With this practical book, you'll explore the often-misunderstood practice of user story mapping, and learn how it can help keep your team stay focused on users and their experience throughout the development process.You and your team will learn that user stories aren't a way to write better specifications, but a way to organize and have better conversations. This book will help you understand what kinds of conversations you should be having, when to have them, and what to keep track of when you do. Learn the key concepts used to create a great story map. Understand how user stories really work, and how to make good use of them in agile and lean projects. Examine the nuts and bolts of managing stories through the development cycle. Use strategies that help you continue to learn before and after the product's release to customers and usersUser Story Mapping is ideal for agile and lean software development team members, product managers and UX practitioners in commercial product companies, and business analysts and project managers in IT organizations—whether you're new to this approach or want to understand more about it.

    The Humane Interface is a gourmet dish from a master chef. Five mice! --Jakob Nielsen, Nielsen Norman Group Author of Designing Web Usability: The Practice of Simplicity This unique guide to interactive system design reflects the experience and vision of Jef Raskin, the creator of the Apple Macintosh. Other books may show how to use todays widgets and interface ideas effectively. Raskin, however, demonstrates that many current interface paradigms are dead ends, and that to make computers significantly easier to use requires new approaches. He explains how to effect desperately needed changes, offering a wealth of innovative and specific interface ideas for software designers, developers, and product managers. The Apple Macintosh helped to introduce a previous revolution in computer interface design, drawing on the best available technology to establish many of the interface techniques and methods now universal in the computer industry. With this book, Raskin proves again both his farsightedness and his practicality. He also demonstrates how design ideas must be bui

    A daily tool of the trade for specialists. Handbook of Usability Testing gives you practical, step-by-step guidelines in plain English. Written by Jeffrey Rubin, it arms beginners with the full complement of proven testing tools and techniques. From software, GUIs, and technical documentation, to medical instruments, VCRs, and exercise bikes, no matter what your product, you'll learn to design and administer extremely reliable tests to ensure that people find it easy and desirable to use. * Requires no engineering or human factors training * A rigorous, step-by-step approach--with an eye to common gaffes and pitfalls--saves you months of trial and error * Liberally peppered with real-life examples and case histories taken from a wide range of industries * Packed with extremely usable templates, models, tables, test plans, and other indispensable tools of the trade

    Completely updated to comprehensively reflect the most recent changes to the ISTQB Foundation Syllabus, the book adopts a practical, hands-on approach, covering the fundamental topics that every system and software tester should know. The authors are themselves developers of the ISTQB syllabus and are highly respected international authorities, teachers and authors within the field of software testing.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    We start off easy, defining some of the tech lingo you may have heard before, but didn’t fully understand. From there, each lesson introduces something new, slowly building up to the point where you are confident about what an API is and, for the brave, could actually take a stab at using one.

    Written by Peter Morville, author of the groundbreaking Information Architecture for the World Wide Web, the book defines our current age as a state of unlimited findability. In other words, anyone can find anything at any time. Complete navigability.Morville discusses the Internet, GIS, and other network technologies that are coming together to make unlimited findability possible. He explores how the melding of these innovations impacts society, since Web access is now a standard requirement for successful people and businesses. But before he does that, Morville looks back at the history of wayfinding and human evolution, suggesting that our fear of being lost has driven us to create maps, charts, and now, the mobile Internet.The book's central thesis is that information literacy, information architecture, and usability are all critical components of this new world order. Hand in hand with that is the contention that only by planning and designing the best possible software, devices, and Internet, will we be able to maintain this connectivity in the future. Morville's book is highlighted with full color illustrations and rich examples that bring his prose to life.Ambient Findability doesn't preach or pretend to know all the answers. Instead, it presents research, stories, and examples in support of its novel ideas. Are we truly at a critical point in our evolution where the quality of our digital networks will dictate how we behave as a species? Is findability indeed the primary key to a successful global marketplace in the 21st century and beyond. Peter Morville takes you on a thought-provoking tour of these memes and more -- ideas that will not only fascinate but will stir your creativity in practical ways that you can apply to your work immediately.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    This book is aimed at the working Rails developer who is looking to grow and evolve Rails projects while keeping them flexible, maintainable, and robust. The focus is on pragmatic solutions which tread a “middle way” between the expedience of the Rails “golden path”, and rigid OO purity.

