* Provides simple, conceptual descriptions of everyday technologies * Includes clear examples and diagrams that demonstrate the principles and techniques, not just a "how-to" punch list * Covers advanced topics for readers who want to dive into the deep end of the technology pool * Avoids jargon-where terminology does appear, the text will provide clear, concise definitions

Features Teaches software design by showing programmers how to build the tools they use every day. Each chapter includes exercises to help readers check and deepen their understanding. All the example code can be downloaded, re-used, and modified under an open license.

The work presented in this book is based on empirical study undertaken as a case study to understand the challenges faced in massively open online course (MOOC) based learning and experimentation to understand the challenges for presenting theoretical and practical courses. The book proposes a flexible online platform. This solution provides flexibility in distance learning processes including course enrollment, learning, evaluation, and outcome of degrees. The proposed system not only gives students freedom to choose their courses in accordance with their needs but also use earned credit towards online degrees of any university of their choice.

"I highly recommend Mr. Hobbs' book." - Stephen Thomas, PE, Founder and Editor of FunctionalSafetyEngineer.com Safety-critical devices, whether medical, automotive, or industrial, are increasingly dependent on the correct operation of sophisticated software. Many standards have appeared in the last decade on how such systems should be designed and built. Developers, who previously only had to know how to program devices for their industry, must now understand remarkably esoteric development practices and be prepared to justify their work to external auditors. Embedded Software Development for Safety-Critical Systems discusses the development of safety-critical systems under the following standards: IEC 61508; ISO 26262; EN 50128; and IEC 62304. It details the advantages and disadvantages of many architectural and design practices recommended in the standards, ranging from replication and diversification, through anomaly detection to the so-called "safety bag" systems. Reviewing the use of open-source components in safety-critical systems, this book has evolved from a course text used by QNX Software Systems for a training module on building embedded software for safety-critical devices, including medical devices, railway systems, industrial systems, and driver assistance devices in cars. Although the book describes open-source tools for the most part, it also provides enough information for you to seek out commercial vendors if that's the route you decide to pursue. All of the techniques described in this book may be further explored through hundreds of learned articles. In order to provide you with a way in, the author supplies references he has found helpful as a working software developer. Most of these references are available to download for free.

Empirical research has now become an essential component of software engineering yet software practitioners and researchers often lack an understanding of how the empirical procedures and practices are applied in the field. Empirical Research in Software Engineering: Concepts, Analysis, and Applications shows how to implement empirical research processes, procedures, and practices in software engineering. Written by a leading researcher in empirical software engineering, the book describes the necessary steps to perform replicated and empirical research. It explains how to plan and design experiments, conduct systematic reviews and case studies, and analyze the results produced by the empirical studies. The book balances empirical research concepts with exercises, examples, and real-life case studies, making it suitable for a course on empirical software engineering. The author discusses the process of developing predictive models, such as defect prediction and change prediction, on data collected from source code repositories. She also covers the application of machine learning techniques in empirical software engineering, includes guidelines for publishing and reporting results, and presents popular software tools for carrying out empirical studies.

This reference text provides the theoretical foundations, the emergence, and the application areas of Blockchain in an easy-to-understand manner that would be highly helpful for the researchers, academicians, and industry professionals to understand the disruptive potentials of Blockchain. It explains Blockchain concepts related to Industry 4.0, Smart Healthcare, and the Internet of Things (IoT) and explores Smart Contracts and Consensus algorithms. This book will serve as an ideal reference text for graduate students and academic researchers in electrical engineering, electronics and communication engineering, computer engineering, and information technology. This book * Discusses applications of blockchain technology in diverse sectors such as industry 4.0, education, finance, and supply chain. * Provides theoretical concepts, applications, and research advancements in the field of blockchain. * Covers industry 4.0 digitization platform and blockchain for data management in industry 4.0 in a comprehensive manner. * Emphasizes analysis and design of consensus algorithms, fault tolerance, and strategy to choose the correct consensus algorithm. * Introduces security issues in the industrial internet of things, internet of things, blockchain integration, and blockchain-based applications. The text presents in-depth coverage of theoretical concepts, applications and advances in the field of blockchain technology. This book will be an ideal reference for graduate students and academic researchers in diverse engineering fields such as electrical, electronics and communication, computer, and information technology.

The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions.

The book describes a fundamentally new approach to software dependability, considering a software system as an ever-changing system due to changes in service objectives, users' requirements, standards and regulations, and to advances in technology. Such a system is viewed as an Open System since its functions, structures, and boundaries are constantly changing. Thus, the approach to dependability is called Open Systems Dependability. The DEOS technology realizes Open Systems Dependability. It puts more emphasis on stakeholders' agreement and accountability achievement for business/service continuity than in elemental technologies.

