Your code is a testament to your skills as a developer. No matter what language you use, code should be clean, elegant, and uncluttered. By using test-driven development (TDD), you'll write code that's easy to understand, retains its elegance, and works for months, even years, to come. With this indispensable guide, you'll learn how to use TDD with three different languages: Go, JavaScript, and Python. Author Saleem Siddiqui shows you how to tackle domain complexity using a unit test-driven approach. TDD partitions requirements into small, implementable features, enabling you to solve problems irrespective of the languages and frameworks you use. With Learning Test-Driven Development at your side, you'll learn how to incorporate TDD into your regular coding practice. This book helps you: Use TDD's divide-and-conquer approach to tame domain complexity Understand how TDD works across languages, testing frameworks, and domain concepts Learn how TDD enables continuous integration Support refactoring and redesign with TDD Learn how to write a simple and effective unit test harness in JavaScript Set up a continuous integration environment with the unit tests produced during TDD Write clean, uncluttered code using TDD in Go, JavaScript, and Python

Another day without Test-Driven Development means more time wasted chasing bugs and watching your code deteriorate. You thought TDD was for someone else, but it's not! It's for you, the embedded C programmer. TDD helps you prevent defects and build software with a long useful life. This is the first book to teach the hows and whys of TDD for C programmers. TDD is a modern programming practice C developers need to know. It's a different way to program---unit tests are written in a tight feedback loop with the production code, assuring your code does what you think. You get valuable feedback every few minutes. You find mistakes before they become bugs. You get early warning of design problems. You get immediate notification of side effect defects. You get to spend more time adding valuable features to your product. James is one of the few experts in applying TDD to embedded C. With his 1.5 decades of training,coaching, and practicing TDD in C, C++, Java, and C# he will lead you from being a novice in TDD to using the techniques that few have mastered. This book is full of code written for embedded C programmers. You don't just see the end product, you see code and tests evolve. James leads you through the thought process and decisions made each step of the way. You'll learn techniques for test-driving code right nextto the hardware, and you'll learn design principles and how to apply them to C to keep your code clean and flexible. To run the examples in this book, you will need a C/C++ development environment on your machine, and the GNU GCC tool chain or Microsoft Visual Studio for C++ (some project conversion may be needed).

Control your machine learning algorithms using test-driven development to achieve quantifiable milestones About This Book Build smart extensions to pre-existing features at work that can help maximize their value Quantify your models to drive real improvement Take your knowledge of basic concepts, such as linear regression and Naive Bayes classification, to the next level and productionalize their models Play what-if games with your models and techniques by following the test-driven exploration process Who This Book Is For This book is intended for data technologists (scientists, analysts, or developers) with previous machine learning experience who are also comfortable reading code in Python. You may be starting, or have already started, a machine learning project at work and are looking for a way to deliver results quickly to enable rapid iteration and improvement. Those looking for examples of how to isolate issues in models and improve them will find ideas in this book to move forward. What You Will Learn Get started with an introduction to test-driven development and familiarize yourself with how to apply these concepts to machine learning Build and test a neural network deterministically, and learn to look for niche cases that cause odd model behaviour Learn to use the multi-armed bandit algorithm to make optimal choices in the face of an enormous amount of uncertainty Generate complex and simple random data to create a wide variety of test cases that can be codified into tests Develop models iteratively, even when using a third-party library Quantify model quality to enable collaboration and rapid iteration Adopt simpler approaches to common machine learning algorithms Take behaviour-driven development principles to articulate test intent In Detail Machine learning is the process of teaching machines to remember data patterns, using them to predict future outcomes, and offering choices that would appeal to individuals based on their past preferences. Machine learning is applicable to a lot of what you do every day. As a result, you can't take forever to deliver your first iteration of software. Learning to build machine learning algorithms within a controlled test framework will speed up your time to deliver, quantify quality expectations with your clients, and enable rapid iteration and collaboration. This book will show you how to quantifiably test machine learning algorithms. The very different, foundational approach of this book starts every example algorithm with the simplest thing that could possibly work. With this approach, seasoned veterans will find simpler approaches to beginning a machine learning algorithm. You will learn how to iterate on these algorithms to enable rapid delivery and improve performance expectations. The book begins with an introduction to test driving machine learning and quantifying model quality. From there, you will test a neural network, predict values with regression, and build upon regression techniques with logistic regression. You will discover how to test different approaches to naive bayes and compare them quantitatively, along with how to apply OOP (Object-Oriented Programming) and OOP patterns to test-driven code, leveraging SciKit-Learn. Finally, you will walk through the development of an algorithm which maximizes the expected value of profit for a marketing campaign by combining one of the classifiers covered with the multiple regression example in the book. Style and approach An example-driven guide that builds a deeper knowledge and understanding of iterative machine learning development, test by test. Each topic develops solutions using failing tests to illustrate problems; these are followed by steps to pass the tests, simply and straightforwardly. Topics which use generated data explore how the data was generated, alongside explanations of the assumptions behind different machine learning techniques.

