"The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better." - Todd Cook The bestseller revised! Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library. Written by Google AI researcher Francois Chollet, the creator of Keras, this revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. You'll build your understanding through practical examples and intuitive explanations that make the complexities of deep learning accessible and understandable. about the technology Machine learning has made remarkable progress in recent years. We've gone from near-unusable speech recognition, to near-human accuracy. From machines that couldn't beat a serious Go player, to defeating a world champion. Medical imaging diagnostics, weather forecasting, and natural language question answering have suddenly become tractable problems. Behind this progress is deep learning-a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications across every industry sector about the book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You'll learn directly from the creator of Keras, Francois Chollet, building your understanding through intuitive explanations and practical examples. Updated from the original bestseller with over 50% new content, this second edition includes new chapters, cutting-edge innovations, and coverage of the very latest deep learning tools. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. what's inside Deep learning from first principles Image-classification, imagine segmentation, and object detection Deep learning for natural language processing Timeseries forecasting Neural style transfer, text generation, and image generation about the reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. about the author Francois Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does AI research, with a focus on abstraction and reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.

Conventional build-then-test practices are making today's embedded, software-reliant systems unaffordable to build. In response, more than thirty leading industrial organizations have joined SAE (formerly, the Society of Automotive Engineers) to define the SAE Architecture Analysis & Design Language (AADL) AS-5506 Standard, a rigorous and extensible foundation for model-based engineering analysis practices that encompass software system design, integration, and assurance. Using AADL, you can conduct lightweight and rigorous analyses of critical real-time factors such as performance, dependability, security, and data integrity. You can integrate additional established and custom analysis/specification techniques into your engineering environment, developing a fully unified architecture model that makes it easier to build reliable systems that meet customer expectations. Model-Based Engineering with AADL is the first guide to using this new international standard to optimize your development processes. Coauthored by Peter H. Feiler, the standard's author and technical lead, this introductory reference and tutorial is ideal for self-directed learning or classroom instruction, and is an excellent reference for practitioners, including architects, developers, integrators, validators, certifiers, first-level technical leaders, and project managers. Packed with real-world examples, it introduces all aspects of the AADL notation as part of an architecture-centric, model-based engineering approach to discovering embedded software systems problems earlier, when they cost less to solve. Throughout, the authors compare AADL to other modeling notations and approaches, while presenting the language via a complete case study: the development and analysis of a realistic example system through repeated refinement and analysis. Part One introduces both the AADL language and core Model-Based Engineering (MBE) practices, explaining basic software systems modeling and analysis in the context of an example system, and offering practical guidelines for effectively applying AADL. Part Two describes the characteristics of each AADL element, including their representations, applicability, and constraints. The Appendix includes comprehensive listings of AADL language elements, properties incorporated in the AADL standard, and a description of the book's example system.

From its humble beginnings a container orchestration system, Kubernetes has become the de facto infrastructure for cloud native applications. Kubernetes impacts every aspect of the application development lifecycle, from design through deployment. To build and operate reliable cloud native systems, you need to understand what's going on below the surface. Core Kubernetes is packed with experience-driven insights and practical techniques, and takes you inside Kubernetes to teach you what you'll need to know to keep your system running like a well-oiled machine and prevent those panicked 3 AM phone calls. about the technology Kubernetes is a platform-independent layer for deploying scalable container-based applications. Kubernetes provides abstractions for clustering, replicating, and scaling system components in real time. It's especially well-suited for microservices applications, where you can easily balance the load among services. Kubernetes has become a core component of cloud native applications, and all major cloud vendors now offer hosted versions of Kubernetes. Kubernetes was initially developed by Google and is now governed as an open source project by the Cloud Native Computing Foundation (CNCF). about the book Core Kubernetes is a reference guide designed to teach operators, SREs, and developers how to improve reliability and performance of Kubernetes-based systems. In it, Kubernetes experts Chris Love and Jay Vyas provide a guided tour through all major aspects of Kubernetes, from managing iptables to setting up dynamically scaled clusters that respond to changes in load. You'll understand the unique security concerns of container-based applications, discover tips to minimize costly unused capacity, and get pro tips for maximizing performance. This awesome collection of undocumented internals, expert techniques, and practical guidance has invaluable information you won't find anywhere else. what's inside - Kubernetes base components - Kubernetes networking - Storage and the Container Storage Interface - External load balancing and ingress - Kubernetes security - Different ways of creating a Kubernetes cluster - Configuring Kubernetes to use a GPU about the reader Written for readers with a working knowledge of Kubernetes and microservices applications. about the author After earning his PhD, Jay Vyas started his career contributing to Kubernetes' core features at RedHat, and next, he focused on helping multiple companies migrate to Cloud-Native solutions. He now resides at VMWare, once again contributing to Kubernetes and associated projects. When not coding, Jay likes to play with his video games, his synthesizers, and hang out in his Pod. As a thought leader in the Kubernetes and DevOps segment, Chris Love is a founder of multiple technology companies with over 20 years' experience in software engineering. A Google Cloud Certified Fellow, Chris has contributed to several open-source projects including Kubernetes, Bazel, and Terraform. He enjoys speaking around the world about DevOps and Kubernetes and practices martial arts in his free time.