    Information is provided on the fundamental concepts of table and graph design, the numbers and knowledge most suitable for display in a graphic form, the best tabular means to communicate certain ideas, and the component-level aspects of design. Analysts, technicians, and managers will appreciate the solid theory behind this outline for ensuring that tables and graphs present quantitative business information in a truthful, attractive format that facilitates better decision making.

    Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. "Machine Learning for Hackers" is ideal for programmers from any background, including business, government, and academic research.Develop a naive Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a "whom to follow" recommendation system from Twitter data

    It describes how to index your data, including types you definitely need to know such as MS Word, PDF, HTML, and XML. It introduces you to searching, sorting, filtering, and highlighting search results.Lucene powers search in surprising placesWhat's Inside- How to integrate Lucene into your applications- Ready-to-use framework for rich document handling- Case studies including Nutch, TheServerSide, jGuru, etc.- Lucene ports to Perl, Python, C#/.Net, and C++- Sorting, filtering, term vectors, multiple, and remote index searching- The new SpanQuery family, extending query parser, hit collecting- Performance testing and tuning- Lucene add-ons (hit highlighting, synonym lookup, and others)

    Along the way, they introduce 22 thinking tools that can help you customize the right agile practices for any environment.Better, cheaper, faster software development. You can have all three-if you adopt the same lean principles that have already revolutionized manufacturing, logistics and product development.Iterating towards excellence: software development as an exercise in discovery Managing uncertainty: decide as late as possible by building change into the system. Compressing the value stream: rapid development, feedback, and improvement Empowering teams and individuals without compromising coordination Software with integrity: promoting coherence, usability, fitness, maintainability, and adaptability How to see the whole-even when your developers are scattered across multiple locations and contractors Simply put, Lean Software Development helps you refocus development on value, flow, and people-so you can achieve breakthrough quality, savings, speed, and business alignment.

    Developers of any kind of application should read this book." Grady Booch"A comprehensive solution to the requirements challenges faced by every development team. Full of insight and ideas all developers can learn from." Ivar JacobsonDespite the wealth of development knowledge, experience, and tools available today, a substantial percentage of software projects fail, often because requirements are not correctly determined and defined at the outset, or are not managed correctly as the project unfolds. This second edition of the popular text Managing Software Requirements focuses on this critical cause of failure and offers a practical, proven approach to building systems that meet customers' needs on time and within budget.Using an accessible style, their own war stories, and a comprehensive case study, the authors show how analysts and developers can effectively identify requirements by applying a variety of techniques, centered on the power of use cases. The book illustrates proven techniques for determining, implementing, and validating requirements. It describes six vital Team Skills for managing requirements throughout the lifecycle of a project: Analyzing the Problem, Understanding User Needs, Defining the System, Managing Scope, Refining the System Definition, and Building the Right System. Managing Software Requirements, Second Edition, specifically addresses the ongoing challenge of managing change and describes a process for assuring that project scope is successfully defined and agreed upon by all stakeholders.Topics covered include:The five steps in problem analysisBusiness modeling and system engineeringTechniques for eliciting requirements from customers and stakeholdersEstablishing and managing project scopeApplying and refining use casesProduct managementTransitioning from requirements to design and implementationTransitioning from use cases to test casesAgile requirements methods

     In the Guide, you'll learn how to: -Use the Ubuntu command line. -Manage users, groups, and file permissions. -Install software on a Ubuntu system, both from the command line and the GUI. -Configure network settings. -Use the vi editor to edit system configuration files. -Install and configure a Samba server for file sharing. -Install SSH for remote system control using public key/private key encryption. -Install a DHCP server for IP address management. -Install a LAMP server. -Install web applications like WordPress and Drupal. -Configure an FTP server. -Manage ebooks. -Convert digital media. -Manage and configure Unity, the default Ubuntu environment. -Manage and halt processes from the command line. -Set up both a VNC server and a client. -Enjoy games on Ubuntu. -And many other topics.