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Название: Mastering Design Patterns for Layered Testing: Master Strategic Test Design, Enhance Automation, and Integrate CI/CD Seamlessly Across API and UI Layers with Python Автор: Manish Saini Издательство: Orange Education Pvt Ltd, AVA Год: 2025 Страниц: 376 Язык: английский Формат: epub (true) Размер: 10.4 MB
Master Layered Test Automation and Build Integrate and Deploy with Confidence.
Key Features: - Implement automated testing across UI, API, and backend for robust coverage - Seamlessly integrate test automation with CI/CD pipelines for efficiency - Master advanced testing strategies for microservices and distributed systems
Book Description: In today’s fast-paced software development landscape, ensuring application quality requires a strategic approach to test automation. Mastering Design Patterns for Layered Testing empowers you with the knowledge and tools to design, implement, and optimize automation across UI, API, and backend layers using Python’s powerful ecosystem.
Starting with foundational concepts like test design patterns and the Test Pyramid, the book delves into practical implementations of unit testing, integration testing, API testing, and contract testing. You’ll learn how to integrate automated tests into CI/CD pipelines using GitHub Actions, generate detailed test reports with Allure, and address modern testing challenges such as microservices and containerized environments. Real-world case studies illustrate how to apply these techniques in production settings.
A dedicated chapter on Generative AI in testing explores its applications in test case generation and test data creation. Whether you're an intermediate tester looking to enhance your automation skills or an experienced professional seeking to learn advanced strategies, this book provides the expertise needed to build scalable and reliable test automation frameworks that drive software quality and efficiency. Stay ahead of the curve—master next-gen test automation before it’s too late!
What you will learn: - Design and implement scalable test automation across all application layers - Build robust test frameworks using Python’s advanced testing ecosystem - Seamlessly integrate automated tests into modern CI/CD pipelines - Apply advanced testing patterns for APIs, microservices, and UI components - Utilize contract testing and performance testing for reliable applications - Leverage Generative AI to enhance test coverage and efficiency
The book takes a practical, hands-on approach to test automation, incorporating real-world examples and industry best practices. It covers essential tools and frameworks, with a special focus on Python and its powerful testing ecosystem. Readers will learn how to design and implement robust automation frameworks, integrate tests into CI/CD pipelines, and leverage advanced techniques for API, UI, and contract testing.
This book is divided into 11 chapters that progressively build your understanding of test automation: Chapter 1 explores test design patterns, their importance in automation, and strategies for implementing them effectively. It covers fundamental principles of test design, different types of patterns, and their practical applications in real-world scenarios. Chapter 2 delves into test design practices, examining how to create maintainable and scalable test suites. It discusses best practices, common pitfalls, and techniques for writing effective test cases. Chapter 3 focuses on unit testing strategies, introducing key concepts and frameworks. It explains how to write effective unit tests, manage test dependencies, and achieve comprehensive code coverage. Chapter 4 covers integration testing approaches, demonstrating how to validate interactions between different components of an application. It explores various integration testing strategies and tools for ensuring reliable component communication. Chapter 5 addresses API testing techniques, providing detailed guidance on validating REST APIs, handling authentication, and ensuring API reliability. It includes practical examples using popular testing tools and frameworks. Chapter 6 introduces contract testing, explaining its importance in microservices architectures. It covers consumer-driven contracts, provider verification, and tools for implementing effective contract testing. Chapter 7 examines strategies for distributing tests across UI, API, and backend layers. It discusses how to maintain test efficiency while ensuring comprehensive coverage across different application layers. Chapter 8 focuses on integrating tests into CI/CD pipelines, demonstrating how to automate test execution and maintain reliable deployment processes. It covers tools, best practices, and strategies for efficient pipeline integration. Chapter 9 explores advanced CI/CD strategies, including parallel test execution, test optimization, and pipeline monitoring. It addresses challenges in scaling test automation and maintaining pipeline efficiency. Chapter 10 looks at the future of test automation, discussing emerging trends like AI-driven testing, self-healing tests, and advanced automation frameworks. It includes a bonus chapter on leveraging Generative AI in testing. Chapter 11 explores the transformative potential of Generative AI in test automation. This additional chapter delves into how GenAI is revolutionizing testing practices through intelligent test case generation, dynamic test data creation, and enhanced test coverage.
Who is this book for? This book is ideal for QA engineers and developers with intermediate programming skills who want to elevate their test automation expertise. A foundational understanding of testing concepts, web technologies, APIs, and Git version control will enable readers to fully grasp and implement the advanced automation strategies covered.
Whether you are new to test automation or an experienced practitioner looking to enhance your skills, this book provides valuable insights and practical guidance. Each chapter includes real-world examples, code samples, and best practices that you can apply immediately in your projects. The book emphasizes not just the "how" but also the "why" of test automation, helping readers make informed decisions about testing strategies in their own environments.
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