First Published in 2005. Routledge is an imprint of Taylor & Francis, an informa company.

Updates content and introduces topics such as business changes and outsourcing. Addresses new cyber security risks such as IoT and Distributed Networks (i.e., blockchain). Covers strategy based on the OODA loop in the cycle. Demonstrates application of the concepts through short case studies of real-world incidents chronologically delineating related events. Discusses certifications and reference manuals in cyber security and digital forensics. Includes an entire chapter on tools used by professionals in the field.

Features Teaches software design by showing programmers how to build the tools they use every day. Each chapter includes exercises to help readers check and deepen their understanding. All the example code can be downloaded, re-used, and modified under an open license.

Domain analysis is the process of studying the actions, knowledge production, knowledge dissemination, and knowledge-base of a community of commonality, such as an academic discipline or a professional community. The products of domain analysis range from controlled vocabularies and other knowledge organization systems, to scientific evidence about the growth and sharing of knowledge and the evolution of communities of discourse and practice.In the field of knowledge organization- both the science and the practice domain analysis is the basic research method for identifying the concepts that will be critical building blocks for knowledge organization systems. This book will survey the theoretical rationale for domain analysis, present tutorials in the specific methods of domain analysis, especially with regard to tools for visualizing knowledge domains.

Experience has shown us that investment in the requirements process saves time, money, and effort. Yet, development efforts consistently charge ahead without investing sufficiently in the requirements process. We are so intent to develop the technical solutions that we are unwilling to take the time and effort to understand and meet the real customer needs.
--From the Foreword by Ralph R. Young, author of "Effective Requirements Practices"Who is it for?

If you are involved in the systems engineering process, in any company -- from transport and telecommunications, to aerospace and software -- you will learn how to write down requirements to guarantee you get the systems YOU need.What skills will I learn?

How to write simple, clear requirements -- so you get what you wantHow to organize requirements as scenarios -- so everyone understands what you wantHow to review requirements -- so you ask for the right things
0321131630B05282002

This title includes a number of Open Access chapters. Model-driven engineering (MDE) is the automatic production of software from simplified models of structure and functionality. It mainly involves the automation of the routine and technologically complex programming tasks, thus allowing developers to focus on the true value-adding functionality that the system needs to deliver. This book serves an overview of some of the core topics in MDE. The volume is broken into two sections offering a selection of papers that helps the reader not only understand the MDE principles and techniques, but also learn from practical examples. Also covered are the following topics: * MDE for software product lines * Formal methods for model transformation correctness * Metamodeling with Eclipse eCore * Metamodeling with UML profiles * Test cases generation This easily accessible reference volume offers a comprehensive guide to this rapidly expanding field. Edited by experienced writers with experience in both research and the practice of software engineering, Model-Driven Engineering of Information Systems: Principles, Techniques and Practice is an authoritative and easy-to-use reference, ideal for both researchers in the field and students who wish to gain an overview to this important field of study.

Practical models and fundamental aspects of reuse-based software engineering

This volume provides an overview of the current state and the future of reuse-based software engineering and discusses the vital technical, managerial, and organizational aspects of reuse in one treatment. It also shows how these fundamental aspects can be used in the development life cycle of component-based software and product line engineering.

The authors present the basic foundations upon which reuse processes and approaches can be established and integrate theoretical concepts with applied practice. They also discuss the development of an effective large-scale discipline utilizing:

• The state of the art in multi-paradigm programming, design, and architectural techniques for codifying and packaging high-quality software artifacts that are widely applicable and cost-effective
• Effective organizations with the mandate and the resources to produce and manage a shared repository of software assets
• A set of control and management tools for planning, controlling, and evaluating the degree to which such an organization meets its objectives

Reuse-Based Software Engineering offers in-depth discussion of these fundamental issues and total coverage of the state of the art. The inclusion of review questions and exercises makes it an excellent tutorial for both academics and professionals.