With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has never been greater. By explaining key aspects of multicore programming, Fundamentals of Multicore Software Development helps software engineers understand parallel programming and master the multicore challenge. Accessible to newcomers to the field, the book captures the state of the art of multicore programming in computer science. It covers the fundamentals of multicore hardware, parallel design patterns, and parallel programming in C++, .NET, and Java. It also discusses manycore computing on graphics cards and heterogeneous multicore platforms, automatic parallelization, automatic performance tuning, transactional memory, and emerging applications. As computing power increasingly comes from parallelism, software developers must embrace parallel programming. Written by leaders in the field, this book provides an overview of the existing and up-and-coming programming choices for multicores. It addresses issues in systems architecture, operating systems, languages, and compilers.

Create simple, easy programs in the popular Python language Beginning Programming with Python For Dummies is the trusted way to learn the foundations of programming using the Python programming language. Python is one of the top-ranked languages, and there's no better way to get started in computer programming than this friendly guide. You'll learn the basics of coding and the process of creating simple, fun programs right away. This updated edition features new chapters, including coverage of Google Colab, plus expanded information on functions and objects, and new examples and graphics that are relevant to today's beginning coders. Dummies helps you discover the wealth of things you can achieve with Python. Employ an online coding environment to avoid installation woes and code anywhere, any time Learn the basics of programming using the popular Python language Create easy, fun projects to show off your new coding chops Fix errors in your code and use Python with external data sets Beginning Programming with Python For Dummies will get new programmers started--the easy way.

The overwhelming majority of a software system's lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google's Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You'll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient-lessons directly applicable to your organization. This book is divided into four sections: Introduction-Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles-Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices-Understand the theory and practice of an SRE's day-to-day work: building and operating large distributed computing systems Management-Explore Google's best practices for training, communication, and meetings that your organization can use

Data structure and software engineering is an integral part of computer science, which, as a whole, is the study of the theoretical foundations of information and computation and of practical techniques for their implementation and application in computer systems. This new book presents new approaches and methods to knowledge sharing, brain mapping, data integration, data storage, managing an organizations business process and domain data, new software and hardware testing methods, and a game development framework used as a learning aid in a software engineering at the university level. The book also features a review of social software engineering metrics, methods for processing business information, and using Pegasys to create and manage sequence analysis workflows in biology.

History of Computing: Learning from the Past Why is the history of computing important? Given that the computer, as we now know it, came into existence less than 70 years ago it might seem a little odd to some people that we are concerned with its history. Isn't history about 'old things'? Computing, of course, goes back much further than 70 years with many earlier - vices rightly being known as computers, and their history is, of course, important. It is only the history of electronic digital computers that is relatively recent. History is often justified by use of a quote from George Santayana who famously said that: 'Those who cannot remember the past are condemned to repeat it'. It is arguable whether there are particular mistakes in the history of computing that we should avoid in the future, but there is some circularity in this question, as the only way we will know the answer to this is to study our history. This book contains papers on a wide range of topics relating to the history of c- puting, written both by historians and also by those who were involved in creating this history. The papers are the result of an international conference on the History of Computing that was held as a part of the IFIP World Computer Congress in Brisbane in September 2010.

