Foreword by Kent Beck The authors of this book have led a revolution in the craft of programming by controlling the environment in which software grows.´´ --Ward Cunningham ´´At last, a book suffused with code that exposes the deep symbiosis between TDD and OOD. This one´s a keeper.´´ --Robert C. Martin ´´If you want to be an expert in the state of the art in TDD, you need to understand the ideas in this book.´´-- Michael Feathers Test-Driven Development (TDD) is now an established technique for delivering better software faster. TDD is based on a simple idea: Write tests for your code before you write the code itself. However, this simple idea takes skill and judgment to do well. Now there´s a practical guide to TDD that takes you beyond the basic concepts. Drawing on a decade of experience building real-world systems, two TDD pioneers show how to let tests guide your development and ´´grow´´ software that is coherent, reliable, and maintainable. Steve Freeman and Nat Pryce describe the processes they use, the design principles they strive to achieve, and some of the tools that help them get the job done. Through an extended worked example, you´ll learn how TDD works at multiple levels, using tests to drive the features and the object-oriented structure of the code, and using Mock Objects to discover and then describe relationships between objects. Along the way, the book systematically addresses challenges that development teams encounter with TDD--from integrating TDD into your processes to testing your most difficult features. Coverage includes - Implementing TDD effectively: getting started, and maintaining your momentum throughout the project - Creating cleaner, more expressive, more sustainable code - Using tests to stay relentlessly focused on sustaining quality - Understanding how TDD, Mock Objects, and Object-Oriented Design come together in the context of a real software development project - Using Mock Objects to guide object-oriented designs - Succeeding where TDD is difficult: managing complex test data, and testing persistence and concurrency
Written by members of the development team that maintains Subversion, this is the official guide and reference manual for the popular open source revision control technology. The new edition covers Subversion 1.5 with a complete introduction and guided tour of its capabilities, along with best practice recommendations. Version Control with Subversion is useful for people from a wide variety of backgrounds, from those with no previous version control experience to experienced system administrators. Subversion is the perfect tool to track individual changes when several people collaborate on documentation or, particularly, software development projects. As a more powerful and flexible successor to the CVS revision control system, Subversion makes life so much simpler, allowing each team member to work separately and then merge source code changes into a single repository that keeps a record of each separate version. Inside the updated edition Version Control with Subversion, you´ll find: - An introduction to Subversion and basic concepts behind version control - A guided tour of the capabilities and structure of Subversion 1.5 Guidelines for installing and configuring Subversion to manage programming, documentation, or any other team-based project - Detailed coverage of complex topics such as branching and repository administration - Advanced features such as properties, externals, and access control - A guide to best practices - Complete Subversion reference and troubleshooting guide If you´ve never used version control, you´ll find everything you need to get started. And if you´re a seasoned CVS pro, this book will help you make a painless leap into Subversion.
Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You´ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You´ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You´ll Learn Gain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agents Who This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence - with the aim of improving patient health, population health and facilitating significant care-payer cost savings.
Algebraic Cryptanalysis bridges the gap between a course in cryptography, and being able to read the cryptanalytic literature. This book is divided into three parts: Part One covers the process of turning a cipher into a system of equations; Part Two covers finite field linear algebra; Part Three covers the solution of Polynomial Systems of Equations, with a survey of the methods used in practice, including SAT-solvers and the methods of Nicolas Courtois. Topics include: Analytic Combinatorics, and its application to cryptanalysis The equicomplexity of linear algebra operations Graph coloring Factoring integers via the quadratic sieve, with its applications to the cryptanalysis of RSA Algebraic Cryptanalysis is designed for advanced-level students in computer science and mathematics as a secondary text or reference book for self-guided study. This book is suitable for researchers in Applied Abstract Algebra or Algebraic Geometry who wish to find more applied topics or practitioners working for security and communications companies.
Contextual Design: Design for Life, Second Edition, describes the core techniques needed to deliberately produce a compelling user experience. Contextual design was first invented in 1988 to drive a deep understanding of the user into the design process. It has been used in a wide variety of industries and taught in universities all over the world. Until now, the basic CD approach has needed little revision, but with the wide adoption of handheld devices, especially smartphones, the way technology is integrated into people´s lives has fundamentally changed. Contextual Design V2.0 introduces both the classic CD techniques and the new techniques needed to ´´design for life´´, fulfilling core human motives while supporting activities. This completely updated and revised edition is written in a clear, informal style without excessive jargon, and is the must-have book for any UX Design library. Users will find coverage of mobile devices and consumer and business products, all illustrated with new examples, case studies, and discussions on how to use CD with the agile development and other project requirements methods. Provides tactics on how to gather detailed data on how people live, work, and use products Helps develop a coherent picture of a whole user population Presents tactics on how to use the seven ´´Cool Concepts´´ to support core human motives and generate new product concepts guided by user data, ideation techniques, and principles key to producing a compelling user experience Explains how to structure the system and user interface to best support the user across place, time, and platform
Multi-agent systems are claimed to be especially suited to the development of software systems that are decentralized, can deal flexibly with dynamic conditions, and are open to system components that come and go. This is why they are used in domains such as manufacturing control, automated vehicles, and e-commerce markets. Danny Weyns´ book is organized according to the postulate that ´´developing multi-agent systems is 95% software engineering and 5% multi-agent systems theory.´´ He presents a software engineering approach for multi-agent systems that is heavily based on software architecture - with, for example, tailored patterns such as ´´situated agent´´, ´´virtual environment´´, and ´´selective perception´´ - and on middleware for distributed coordination - with programming abstractions such as ´´views´´ and ´´roles.´´ Next he shows the feasibility and applicability of this approach with the development of an automated transportation system consisting of a number of automatic guided vehicles transporting loads in an industrial setting. Weyns puts the development of multi-agent systems into a larger perspective with traditional software engineering approaches. With this, he opens up opportunities to exploit the body of knowledge developed in the multi-agent systems community to tackle some of the difficult challenges of modern-day software systems, such as decentralized control, location-awareness, self-adaption, and large-scale. Thus his book is of interest for both researchers and industrial software engineers who develop applications in areas such as distributed control systems and mobile applications where such requirements are of crucial importance.