Use Code: BLACKFRIDAY30Difference Between Hard Assert & Soft Assert in pytest | LambdaTest
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- What Is Cypress?
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- What is pytest?
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- What is JUnit 5?
- What Are Different Selenium Wait Methods?
- How to Apply Timeout to The Class?
- What is Quality-Driven Development (QDD)?
- What are JUnit Annotations?
- Difference Between Hard Assert & Soft Assert in pytest
- What Are Flaky Tests And Where Do They Come From?
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- Difference between JUnit 4 and JUnit 5
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- AI Use Cases in Software Testing
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- Why Async and Await Are Crucial in WebdriverIO Testing
- Promises in JavaScript
- Finding Elements Using WebdriverIO Selectors
- Automating Build and Publish with Jenkins & GitHub
- Understanding Implicit Waits in Selenium
- Understanding Playwright Selectors
- Selenium Vs Cypress Vs Playwright: Key Differences at a Glance
- Setting Up JUnit 4 Dependency
- How to Handle Alerts in Selenium
- How to Minimize Browser Using the Robot Class in Selenium
- How to Test Cookies on a Website?
- Performance Testing: Backend & Frontend Strategies
- Contract Testing: Key Approaches and Best Practices
- Test Execution Reporting: Tools, Trends, and Best Practices
About The Video
Watch the video to understand the difference between hard & soft asserts!
In software testing, hard assert and soft assert manage failed assertions differently:
β’ πππ«π ππ¬π¬ππ«π: Immediately stops the test if an assertion fails. It's used when further test steps depend on the successful assertion.
β’ ππ¨ππ ππ¬π¬ππ«π: Records failures without stopping the test, allowing all checks to run and reporting all failures. Useful when multiple independent checks are needed. This distinction helps testers choose the right assert type based on how critical the test conditions are to subsequent operations.
Video Chapters
00:00 Introduction
00:07 Hard Assert & Soft Assert
02:30 Demo
12:21 Closing
Key Topics Covered
Introduction to Assertions: Brief overview of the importance of assertions in software testing.
Hard Assert vs. Soft Assert: Explanation of hard asserts, which stop the execution of a test upon encountering a failure.
Explanation of soft asserts, which allow the test to continue running despite failures, collecting all errors for reporting at the end of the test.
Usage Scenarios: Detailed discussion on when to use hard assert versus soft assert based on the testing requirements. Hard asserts are used when the outcome of the test depends on the success of the asserted condition, while soft asserts are useful when multiple conditions can fail independently without affecting the continuation of the test.
Demonstration: A live demonstration on implementing soft asserts in a test script, including how to handle multiple assertions within a single test function.
Practical coding examples showing how to replace hard asserts with soft asserts to allow comprehensive failure analysis.
Best Practices and Tips: Tips on optimizing the use of assertions in test scripts to improve the robustness and reliability of automated tests.
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