Software has often been left in the margins of accounts of digital cultures and network societies. Although software is everywhere, it is hard to say what it actually is.

Regular expressions are an extremely powerful tool for manipulating text and data. They are now standard features in a wide range of languages and popular tools, including Perl, Python, Ruby, Java, VB.NET and C# (and any language using the .NET Framework), PHP, and MySQL. If you don't use regular expressions yet, you will discover in this book a whole new world of mastery over your data. If you already use them, you'll appreciate this book's unprecedented detail and breadth of coverage. If you think you know all you need to know about regular expressions, this book is a stunning eye-opener. As this book shows, a command of regular expressions is an invaluable skill. Regular expressions allow you to code complex and subtle text processing that you never imagined could be automated. Regular expressions can save you time and aggravation. They can be used to craft elegant solutions to a wide range of problems. Once you've mastered regular expressions, they'll become an invaluable part of your toolkit. You will wonder how you ever got by without them. Yet despite their wide availability, flexibility, and unparalleled power, regular expressions are frequently underutilized. Yet what is power in the hands of an expert can be fraught with peril for the unwary. Mastering Regular Expressions will help you navigate the minefield to becoming an expert and help you optimize your use of regular expressions. Mastering Regular Expressions, Third Edition, now includes a full chapter devoted to PHP and its powerful and expressive suite of regular expression functions, in addition to enhanced PHP coverage in the central "core" chapters. Furthermore, this edition has been updated throughout to reflect advances in other languages, including expanded in-depth coverage of Sun's java.util.regex package, which has emerged as the standard Java regex implementation.Topics include: * A comparison of features among different versions of many languages and tools * How the regular expression engine works * Optimization (major savings available here!) * Matching just what you want, but not what you don't want * Sections and chapters on individual languages Written in the lucid, entertaining tone that makes a complex, dry topic become crystal-clear to programmers, and sprinkled with solutions to complex real-world problems, Mastering Regular Expressions, Third Edition offers a wealth information that you can put to immediate use. Reviews of this new edition and the second edition: "There isn't a better (or more useful) book available on regular expressions." --Zak Greant, Managing Director, eZ Systems "A real tour-de-force of a book which not only covers the mechanics of regexes in extraordinary detail but also talks about efficiency and the use of regexes in Perl, Java, and .NET...If you use regular expressions as part of your professional work (even if you already have a good book on whatever language you're programming in) I would strongly recommend this book to you." --Dr. Chris Brown, Linux Format "The author does an outstanding job leading the reader from regex novice to master. The book is extremely easy to read and chock full of useful and relevant examples...Regular expressions are valuable tools that every developer should have in their toolbox. Mastering Regular Expressi

Learn the essentials of working with Flutter and Dart to build full stack applications that meet the needs of a cloud-driven world. Together, the Flutter open source UI software development kit and the Dart programming language for client development provide a unified solution to building applications capable of targeting multiple platforms. Recipes in this cookbook show you how this potent combination provides an efficient approach to application development. Typically used in frontend development, Flutter helps you develop cross-platform applications for Android, iOS, Linux, Mac, Windows, and the Google Fuchsia operating system. The Dart SDK provides native access to third-party solutions, including APIs, databases, and authentication. When used in concert with Flutter, Dart allows you to compile source code ahead of time to native code. This cookbook shows you how to: Write effective Dart code by using variables and data structures Build applications with Flutter by exploring widgets and data handling Understand cloud provider solutions and learn how to integrate them with Flutter Manage data through APIs using Google Cloud Serverless Work with Firebase solutions such as Authentication and the Cloud Firestore database Build web applications that also work with mobile and desktop platforms

Accurate software engineering reviews and audits have become essential to the success of software companies and military and aerospace programs. These reviews and audits define the framework and specific requirements for verifying software development efforts. Authored by an industry professional with three decades of experience, Software Engineering Reviews and Audits offers authoritative guidance for conducting and performing software first article inspections, and functional and physical configuration software audits. It prepares readers to answer common questions for conducting and performing software reviews and audits, such as: What is required, who needs to participate, and how do we ensure success in all specified requirements in test and released configuration baselines? Complete with resource-rich appendices, this concise guide will help you: * Conduct effective and efficient software reviews and audits * Understand how to structure the software development life cycle * Review software designs and testing plans properly * Access best methods for reviews and audits * Achieve compliance with mandatory and contractual software requirements The author includes checklists, sample forms, and a glossary of industry terms and acronyms to help ensure formal audits are successful the first time around. The contents of the text will help you maintain a professional setting where software is developed for profit, increase service quality, generate cost reductions, and improve individual and team efforts.

