Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify and discuss cutting-edge informatics topics. At the 2014 conference, the concept of how to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field highlighted many discussions. While there are many books covering data mining and software engineering basics, they present only the fundamentals and lack the perspective that comes from real-world experience. This book offers unique insights into the wisdom of the community´s leaders gathered to share hard-won lessons from the trenches. Ideas are presented in digestible chapters designed to be applicable across many domains. Topics included cover data collection, data sharing, data mining, and how to utilize these techniques in successful software projects. Newcomers to software engineering data science will learn the tips and tricks of the trade, while more experienced data scientists will benefit from war stories that show what traps to avoid. Presents the wisdom of community experts, derived from a summit on software analytics Provides contributed chapters that share discrete ideas and technique from the trenches Covers top areas of concern, including mining security and social data, data visualization, and cloud-based data Presented in clear chapters designed to be applicable across many domains
As systems grow increasingly large, complex, and costly, software architecture becomes ever more crucial. Software Systems Architecture, 2/e, is the leading practitioner´s guide to designing and implementing effective information system architectures. Authors Nick Rozanski and Eoin Woods have systematically updated their highly-praised first edition, while retaining the clarity, accessibility, objectivity, and practical focus that have made it indispensable to working architects. Rozanski and Woods focus on real-world issues, superbly blend business and technical concerns, and offer insights that are relevant in all environments, regardless of methodology. Their extensive updates to this edition include: A new System Context Viewpoint, added to the authors´ well-received architectural metamodel Expanded discussions of using architectural principles to provide traceability and expose decision-making rationales A discussion of how agile development and architecture can work together Updated, expanded description of enterprise architecture Expanded discussion of relationships between requirements and architecture New ´´Questions for Discussion´´ Updated bibliography and reading lists Product Description Software Systems Architecture, Second Edition is a highly regarded, practitioner-oriented guide to designing and implementing effective architectures for information systems. It is both a readily accessible introduction to software architecture and an invaluable handbook of well-established best practices. With this book you will learn how to Design and communicate an architecture that reflects and balances the different needs of its stakeholders Focus on architecturally significant aspects of design, including frequently overlooked areas such as performance, resilience, and location Use scenarios and patterns to drive the creation and validation of your architecture Document your architecture as a set of related views Reflecting new standards and developments in the field, this new edition extends and updates much of the content, and Adds a ´´system context viewpoint´´ that documents the system´s interactions with its environment Expands the discussion of architectural principles, showing how they can be used to provide traceability and rationale for architectural decisions Explains how agile development and architecture can work together Positions requirements and architecture activities in the project context Presents a new lightweight method for architectural validation Whether you are an aspiring or practicing software architect, you will find yourself referring repeatedly to the practical advice in this book throughout the lifecycle of your projects. A supporting Web site containing further information can be found at www.viewpoints-and-perspectives.info . Preface to the Second Edition xv Acknowledgments for the Second Edition xvi Preface to the First Edition xvii Acknowledgments xx Chapter 1: Introduction 1 Stakeholders, Viewpoints, and Perspectives 1 The Structure of This Book 7 Who Should Read This Book 7 Conventions Used 8 Part I: Architecture Fundamentals 9 Chapter 2: Software Architecture Concepts 11 Software Architecture 11 Architectural Elements 20 Stakeholders 21 Architectural Descriptions 24 Relationships between the Core Concepts 26 Summary 27 Further Reading 28 Chapter 3: Viewpoints and Views 31 Architectural Views 34 Viewpoints 36 Relationships between the Core Concepts 37 The Benefits of Using Viewpoints and Views 38 Viewpoint Pitfalls 39 Our Viewpoint Catalog 39 Summary 43 Further Reading 43 Chapter 4: Architectural Perspectives 45 Quality Properties 45 Architectural Perspectives 47 Applying Perspectives to Views 51 Consequences of Applying a Perspective 54 Relationships between the Core Concepts 56 The Benefits of Using Perspectives 56 Perspective Pitfalls 58 Comparing Perspectives to Viewpoints 58 Our Perspective Catalog 60 Summary 61 Further Reading 62 Chapter 5: The Role Of The Software Architect 63 The Architecture Definition Process 64 The Role of the Architect 68 Interrelationships between the Core Concepts 71 Architectural Specializations 72 The Organizational Context 73 The Architect´s Skills 76 The Architect´s Responsibilities 77 Summary 78 Further Reading 79 Part II: The Process of Software Architecture 81 Chapter 6: Introduction to the Software Architecture Process 83 Chapter 7: The Architecture Definition Process 85 Guiding Principles 85 Process Outcomes 86 The Process Context 87