"Not only for MacOS and Linux users, but also a great resource for Windows PS users." - Bruce Bergman Learn PowerShell in a Month of Lunches: Covers Windows, Linux, and macOS is a task-focused tutorial for administering Linux and macOS systems using Microsoft PowerShell. Adapted by PowerShell team members Travis Plunk and Tyler Leonhardt from the bestselling Learn Windows PowerShell in a Month of Lunches by community legends Don Jones and Jeffrey Hicks, it features Linux-based examples covering core language features and admin tasks. Designed for busy IT professionals, this innovative guide will take you from the basics to PowerShell proficiency through 25 tutorials you can do in your lunch break. about the technology The PowerShell scripting language and administrative shell was initially created for Windows, providing a high-quality command-line interface and awesome automation features. As part of Microsoft's ongoing strategy to support non-Windows platforms with its Azure cloud service and .NET Core framework, PowerShell now runs on Linux and macOS. Like Bash, PowerShell can execute and script nearly any aspect of Linux, so you can easily manage repetitive daily tasks, servers, Cloud resources, Continuous Integration pipelines, and more. Because PowerShell is a full-featured programming language, however, it provides capability well beyond traditional shell scripting languages, such as the ability to treat OS components as objects. about the book Learn PowerShell in a Month of Lunches: Covers Windows, Linux, and macOS is a user-friendly tutorial to managing Linux and macOS systems with PowerShell. It's based on the bestselling Learn Windows PowerShell in a Month of Lunches, which has introduced PowerShell to nearly 100,000 readers. You'll learn how PowerShell shapes up to Bash or Python scripting as you write and run simple scripts that automate boring daily tasks. As you progress through the book, you'll use PowerShell to write Continuous Integration Pipelines and manage cloud-based servers. Just set aside one hour a day for a month, and you'll be automating tasks faster than you ever thought possible! what's inside - Why you should use PowerShell on Linux and macOS - Background jobs and automation techniques - Simple scripting to automate repetitive daily tasks - Common syntax and commands cheat sheet - Each lesson takes you an hour or less about the reader For IT professionals comfortable administering Windows or Linux. No previous experience with PowerShell or Bash required. about the author Travis Plunk has been a Software Engineer on various PowerShell teams since 2013, and at Microsoft since 1999. He was involved in open sourcing PowerShell and has worked on the project full time since shortly after the project was announced. James Petty is a Microsoft MVP, and the CEO and Executive Director for the DevOps Collective and PowerShell.org. Tyler Leonhardt has been a Software Engineer on the PowerShell team since 2017, and at Microsoft since 2016. He is a core maintainer of the PowerShell extension for Visual Studio Code. Learn Windows PowerShell in a Month of Lunches was written by PowerShell community legends Don Jones and Jeffrey Hicks, who have years of experience as successful PowerShell trainers.

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

"Proceedings of the 2012 International Conference on Information Technology and Software Engineering" presents selected articles from this major event, which was held in Beijing, December 8-10, 2012. This book presents the latest research trends, methods and experimental results in the fields of information technology and software engineering, covering various state-of-the-art research theories and approaches. The subjects range from intelligent computing to information processing, software engineering, Web, unified modeling language (UML), multimedia, communication technologies, system identification, graphics and visualizing, etc.
The proceedings provide a major interdisciplinary forum for researchers and engineers to present the most innovative studies and advances, which can serve as an excellent reference work for researchers and graduate students working on information technology and software engineering.
Prof. Wei Lu, Dr. Guoqiang Cai, Prof. Weibin Liu and Dr. Weiwei Xing all work at Beijing Jiaotong University.

Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects.

Its scale, flexibility, cost effectiveness, and fast turnaround are just a few reasons why crowdsourced testing has received so much attention lately. While there are a few online resources that explain what crowdsourced testing is all about, there's been a need for a book that covers best practices, case studies, and the future of this technique. Filling this need, Leveraging the Wisdom of the Crowd in Software Testing shows you how to leverage the wisdom of the crowd in your software testing process. Its comprehensive coverage includes the history of crowdsourcing and crowdsourced testing, implementation practices, and future trends. The book discusses best practices in implementation-explaining what, when, and how to crowdsource in a testing effort. It also includes case studies that illustrate how both product and service companies have successfully applied crowdsourcing in their testing programs. Explaining how to use the combined advantages of crowdsourcing and cloud computing for software testing, the book examines various engagement models in which you could implement crowdsourced testing. It addresses effective defect management in crowdsourced testing and considers both the business and engineering aspects of crowdsourced testing. The book explores the challenges, limitations, and situations when crowdsourced testing will not work and provides powerful best practices for mitigating the constraints and challenges, including how to build a crowdsourcing platform to test software products. Covering career opportunities for crowd testers, the book concludes by taking a look at the need to build a crowdsourced testing ecosystem, who the players of such an ecosystem would be, and who would need to champion such an effort.