Improve your understanding of Scrum through the proven experience and collected wisdom of experts around the world. Based on real-life experiences, the 97 essays in this unique book provide a wealth of knowledge and expertise from established practitioners who have dealt with specific problems and challenges with Scrum. You'll find out more about the rules and roles of this framework, as well as tactics, strategies, specific patterns to use with Scrum, and stories from the trenches. You'll also gain insights on how to apply, tune, and tweak Scrum for your work. This guide is an ideal resource for people new to Scrum and those who want to assess and improve their understanding of this framework. Learn tips and tricks from some of the world's leading experts on Scrum Understand how leading practitioners deal with real-life problems Explore essays that address product ownership, collaboration, mastership, and the impact of Scrum on an organization Apply the solutions in this book to your own problems with Scrum

Optimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools like AutoKeras and KerasTuner. Automated Machine Learning in Action, filled with hands-onexamples and written in an accessible style, reveals how premade machine learning components can automate time-consuming ML tasks. Automated Machine Learning in Action teaches you to automate selecting the best machine learning models or data preparation methods for your own machine learning tasks, so your pipelines tune themselves without needing constant input. You'll quickly run through machine learning basics thatopen upon AutoML to non-data scientists, before putting AutoML into practicefor image classification, supervised learning, and more. Automated machine learning (AutoML) automates complex andtime-consuming stages in a machine learning pipeline with pre packaged optimal solutions. This frees up data scientists from data processing and manualtuning, and lets domain experts easily apply machine learning models to their projects.

From small start-ups to major corporations, companies of all sizes have embraced cloud computing for the scalability, reliability, and cost benefits it can provide. It has even been said that cloud computing may have a greater effect on our lives than the PC and dot-com revolutions combined. Filled with comparative charts and decision trees, Implementing and Developing Cloud Computing Applications explains exactly what it takes to build robust and highly scalable cloud computing applications in any organization. Covering the major commercial offerings currently available, it provides authoritative guidance through the implementation process. It puts cloud computing into historical context and considers how cloud computing affects project management, budgeting, and lifecycle management in your organization. It also explains how to: * Choose the best combination of platforms, tools, and services * Develop new cloud applications from scratch * Migrate legacy software * Prevent lock-in to a single vendor * Estimate costs and benefits * Address reliability, availability, and security concerns * Use interclouding, Cloud Brokers, and other techniques for safely deploying in public, private, and hybrid clouds * Take advantage of the latest developments, including OpenStack From software and testing tools to best practices and service providers, this book considers the entire cloud application environment. It details the platforms currently available, tools that facilitate development, as well as the costs involved. Designed specifically for software developers and their managers, this complete resource includes case studies that illustrate the latest cloud computing technologies, implementation issues, and recently developed solutions. It also provides access to a blog to help keep you current on the latest developments in cloud computing.

This is the first book organized around code clone analysis. To cover the broad studies of code clone analysis, this book selects past research results that are important to the progress of the field and updates them with new results and future directions. The first chapter provides an introduction for readers who are inexperienced in the foundation of code clone analysis, defines clones and related terms, and discusses the classification of clones. The chapters that follow are categorized into three main parts to present 1) major tools for code clone analysis, 2) fundamental topics such as evaluation benchmarks, clone visualization, code clone searches, and code similarities, and 3) applications to actual problems. Each chapter includes a valuable reference list that will help readers to achieve a comprehensive understanding of this diverse field and to catch up with the latest research results. Code clone analysis relies heavily on computer science theories such as pattern matching algorithms, computer language, and software metrics. Consequently, code clone analysis can be applied to a variety of real-world tasks in software development and maintenance such as bug finding and program refactoring. This book will also be useful in designing an effective curriculum that combines theory and application of code clone analysis in university software engineering courses.