For courses in Computer Science and Programming Computer systems: A Programmer?s Perspective explains the underlying elements common among all computer systems and how they affect general application performance. Written from the programmer?s perspective, this book strives to teach students how understanding basic elements of computer systems and executing real practice can lead them to create better programs. Spanning across computer science themes such as hardware architecture, the operating system, and systems software, the Third Edition serves as a comprehensive introduction to programming. This book strives to create programmers who understand all elements of computer systems and will be able to engage in any application of the field--from fixing faulty software, to writing more capable programs, to avoiding common flaws. It lays the groundwork for students to delve into more intensive topics such as computer architecture, embedded systems, and cybersecurity. This book focuses on systems that execute an x86-64 machine code, and recommends that students have access to a Linux system for this course. Students should have basic familiarity with C or C++. MasteringEngineering ® not included. Students, if MasteringEngineering is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MasteringEngineering should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MasteringEngineering is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts. Features + Benefits This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States. Computer Systems: A Programmer?s Perspective uses the following features to facilitate learning: NEW! The book now exclusively bases its presentation on x86-64 A carefully planned 12 chapter layout that covers all of the core topics of computer programming Chapter 1 uses a simple ?hello world? program to introduce the major concepts and themes of computer programming. Chapter 2 dives into the topic of computer arithmetic, considering how numbers are represented in computer programs and how they affect value coding. The chapter places a special emphasis on the properties of unsigned and two?s-compliment number representations. It gives students necessary insight into arithmetic from the programmers perspective and why it?s so important. Chapter 3 teaches students how to read the x86-64 code generated by a C compiler, covering the basic instruction patterns for different control constructs, implementation procedures, and the allocation of different data structures. This chapter also discusses the implementation of integer and floating point arithmetic and takes a machine-level view of programs to understand certain code vulnerabilities. Chapter 4 introduces students to basic combinational and sequential logic elements and shows how they can be used in a simplified subset of the x86-64 instruction set called Y86-64. It starts with a single-cycle datapath and moves onto a discussion of pipelining. Chapter 5 gives students techniques for improving code performance with transformations that reduce work and enhance instruction-level parallelism. Chapter 6 covers different types of RAM and ROM memory systems, describing their hierarchical arrangement. The chapter makes the abstract concept tangible by using the analogy of a ?memory mountain? with ridges of temporal locality and slopes of spatial locality. Students learn that improving temporal and spatial locality improves performance. Chapter 7 discusses both static and dynamic linking, areas included in most systems text where programmers make their most confusing errors. Chapter 8 explains exceptional control flow at all levels of the system, from simple hardware interrupts to nonlocal jumps in C that break the stack discipline. This chapter introduces the fundamental idea of a process by teaching students how it works and how it is created and manipulated from application programs. Chapter 9 shows students key characteristics of the virtual memory system and how it works, addressing issues such
This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective. The topics cover an extremely wide spectrum of essential and relevant aspects of data science, spanning its evolution, concepts, thinking, challenges, discipline, and foundation, all the way to industrialization, profession, education, and the vast array of opportunities that data science offers. The book´s three parts each detail layers of these different aspects. The book is intended for decision-makers, data managers (e.g., analytics portfolio managers, business analytics managers, chief data analytics officers, chief data scientists, and chief data officers), policy makers, management and decision strategists, research leaders, and educators who are responsible for pursuing new scientific, innovation, and industrial transformation agendas, enterprise strategic planning, a next-generation profession-oriented course development, as well as those who are involved in data science, technology, and economy from an advanced perspective. Research students in data science-related courses and disciplines will find the book useful for positing their innovative scientific journey, planning their unique and promising career, and competing within and being ready for the next generation of science, technology, and economy.
Designing User Experience presents a comprehensive introduction to the practical issue of creating interactive systems, services and products from a human-centred perspective. It develops the principles and methods of human-computer interaction (HCI) and Interaction Design (ID) to deal with the design of twenty-first-century computing and the demands for improved user experience (UX). It brings together the key theoretical foundations of human experiences when people interact with and through technologies. It explores UX in a wide variety of environments and contexts.
