
Explore modern frontend testing beyond unit tests, focusing on practices that ensure clean, bug-free code delivery in today's rapid deployment environment.

Explore advanced Boost.Test usage in production, including execution monitoring, floating point exception handling, in-place unit testing, and integrating test tools into components.

Explore designing testable components in distributed systems, focusing on Battle.net's development. Learn practical strategies for structuring classes, ensuring correctness, and evaluating performance without full-scale deployment.

Explores challenges in unit testing object-oriented code, discussing dependency injection, access to private dependencies, and potential solutions to make testing less intrusive in C++ development.

Exploring the evolution and benefits of C++ development tools, from basic editors to advanced IDEs, highlighting features that enhance productivity and code quality.

Explore D programming language's competitive advantages, focusing on compile-time features, safety, and productivity. Learn how D simplifies systems programming and enhances software engineering.

Explore mocking in C++ for efficient unit testing without dependencies. Learn techniques to create mock objects, overcome limitations, and improve test reliability and speed.

Explore C++17's std::pmr, its benefits and costs in large codebases. Learn about polymorphic allocators, their impact on move semantics, testing, performance, and when to use them effectively.

Explore a new macro-free C++20 testing framework that simplifies unit testing with modern features like modules, concepts, and lambdas. Learn to write expressive, efficient tests for C++ projects.

Explore techniques for encapsulating and modernizing external APIs in enterprise systems, focusing on efficient interfaces, localized decoupling, and seamless migration paths for codebase changes.

Explore doctests for embedding examples in docstrings, learn about Xdoctest as an alternative to Python's builtin module, and discover how to enhance test-driven development with interactive code demos.

Learn to write high-quality Python unit tests using Pytest and mock. Master best practices for effective testing, enhancing code reliability and maintainability.

Discover property-based testing with Hypothesis to write more robust and efficient tests. Learn to define input types, create generalized tests, and uncover hidden bugs in your Python code.

Discover property-based testing with Hypothesis to write more robust and effective tests. Learn to define input strategies, create generalized tests, and uncover hidden bugs in your Python code.

Aprende a escribir pruebas unitarias efectivas con pytest, incluyendo buenas prácticas, mocks y características avanzadas para mejorar la calidad del código.

Practical guide for tackling software project challenges, focusing on optimization, testing, and best practices in Python development.

Learn Test-Driven Development fundamentals, including unit testing, mocking, and dependency injection. Gain practical skills to improve code quality and reliability through hands-on examples and best practices.

Hands-on introduction to software testing, covering unit testing, mocking libraries, and integration testing. Practical insights for developers to improve code quality and reliability.

Learn best practices for structuring Python projects, configuring setup.py, and using tools like Git and Versioneer for efficient development and version control.

Insights on testing and TDD from Sardinia Radio Telescope development. Explores functional, integration, and unit tests, best practices, and lessons learned for robust software production.

Explore test-driven development for APIs, focusing on validation, design improvement, and practical implementation in Django. Learn key principles and lessons from real-world projects.