In-depth coverage of the latest advances in software engineering

Aimed at defining inherent problems and providing appropriate solutions when constructing large software systems, the study of software engineering is an essential practice in order to create and maintain successful software development. This new edition shows you how to appreciate the issues, design trade-offs, and teamwork required for successful software development. With a special emphasis placed on the managerial aspects and human factors involved in software projects, this book reflects the changes taking place within software engineering and includes a major update on architecture and the increasingly hybrid character of software engineering. Offers comprehensive coverage of the fundamentals of software engineering as well as revised and updated text on the latest advances in the field, including agile methods, open source, and UML2Incorporates discussion of commercial off-the-shelf products and open sourceExamines the impact of lightweight versus heavyweight methods, paying particular attention to agile approachesAddresses the globalization of software development and the impact of the Web

This new edition is an invaluable resource for anyone involved in software development and maintenance.

Business success hinges on successfully creating products with the right features. You must correctly analyze the needs of the customer and match these needs with your resources to not only produce a product and but also deliver it in a timely manner. An in-depth understanding of systematic release planning can put you on this path. Authored by renowned expert Gunther Ruhe, Product Release Planning: Methods, Tools and Applications presents methods and tools to apply sound planning to product development and product management.

The book covers the different aspects of supporting product release decisions ranging from foundations to methods, tools, and applications. Equal parts art and science, the actual decision-making is described as a process of combining rigorous methods with the intuition and experience of human experts. Ruhe provides a guided tour through the methodology and use of release planning, starting with technology and market needs and proceeding to product planning and finally to development projects. He studies three fundamental classes of problems: prioritization of features, product release planning on a strategic level (roadmapping), and release planning on an operational level (staffing).

Presenting and discussing tool support for all the methods covered, the author supplies case studies that underpin the methodologies with practical examples. He also supplies trial accounts (read only) for the two most important decision tools for prioritization and product release planning. The author freely admits that the techniques presented are not supposed to be the ultimate truth, but a direction to go to support human decision-making, to better understand the rational of the decisions made, and to grow in the capability of mastering the whole planning process.

About the Author: Gunther Ruhe holds an Industrial Research Chair in Software Engineering at University of Calgary. His main results and publications are in software engineering decision support, product release planning, project management, as well as measurement, simulation, optimization and empirical research for software-based systems. From 1996 until 2001 he was deputy director of the Fraunhofer Institute for Experimental Software Engineering in Kaiserslautern, Germany. He has comprehensive experience in industry collaboration projects and is the Founder and CEO of Expert Decisions Inc. Dr. Ruhe is a member of the ACM, the IEEE Computer Society and the German Computer Society GI.

Whether you re already in the cloud, or determining whether or not it makes sense for your organization, Cloud Computing and Software Services: Theory and Techniques provides the technical understanding needed to develop and maintain state-of-the-art cloud computing and software services. From basic concepts and recent research findings to future directions, it gathers the insight of 50 experts from around to present a global perspective on the range of technical topics related to cloud computing and Software as a Service (SaaS). The book also:

Reviews real cases and applications of cloud computing
Discusses the infrastructure cloud and Infrastructure as a Service (IaaS)
Considers data- and compute-intensive environments
Examines security and reliability in the cloud

Witten in a manner that makes this complex subject easy to understand, this is an ideal one-stop reference for anyone interested in cloud computing. The accessible language and wealth of illustrations also make it suitable for academic and research-oriented settings. The comprehensive coverage supplies you with the understanding of cloud computing technologies and trends in parallel computing needed to establish and maintain effective and efficient computing and software services.

Praise for:

a must for professionals and executives as each chapter is contributed by a team of highly accomplished and acclaimed researchers, pundits, and professors.
Pethuru Raj PhD, Robert Bosch Engineering and Business Solutions (RBEI) Ltd, India