Learn the critical tips and techniques to make using Xcode for the iPhone, iPad, or Mac easier, and even fun. Explore the features and functionality of Xcode you may not have heard of. Go under the hood to discover how projects really work, so when they stop working, you'll know how to fix them. Explore the common problems developers face when using Xcode, and find out how to get the most out of your IDE. Dig into Xcode, and you'll discover it's richer and more powerful than you might have thought. Get a huge productivity boost by working with Xcode instead of against it. Instead of hacky code fixes and manual processes, once you know the the why and how of Xcode's process, you'll discover that doing things Xcode's way makes your app development more elegant and less aggravating. Explore the major features of Xcode: project management, building UIs with storyboards, code editing, compiling apps, fixing bugs and performance problems, unit- and UI testing, and source code management. Go beyond the basics and explore tasks that professionals deal with when they're working on big projects. Create storyboards that many developers can work on at once, even as projects grow to hundreds or thousands of files. Find the tools that make the code editor pleasant to work with, even in long coding sessions. Discover the right way to find and fix bugs when you have lots of code that's not always playing nicely together. Dig into specific and little-discussed features that help developers on Apple's other platforms: macOS, watchOS, and tvOS. When you're ready to distribute your app, learn how Apple's code-signing system really works. Find out when to let Xcode handle it automatically, and how to do it manually when needed. Discover how much easier and more fun iOS development is when you know the secrets of the tools. What You Need: This book requires Xcode 9 and a Mac running macOS High Sierra (10.13.2) or later. Additionally, an iOS device is recommended for on-device testing but not required.

The "servicemesh" pattern, implemented by platforms like Istio, helps you push operational issues into the infrastructure so the application code is easier to understand, maintain, and adapt. Istio in Action teaches you how to implement a full-featured Istio-based service mesh to manage a microservices application. Istio in Action is a comprehensive guide to handling authentication, routing, retrying, load balancing, collecting data, security, and other common network-related tasks using the Istio service mesh platform. With helpful diagrams and hands-on examples, you'll learn how to use this open-source service mesh to control routing, secure container applications, and monitor network traffic. You will also bring Istio to legacy systems without changes to your applications and discover how to use Istio in amulti-cloud world with the data layer deployed on a cluster like Kubernetes. Cloud-native applications can include thousands of clustered containers, distributed components, and complex interactions. To build them effectively, developers need a new approach to infrastructural concerns like monitoring, storage, scaling, orchestration, and security. The Istio platform offers a configurable infrastructure layer called a service mesh that reliably and efficiently manages day-to-day concerns like service discovery, load balancing, encryption, authentication and authorization, circuit breakers, and more. Open source andcloud-ready, Istio is a welcome upgrade from manually managed microservices infrastructure.

Despite its importance, the role of HdS is most often underestimated and the topic is not well represented in literature and education. To address this, Hardware-dependent Software brings together experts from different HdS areas. By providing a comprehensive overview of general HdS principles, tools, and applications, this book provides adequate insight into the current technology and upcoming developments in the domain of HdS. The reader will find an interesting text book with self-contained introductions to the principles of Real-Time Operating Systems (RTOS), the emerging BIOS successor UEFI, and the Hardware Abstraction Layer (HAL). Other chapters cover industrial applications, verification, and tool environments. Tool introductions cover the application of tools in the ASIP software tool chain (i.e. Tensilica) and the generation of drivers and OS components from C-based languages. Applications focus on telecommunication and automotive systems.

Object-oriented inheritance has been in widespread use for a decade, and it is now realised that although inheritance is a powerful modelling tool with many associated advantages, its benefits are not automatically conferred on systems that simply use it.This book introduces a model of inheritance based around five fundamental inheritance relationships. Each relationship has a clear conceptual basis, representing a fundamental, specialised use of inheritance. The resulting model replaces a confused notion of inheritance with five distinct conceptual relationships supporting more precise modelling of systems and capturing the semantic intent of each use of inheritance within a system.

This book constitutes the refereed proceedings of the 21st IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2020, held in Valencia, Spain, in November 2020. The conference was held virtually.The 53 full papers were carefully reviewed and selected from 135 submissions. They provide a comprehensive overview of major challenges and recent advances in various domains related to the digital transformation and collaborative networks and their applications with a strong focus on the following areas related to the main theme of the conference: collaborative business ecosystems; collaborative business models; collaboration platform; data and knowledge services; blockchain and knowledge graphs; maintenance, compliance and liability; digital transformation; skills for organizations of the future; collaboration in open innovation; collaboration in supply chain; simulation and analysis in collaborative systems; product and service systems; collaboration impacts; boosting sustainability through collaboration in Agri-food 4.0; digital innovation hubs for digitalizing European industry; and collaborative networks for health and wellness data management.