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Jason Roberts
When tests fail it can be hard to understand exactly what caused the failures. If test failure messages are ambiguous or not detailed enough you sometimes have to fire up the debugger and run the test in debug mode just to find out what the failure was. In...
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When tests fail it can be hard to understand exactly what caused the failures. If test failure messages are ambiguous or not detailed enough you sometimes have to fire up the debugger and run the test in debug mode just to find out what the failure was. In this course, Improving Unit Tests with Fluent Assertions, you will learn foundational knowledge of Fluent Assertions. First, you will discover how to improve the readability of your test code. Next, you will explore the different ways to assert on different result types such as strings, floating point numbers, collections, and exceptions. Finally, you will gain an understanding of how to improve test failure messages to reduce the need to waste time debugging through failing tests. When you are finished with this course, you will have the skills and knowledge of Fluent Assertions needed to improve readability and test failure messages for automated tests.
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Emphasizes readability and test failure message improvement, which are essential for efficient testing
Utilizes Fluent Assertions, a widely used library for improving test readability
Suitable for learners with basic understanding of unit testing, particularly those seeking to enhance their testing practices
Can be particularly beneficial for developers working with automated tests, where clear failure messages are crucial

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Career center

Learners who complete Improving Unit Tests with Fluent Assertions will develop knowledge and skills that may be useful to these careers:
Test Automation Engineer
This course may be particularly useful for Test Automation Engineers who are responsible for developing and maintaining automated test scripts. Fluent Assertions can help them write more readable and maintainable tests and improve the quality of their test results.
Software Engineer in Test
This course may be particularly useful for Software Engineers in Test who are responsible for writing automated tests. Fluent Assertions can help them write more readable and maintainable tests and improve the quality of their test results.
Software Developer
Software Developers design, develop, and maintain software applications and systems. They work with a variety of programming languages and software tools to build and test software. This course may be useful for Software Developers who want to improve the readability and test failure messages for automated tests.
Quality Assurance Analyst
Quality Assurance Analysts work with software developers and test engineers to ensure the quality of software products. They develop and execute test plans, analyze test results, and report defects. This course may be useful for Quality Assurance Analysts who want to improve the readability and test failure messages for automated tests.
Software Test Engineer
Software Test Engineers design, develop, and maintain testing methods and procedures to ensure the quality of software products. Their job is to test software to identify and report bugs. They often work with software developers and quality assurance analysts to plan and execute testing activities. This course may be useful for Software Test Engineers who want to improve the readability and test failure messages for automated tests.
Test Manager
Test Managers plan, execute, and manage software testing activities. They work with software developers, quality assurance analysts, and other stakeholders to ensure the quality of software products. This course may be useful for Test Managers who want to improve the readability and test failure messages for automated tests.
Product Manager
Product Managers plan, develop, and manage software products. They work with a variety of stakeholders to gather requirements, define product features, and prioritize development efforts. This course may be useful for Product Managers who want to improve the readability of their product requirements documents.
Project Manager
Project Managers plan, execute, and manage software development projects. They work with a variety of stakeholders to define project scope, schedule, and budget. This course may be useful for Project Managers who want to improve the readability of their project plans.
Systems Analyst
Systems Analysts design, develop, and maintain computer systems and applications. They work with users to gather requirements, analyze data, and develop solutions. This course may be useful for Systems Analysts who want to improve the readability of their system design documents.
Technical Writer
Technical Writers create and maintain user documentation for software and other technical products. They work with software developers and subject matter experts to gather information and write documentation that is clear, concise, and accurate. This course may be useful for Technical Writers who want to improve the readability of their documentation.
Data Scientist
Data Scientists collect, analyze, and interpret data to help organizations make informed decisions. They work with a variety of data sources and tools to extract insights and trends. This course may be useful for Data Scientists who want to improve the readability of their data science reports.
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. They work with a variety of data sources and tools to build and train models that can predict outcomes and make decisions. This course may be useful for Machine Learning Engineers who want to improve the readability of their model documentation.
Business Analyst
Business Analysts gather and analyze business requirements to help organizations improve their processes and systems. They work with stakeholders to define business problems, identify solutions, and develop requirements. This course may be useful for Business Analysts who want to improve the readability of their requirements documents.
Statistician
Statisticians collect, analyze, and interpret data to help organizations make informed decisions. They work with a variety of data sources and tools to develop statistical models and provide insights. This course may be useful for Statisticians who want to improve the readability of their statistical reports.
Data Analyst
Data Analysts collect, analyze, and interpret data to help organizations make informed decisions. They work with a variety of data sources and tools to extract insights and trends. This course may be useful for Data Analysts who want to improve the readability of their data analysis reports.

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Improving Unit Tests with Fluent Assertions.
Provides a comprehensive introduction to unit testing and best practices for writing effective test cases. It includes a detailed discussion of the anatomy of unit tests, different testing frameworks, and techniques for writing robust and maintainable unit tests.
Focuses on the practical aspects of test-driven development (TDD) and provides a detailed guide to designing and implementing unit, integration, and acceptance tests. It includes real-world examples and case studies on how to effectively use TDD to build reliable and maintainable software.
Provides a comprehensive introduction to test doubles, which are essential for writing effective unit tests. It includes detailed explanations of different types of test doubles, how to create them, and when to use them.
Provides a collection of test patterns that can be used to refactor test code and make it more maintainable. It includes detailed explanations of each pattern and how to apply it.
Provides a comprehensive introduction to TDD in Python, including detailed guidance on how to write unit, integration, and end-to-end tests. It also includes practical examples and case studies on how to effectively use TDD to build reliable and maintainable Python applications.
Provides a comprehensive introduction to TDD, with a focus on practical implementation. It includes detailed examples and explanations of how to write clear, expressive, and maintainable unit tests.
Provides a comprehensive introduction to unit testing with Python. It includes detailed examples and explanations of how to write clear, expressive, and maintainable unit tests.
Emphasizes the importance of writing clean and maintainable code, which is essential for writing effective unit tests. It provides practical guidelines and best practices for writing code that is easy to read, understand, and debug.
Provides a comprehensive overview of software testing and quality assurance. It includes detailed explanations of different testing techniques and methods. While not specific to unit testing, it good reference for anyone who wants to gain a deeper understanding of software testing.
While this book is not specific to unit testing, it provides a comprehensive overview of software testing practices. It good reference for anyone who wants to gain a deeper understanding of software testing.
While this book is not specific to unit testing, it provides a comprehensive introduction to behavior-driven development (BDD), which popular approach to writing tests. It good read for anyone who wants to gain a deeper understanding of BDD.
While this book is not directly related to unit testing, it provides valuable insights into the importance of software development and testing practices. It good read for anyone involved in software development, including those who write unit tests.

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