The bestselling beginner Arduino guide, updated with new projects! Exploring Arduino makes electrical engineering and embedded software accessible. Learn step by step everything you need to know about electrical engineering, programming, and human-computer interaction through a series of increasingly complex projects. Arduino guru Jeremy Blum walks you through each build, providing code snippets and schematics that will remain useful for future projects. Projects are accompanied by downloadable source code, tips and tricks, and video tutorials to help you master Arduino. You'll gain the skills you need to develop your own microcontroller projects! This new 2nd edition has been updated to cover the rapidly-expanding Arduino ecosystem, and includes new full-color graphics for easier reference. Servo motors and stepper motors are covered in richer detail, and you'll find more excerpts about technical details behind the topics covered in the book. Wireless connectivity and the Internet-of-Things are now more prominently featured in the advanced projects to reflect Arduino's growing capabilities. You'll learn how Arduino compares to its competition, and how to determine which board is right for your project. If you're ready to start creating, this book is your ultimate guide! * Get up to date on the evolving Arduino hardware, software, and capabilities * Build projects that interface with other devices wirelessly! * Learn the basics of electrical engineering and programming * Access downloadable materials and source code for every project Whether you're a first-timer just starting out in electronics, or a pro looking to mock-up more complex builds, Arduino is a fantastic tool for building a variety of devices. This book offers a comprehensive tour of the hardware itself, plus in-depth introduction to the various peripherals, tools, and techniques used to turn your little Arduino device into something useful, artistic, and educational. Exploring Arduino is your roadmap to adventure start your journey today!

Making Sense of Design Effective design is at the heart of everything from software development to engineering to architecture. But what do we really know about the design process? What leads to effective, elegant designs? The Design of Design addresses these questions. These new essays by Fred Brooks contain extraordinary insights for designers in every discipline. Brooks pinpoints constants inherent in all design projects and uncovers processes and patterns likely to lead to excellence. Drawing on conversations with dozens of exceptional designers, as well as his own experiences in several design domains, Brooks observes that bold design decisions lead to better outcomes. The author tracks the evolution of the design process, treats collaborative and distributed design, and illuminates what makes a truly great designer. He examines the nuts and bolts of design processes, including budget constraints of many kinds, aesthetics, design empiricism, and tools, and grounds this discussion in his own real-world examples-case studies ranging from home construction to IBM's Operating System/360. Throughout, Brooks reveals keys to success that every designer, design project manager, and design researcher should know.

"All that have ever tried to impose change in their organization will immediately recognize and truly value the in-depth knowledge and experience captured in this book. It contains a collection of eye-openers that is a treasure chest for pioneers of new organizational ideas, A fantastic toolbox for use in future missions!" -Lise B. Hvatum, product development manager, Schlumberger "If you have need of changing your organization, and especially of introducing new techniques, then you want to understand what is in this book. It will help you avoid common pitfalls that doom many such projects and will show you a clear path to success. The techniques are derived from the experience of many individuals and organizations. Many are also fun to apply. This stuff is really cool-and really hot." -Joseph Bergin, professor of computer science, Pace University, New York "If change is the only guarantee in life, why is it so hard to do? As this book points out, people are not so much resistant to change itself as they are to being changed. Mary Lynn and Linda have successfully used the pattern form to capture and present the recurring lessons of successful change efforts and have placed a powerful knowledge resource in the hands of their readers." -Alan O'Callaghan, researcher, Software Technology Research Laboratory, De Montfort University, United Kingdom "The most difficult part of absorbing patterns, or any technology, into an organization is overcoming the people issues. The patterns in this book are the documentation of having gone through that experience, giving those that dare push the envelope a head start at success."-David E. DeLano, IBM Pervasive Computing "If you have ever wondered how you could possibly foster any cultural changes in your organization, in this book you will find a lot of concrete advice for doing so. I recommend that everyone read this book who has a vast interest in keeping his or her organization flexible and open for cultural change." -Jutta Eckstein, Independent Consultant, Objects In Action Author of Agile Software Development in the Large 48 Patterns for Driving and Sustaining Change in Your Organization Change. It's brutally tough to initiate, even harder to sustain. It takes too long. People resist it. But without it, organizations lose their competitive edge. Fortunately, you can succeed at making change. In Fearless Change, Mary Lynn Manns and Linda Rising illuminate 48 proven techniques, or patterns, for implementing change in organizations or teams of all sizes, and show you exactly how to use them successfully. Find out how to Understand the forces in your organization that drive and retard change Plant the seeds of change Drive participation and buy-in, from start to finish Choose an "official skeptic" to sharpen your thinking Make your changes appear less threatening Find the right timing and the best teaching moments Sustain your momentum Overcome adversity and celebrate success Inspired by the "pattern languages" that are transforming fields from software to architecture, the authors illuminate patterns for every stage of the change process: knowledge, persuasion, decision, implementation, and confirmation. These flexible patterns draw on the experiences of hundreds of leaders. They offer powerful insight into change-agent behavior, organizational culture, and the roles of every participant. Best of all, they're easy to use-and they work!