Develop applications for the real world with a thorough software testing approach Key Features Develop a thorough understanding of TDD and how it can help you develop simpler applications with no defects using C# and JavaScript Adapt to the mindset of writing tests before code by incorporating business goals, code manageability, and other factors Make all your software units and modules pass tests by analyzing failed tests and refactoring code as and when required Book Description Test-Driven Development (TDD) is a methodology that helps you to write as little as code as possible to satisfy software requirements, and ensures that what you've written does what it's supposed to do. If you're looking for a practical resource on Test-Driven Development this is the book for you. You've found a practical end-to-end guide that will help you implement Test-Driven Techniques for your software development projects. You will learn from industry standard patterns and practices, and shift from a conventional approach to a modern and efficient software testing approach in C# and JavaScript. This book starts with the basics of TDD and the components of a simple unit test. Then we look at setting up the testing framework so that you can easily run your tests in your development environment. You will then see the importance of defining and testing boundaries, abstracting away third-party code (including the .NET Framework), and working with different types of test double such as spies, mocks, and fakes. Moving on, you will learn how to think like a TDD developer when it comes to application development. Next, you'll focus on writing tests for new/changing requirements and covering newly discovered bugs, along with how to test JavaScript applications and perform integration testing. You’ll also learn how to identify code that is inherently un-testable, and identify some of the major problems with legacy applications that weren’t written with testability in mind. By the end of the book, you’ll have all the TDD skills you'll need and you’ll be able to re-enter the world as a TDD expert! What you will learn The core concepts of TDD Testing in action with a real-world case study in C# and JavaScript using React Writing proper Unit Tests and testable code for your application Using different types of test double such as stubs, spies, and mocks Growing an application guided by tests Exploring new developments on a green-field application Mitigating the problems associated with writing tests for legacy applications Modifying a legacy application to make it testable Who this book is for This book is for software developers with a basic knowledge of Test Driven Development (TDD) who want a thorough understanding of how TDD can benefit them and the applications they produce. The examples in this book are in C#, and you will need a basic understanding of C# to work through these examples.

By taking you through the development of a real web application from beginning to end, this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python. You’ll learn how to write and run tests before building each part of your app, and then develop the minimum amount of code required to pass those tests. The result? Clean code that works. In the process, you’ll learn the basics of Django, Selenium, Git, jQuery, and Mock, along with current web development techniques. If you’re ready to take your Python skills to the next level, this book clearly demonstrates how TDD encourages simple designs and inspires confidence. Dive into the TDD workflow, including the unit test/code cycle and refactoring Use unit tests for classes and functions, and functional tests for user interactions within the browser Learn when and how to use mock objects, and the pros and cons of isolated vs. integrated tests Test and automate your deployments with a staging server Apply tests to the third-party plugins you integrate into your site Use a Continuous Integration environment to run your tests automatically

A PHP developer's practical guide to planning, writing, and deploying maintainable and extensible software solutions with automated tests in a well-structured way Key FeaturesLearn to organize and translate business requirements into maintainable softwareMinimize regressions and bugs while releasing new features or bug fixesBuild maintainable applications using SOLID principlesBook Description PHP web developers end up building complex enterprise projects without prior experience in test-driven and behavior-driven development which results in software that's complex and difficult to maintain. This step-by-step guide helps you manage the complexities of large-scale web applications. It takes you through the processes of working on a project, starting from understanding business requirements and translating them into actual maintainable software, to automated deployments. You'll learn how to break down business requirements into workable and actionable lists using Jira. Using those organized lists of business requirements, you'll understand how to implement behavior-driven development (BDD) and test-driven development (TDD) to start writing maintainable PHP code. You'll explore how to use the automated tests to help you stop introducing regressions to an application each time you release code by using continuous integration. By the end of this book, you'll have learned how to start a PHP project, break down the requirements, build test scenarios and automated tests, and write more testable and maintainable PHP code. By learning these processes, you'll be able to develop more maintainable, and reliable enterprise PHP applications. What you will learnUnderstand how to start a software projectDiscover how to use Jira as a tool to organize your tasksExplore when and how to write unit, integration, and functional tests using PHPUnitWrite behavior-driven tests using BehatApply SOLID principles to help you write more testable codeGet the most out of your automated tests by using continuous integrationUse continuous delivery to help you prepare your application for deploymentWho this book is for This book is for PHP software developers looking to implement TDD and BDD in their projects. An understanding of object-oriented programming is required to get the most out of this book. Professional software development experience will also be beneficial to understand real-life business cases.

