related problems in requirements engineering. It moves from simple languages to more complicated ones and uses these languages to illustrate a discussion of major topics in requirements modelling language design. The book positions requirements problem solving within the framework of broader research on ill-structured problem solving in artificial intelligence and engineering in general. Further, it introduces the reader to many complicated issues in requirements modelling language design, starting from trivial questions and the definition of corresponding simple languages used to answer them, and progressing to increasingly complex issues and languages. In this way the reader is led step by step (and with the help of illustrations) to learn about the many challenges involved in designing modelling languages for requirements engineering. The book offers the first comprehensive treatment of a major challenge in requirements engineering and business analysis, namely, how to design and define requirements modelling languages. It is intended for researchers and graduate students interested in advanced topics of requirements engineering and formal language design.

It's axiomatic to state that people fear what they do not understand, and this is especially true when it comes to technology. However, despite their prevalence, computers remain shrouded in mystery, and many users feel apprehensive when interacting with them. Smartphones have only exacerbated the issue. Indeed, most users of these devices leverage only a small fraction of the power they hold in their hands. How Things Work: The Computer Science Edition is a roadmap for readers who want to overcome their technophobia and harness the full power of everyday technology. Beginning with the basics, the book demystifies the mysterious world of computer science, explains its fundamental concepts in simple terms, and answers the questions many users feel too intimidated to ask. By the end of the book, readers will understand how computers and smart devices function and, more important, how they can make these devices work for them. To complete the picture, the book also introduces readers to the darker side of modern technology: security and privacy concerns, identity theft, and threats from the Dark Web.

It's axiomatic to state that people fear what they do not understand, and this is especially true when it comes to technology. However, despite their prevalence, computers remain shrouded in mystery, and many users feel apprehensive when interacting with them. Smartphones have only exacerbated the issue. Indeed, most users of these devices leverage only a small fraction of the power they hold in their hands. How Things Work: The Computer Science Edition is a roadmap for readers who want to overcome their technophobia and harness the full power of everyday technology. Beginning with the basics, the book demystifies the mysterious world of computer science, explains its fundamental concepts in simple terms, and answers the questions many users feel too intimidated to ask. By the end of the book, readers will understand how computers and smart devices function and, more important, how they can make these devices work for them. To complete the picture, the book also introduces readers to the darker side of modern technology: security and privacy concerns, identity theft, and threats from the Dark Web.

Martin Fowler's guide to reworking bad code into well-structured code Refactoring improves the design of existing code and enhances software maintainability, as well as making existing code easier to understand. Original Agile Manifesto signer and software development thought leader, Martin Fowler, provides a catalog of refactorings that explains why you should refactor; how to recognize code that needs refactoring; and how to actually do it successfully, no matter what language you use. Refactoring principles: understand the process and general principles of refactoring Code smells: recognize "bad smells" in code that signal opportunities to refactor Application improvement: quickly apply useful refactorings to make a program easier to comprehend and change Building tests: writing good tests increases a programmer's effectiveness Moving features: an important part of refactoring is moving elements between contexts Data structures: a collection of refactorings to organize data, an important role in programs Conditional Logic: use refactorings to make conditional sections easier to understand APIs: modules and their functions are the building blocks of our software, and APIs are the joints that we use to plug them together Inheritance: it is both very useful and easy to misuse, and it's often hard to see the misuse until it's in the rear-view mirror---refactorings can fix the misuse Examples are written in JavaScript, but you shouldn't find it difficult to adapt the refactorings to whatever language you are currently using as they look mostly the same in different languages. "Whenever you read [Refactoring], it's time to read it again. And if you haven't read it yet, please do before writing another line of code." -David Heinemeier Hansson, Creator of Ruby on Rails, Founder & CTO at Basecamp "Any fool can write code that a computer can understand. Good programmers write code that humans can understand." -M. Fowler (1999)

Through analysis of in-depth interviews with seventy-three Hispanic immigrants in Central Virginia, this book offers a rare in-depth look at the views and circumstances of immigrants in a new receiving area. It provides an examination of the new migration trend including an analysis of immigrants' living and working conditions, their family life, and their plans for the future.

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.

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.

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

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.

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.

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.

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).
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 linkedAccompanying source code and PowerPoint slides provide helpful training material and real-world experience for readers "

Defines concepts and processes of software and software development, such as agile processes, requirements engineering, and software architecture, design, construction Uncovers and answers various misconceptions about the software development process and presents an up-to-date reflection on the state of practice in the industry Details how non-software engineers can better communicate their needs to software engineers and more effectively participate in design and testing to ultimately lower software development and maintenance costs Helps answer the question: How can I better leverage embedded software in my design? Adds new chapters on software architecture, software engineering and systems, and software engineering and disruptive technologies, as well as information on cybersecurity Features new appendices that describe a sample automation system, covering software requirements, architecture, and design

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:

• Why dependability matters
• What it means for a system to be dependable
• How to build a dependable software system
• How to assess whether a software system is adequately dependable

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.

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.

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.

Ethnography is now a fundamental feature of design practice, taught in universities worldwide and practiced widely in commerce. Despite its rise to prominence a great many competing perspectives exist and there are few practical texts to support the development of competence. Doing Design Ethnography" "elaborates the ethnomethodological perspective on ethnography, a distinctive approach that provides canonical 'studies of work' in and for design. It provides an extensive treatment of the approach, with a particular slant on providing a pedagogical text that will support the development of competence for students, career researchers and design practitioners. It is organised around a complementary series of self-contained chapters, each of which address key features of doing the job of ethnography for purposes of system design. The book will be of broad appeal to students and practitioners in HCI, CSCW and software engineering, providing valuable insights as to how to conduct ethnography and relate it to design.