Maintaining compatibility among all affected network and application interfaces of modern enterprise systems can quickly become costly and overwhelming. This handbook presents the knowledge and practical experience of a global group of experts from varying disciplines to help you plan and implement enterprise integration projects that respond to business needs quickly and are seamless to business users. The Handbook of Enterprise Integration brings together the latest research and application results to provide infrastructure engineers, software engineers, software developers, system designers, and project managers with a clear and comprehensive understanding of systems integration technologies, architectures, applications, and project management techniques involved in enterprise system integration. The text includes coverage of mobile communications, standards for integrated manufacturing and e-commerce, RFID, Web-based systems, and complete service-oriented enterprise modeling and analysis. Practitioners will benefit from insights on managing virtual teams as well as techniques for introducing complex technology into businesses. Covering best practices in enterprise systems integration, the text highlights applications across various business enterprises to help you: Bring together existing systems for business processes improvement Design and implement systems that can be reconfigured quickly and easily in response to evolving operational needs Establish procedures for achieving smooth migrations from legacy systems-with minimal disruption to existing operations Complete with case studies, this book illustrates the current state of the art in the context of user requirements and integration and provides the up-to-date understanding required to manage today's complex and interconnected systems.

Extensive research conducted by the Hasso Plattner Design Thinking Research Program at Stanford University in Palo Alto, California, USA, and the Hasso Plattner Institute in Potsdam, Germany, has yielded valuable insights on why and how design thinking works. The participating researchers have identified metrics, developed models, and conducted studies, which are featured in this book, and in the previous volumes of this series. This volume provides readers with tools to bridge the gap between research and practice in design thinking with varied real world examples. Several different approaches to design thinking are presented in this volume. Acquired frameworks are leveraged to understand design thinking team dynamics. The contributing authors lead the reader through new approaches and application fields and show that design thinking can tap the potential of digital technologies in a human-centered way. In a final section, new ideas in neurodesign at Stanford University and at Hasso Plattner Institute in Potsdam are elaborated upon thereby challenging the reader to consider newly developed methodologies and provide discussion of how these insights can be applied to various sectors. Special emphasis is placed on understanding the mechanisms underlying design thinking at the individual and team levels. Design thinking can be learned. It has a methodology that can be observed across multiple settings and accordingly, the reader can adopt new frameworks to modify and update existing practice. The research outcomes compiled in this book are intended to inform and provide inspiration for all those seeking to drive innovation - be they experienced design thinkers or newcomers.

This book covers several topics related to domain-specific language (DSL) engineering in general and how they can be handled by means of the JetBrains Meta Programming System (MPS), an open source language workbench developed by JetBrains over the last 15 years. The book begins with an overview of the domain of language workbenches, which provides perspectives and motivations underpinning the creation of MPS. Moreover, technical details of the language underneath MPS together with the definition of the tool's main features are discussed. The remaining ten chapters are then organized in three parts, each dedicated to a specific aspect of the topic. Part I "MPS in Industrial Applications" deals with the challenges and inadequacies of general-purpose languages used in companies, as opposed to the reasons why DSLs are essential, together with their benefits and efficiency, and summarizes lessons learnt by using MPS. Part II about "MPS in Research Projects" covers the benefits of text-based languages, the design and development of gamification applications, and research fields with generally low expertise in language engineering. Eventually, Part III focuses on "Teaching and Learning with MPS" by discussing the organization of both commercial and academic courses on MPS. MPS is used to implement languages for real-world use. Its distinguishing feature is projectional editing, which supports practically unlimited language extension and composition possibilities as well as a flexible mix of a wide range of textual, tabular, mathematical and graphical notations. The number and diversity of the presented use-cases demonstrate the strength and malleability of the DSLs defined using MPS. The selected contributions represent the current state of the art and practice in using JetBrains MPS to implement languages for real-world applications.