Learn test-driven and behavior-driven development techniques that will give you greater confidence when building React applications Key FeaturesExplore the TDD process, how it works, and why it will help you write maintainable React appsDevelop a component testing framework from scratch, which will help you understand the mechanics of good unit testingReduce complexity by using unit tests and end-to-end acceptance tests to drive the design of your appsBook Description Test-driven development (TDD) is a programming workflow that helps you build your apps by specifying behavior as automated tests. The TDD workflow future-proofs apps so that they can be modified without fear of breaking existing functionality. Another benefit of TDD is that it helps software development teams communicate their intentions more clearly, by way of test specifications. This book teaches you how to apply TDD when building React apps. You'll create a sample app using the same React libraries and tools that professional React developers use, such as Jest, React Router, Redux, Relay (GraphQL), Cucumber, and Puppeteer. The TDD workflow is supported by various testing techniques and patterns, which are useful even if you're not following the TDD process. This book covers these techniques by walking you through the creation of a component test framework. You'll learn automated testing theory which will help you work with any of the test libraries that are in standard usage today, such as React Testing Library. This second edition has been revised with a stronger focus on concise code examples and has been fully updated for React 18. By the end of this TDD book, you'll be able to use React, Redux, and GraphQL to develop robust web apps. What you will learnBuild test-driven applications using React 18 and JestUnderstand techniques and patterns for writing great automated testsUse test doubles and mocks effectivelyTest-drive browser APIs, including the Fetch API and the WebSocket APIIntegrate with libraries such as React Router, Redux, and Relay (GraphQL)Use Cucumber.js and Puppeteer to build Behaviour- Driven Development (BDD) style tests for your applicationsBuild and test async Redux code using redux-saga and expect-reduxWho this book is for This book is for frontend developers who are looking to improve their testing practices and increase the quality and maintainability of their applications. To make the most of this book, you'll need knowledge of the JavaScript programming language.

Learn the basics of test driven development (TDD) using Ruby. You will carry out problem domain analysis, solution domain analysis, designing test cases, and writing tests first. These fundamental concepts will give you a solid TDD foundation to build upon. Test Driven Development in Ruby is written by a developer for developers. The concepts are first explained, then a coding demo illustrates how to apply the theory in practice. At the end of each chapter an exercise is given to reinforce the material. Complete with working files and code samples, you'll be able to work alongside the author, a trainer, by following the material in this book. What You Will Learn Carry out problem domain analysis, solution domain analysis, designing test cases, and writing tests first Use assertions Discover the structure of a test and the TDD cycle Gain an understanding of minimal implementation, starter test, story test, and next test Handle refactoring using Ruby Hide implementation details Test precisely and concretely Make your code robust Who This Book Is For Experienced Ruby programmers or web developers with some prior experience with Ruby.

Learn how to apply a test-driven development process by building ready C# 7 and .NET Core applications. Key Features Create tests to quickly detect and resolve issues when writing portable code Uncover code integration issues that improve code quality using continuous integration Set up and use data-driven unit testing to verify your code Book Description This book guides developers to create robust, production-ready C# 7 and .NET Core applications through the practice of test-driven development process. In C# and .NET Core Test-Driven Development, you will learn the different stages of the TDD life cycle, basics of TDD, best practices, and anti-patterns. It will teach you how to create an ASP.NET Core MVC sample application, write testable code with SOLID principles and set up a dependency injection for your sample application. Next, you will learn the xUnit testing framework and learn how to use its attributes and assertions. You’ll see how to create data-driven unit tests and mock dependencies in your code. You will understand the difference between running and debugging your tests on .NET Core on LINUX versus Windows and Visual Studio. As you move forward, you will be able to create a healthy continuous integration process for your sample application using GitHub, TeamCity, Cake, and Microsoft VSTS. By the end of this book, you will have learned how to write clean and robust code through the effective practice of TDD, set up CI build steps to test and build applications as well as how to package application for deployment on NuGet. What you will learn Write flexible, maintainable, and verifiable code for .NET Core Write testable code using SOLID principles and dependency injections Recognize the characteristics of a good unit test Structure and group your unit test Use mock objects to handle dependencies Set up an end-to-end continuous integration process Who this book is for This book is for .NET developers who would like to build efficient applications by implementing principles of test-driven development. C# programming and working knowledge of VS is assumed.

Learn how to write software that excites your customers and avoids breaking your work when making changes Key FeaturesLearn how a simple shift in focus will let you use tests to meet customer needsDevelop a testing library and a logging library that you can use in your own projectsDrive better code designs with effective tests that help new team members contribute fasterBook Description Modern, standard C++ is all that is needed to create a small and practical testing framework that will improve the design of any project. This allows you to think about how the code will be used, which is the first step in designing intuitive interfaces. TDD is a modern balanced software development approach that helps to create maintainable applications, provide modularity in design, and write minimal code that drastically reduces defects. With the help of this book, you'll be able to continue adding value when designs need to change by ensuring that the changes don't break existing tests. In this book, you will use test-driven development (TDD) to gain practical skills by writing a simple testing framework and then using it to drive the design of a logging library. The book will help you enhance your software development skills with test cases. You'll understand how to design and implement test cases. The chapters will also show you how to utilize the TDD approach to be more productive in software development than attempting to code in large unstructured steps. By the end of this book, you'll have gained knowledge of TDD and testing and also built a working logging library with unique features not found in other libraries. What you will learnUnderstand how to develop software using TDDKeep the code for the system as error-free as possibleRefactor and redesign code confidentlyCommunicate the requirements and behaviors of the code with your teamUnderstand the differences between unit tests and integration testsUse TDD to create a minimal viable testing frameworkWho this book is for This book is for C++ developers already familiar with and using C++ for daily tasks who want to improve their skillset. You don't need to be an expert but you should already have some knowledge of modern C++ and how to use templates to get the most out of this book.