Written from the perspective of a large industrial enterprise, this practical book provides an actionable methodology for IoT project managers, based on real-world IoT case studies. Current hype aside, the Internet of Things will ultimately become as fundamental as the Internet itself, with lots of opportunities and trials along the way. To help you navigate these choppy waters, this practical guide introduces a dedicated methodology for businesses preparing to transition towards IoT-based business models.
This timely book provides broad coverage of security and privacy issues in the macro and micro perspective. In macroperspective, the system and algorithm fundamentals of next-generation wireless networks are discussed. In micro-perspective, this book focuses on the key secure and privacy techniques in different emerging networks from the interconnection view of human and cyber-physical world. This book includes 7 chapters from prominent international researchers working in this subject area. This book serves as a useful reference for researchers, graduate students, and practitioners seeking solutions to wireless security and privacy related issues Recent advances in wireless communication technologies have enabled the large-scale deployment of next-generation wireless networks, and many other wireless applications are emerging. The next generation of mobile networks continues to transform the way people communicate and access information. As a matter of fact, next-generation emerging networks are exploiting their numerous applications in both military and civil fields. For most applications, it is important to guarantee high security of the deployed network in order to defend against attacks from adversaries, as well as the privacy intrusion. The key target in the development of next-generation wireless networks is to promote the integration of the human, cyber, and physical worlds. Previous work in Cyber Physical Systems (CPS) considered the connection between the cyber world and the physical world. In the recent studies, human involvement brings new channels and initiatives in this interconnection. In this integration process, security and privacy are critical issues to many wireless network applications, and it is a paramount concern for the growth of next-generation wireless networks. This is due to the open nature of wireless communication and the involvement of humans. New opportunities for tackling these security and privacy issues in next-generation wireless networks will be achieved by leveraging the properties of interaction among human, computers and things.
In the 1990´s it was realized that quantum physics has some spectacular applications in computer science. This book is a concise introduction to quantum computation, developing the basic elements of this new branch of computational theory without assuming any background in physics. It begins with an introduction to the quantum theory from a computer-science perspective. It illustrates the quantum-computational approach with several elementary examples of quantum speed-up, before moving to the major applications: Shor´s factoring algorithm, Grover´s search algorithm, and quantum error correction. The book is intended primarily for computer scientists who know nothing about quantum theory, but will also be of interest to physicists who want to learn the theory of quantum computation, and philosophers of science interested in quantum foundational issues. It evolved during six years of teaching the subject to undergraduates and graduate students in computer science, mathematics, engineering, and physics, at Cornell University.
The big data tsunami changes the perspective of industrial and academic research in how they address both foundational questions and practical applications. This calls for a paradigm shift in algorithms and the underlying mathematical techniques. There is a need to understand foundational strengths and address the state of the art challenges in big data that could lead to practical impact. The main goal of this book is to introduce algorithmic techniques for dealing with big data sets. Traditional algorithms work successfully when the input data fits well within memory. In many recent application situations, however, the size of the input data is too large to fit within memory. Models of Computation for Big Data, covers mathematical models for developing such algorithms, which has its roots in the study of big data that occur often in various applications. Most techniques discussed come from research in the last decade. The book will be structured as a sequence of algorithmic ideas, theoretical underpinning, and practical use of that algorithmic idea. Intended for both graduate students and advanced undergraduate students, there are no formal prerequisites, but the reader should be familiar with the fundamentals of algorithm design and analysis, discrete mathematics, probability and have general mathematical maturity.
Listening to, buying and sharing music is an immensely important part of everyday life. Yet recent technological developments are increasingly changing how we use and consume music. This book collects together the most recent studies of music consumption, and new developments in music technology. It combines the perspectives of both social scientists and technology designers, uncovering how new music technologies are actually being used, along with discussions of new music technologies still in development. With a specific focus on the social nature of music, the book breaks new ground in bringing together discussions of both the social and technological aspects of music use. Chapters cover topics such as the use of the iPod, music technologies which encourage social interaction in public places, and music sharing on the internet. A valuable collection for anyone concerned with the future of music technology, this book will be of particular interest to those designing new music technologies, those working in the music industry, along with students of music and new technology.