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Introduction
In software testing, various types of test cases are written to ensure an application functions correctly and remains reliable in real-world conditions. Three of the most common types are Positive Test Cases, Negative Test Cases, and Destructive Test Cases. Each type has a unique role, and when used together, they help in building stable, secure, and user-friendly applications. Letβs break them down in simple words with real-world examples.
π Positive Test Cases
Positive Test Cases are written to verify that the software functions as expected when the user performs all actions correctly. These test cases use valid input and follow the proper workflow.
Purpose: To verify that the system operates as intended when provided with correct data.
Focus: Makes sure the software meets the requirements defined by the business or project.
Real-Life Example: Imagine a login page. A positive test case would be entering the correct username and password, and the system should log you in without any issue.
Example (Login Test - Positive Case)
[Test]
public void Login_WithValidCredentials_ShouldLoginSuccessfully()
{
var result = AuthService.Login("[email protected]", "Password123");
Assert.IsTrue(result.IsSuccess);
}
This test confirms that the login works fine when valid details are entered.
π Negative Test Cases
Negative Test Cases are designed to see how the application reacts when a user provides incorrect or invalid inputs. Instead of making the system work, the goal is to see if it can handle errors properly.
Purpose: To ensure the system does not crash or behave in an unexpected way when wrong inputs are entered.
Focus: Helps in preventing errors, improving security, and giving a better user experience.
Real-Life Example: On the login page, a negative test case would include entering the wrong password, leaving the username blank, or typing an email without the β@β symbol. The system should show a clear error message instead of crashing.
Example (Login Test - Negative Case)
[Test]
public void Login_WithInvalidPassword_ShouldFail()
{
var result = AuthService.Login("[email protected]", "WrongPass");
Assert.IsFalse(result.IsSuccess);
Assert.AreEqual("Invalid credentials", result.ErrorMessage);
}
This test ensures that wrong inputs are rejected and a proper error message is displayed.
π₯ Destructive Test Cases
Destructive Test Cases are used to test how strong and stable the application is by intentionally trying to break it. These test cases use extreme or unusual inputs to check the limits of the system.
Purpose: To find the breaking points of the application and fix vulnerabilities before real users or hackers find them.
Focus: Ensures the system does not crash or lose data when exposed to heavy, unusual, or malicious inputs.
Real-Life Example: On a login page, a destructive test case might involve typing a password with 10,000 characters or pasting malicious code into the input box. The system should not crash or behave unpredictably.
Example (Login Test - Destructive Case)
[Test]
public void Login_WithVeryLongInput_ShouldNotCrash()
{
string longInput = new string('a', 10000);
var result = AuthService.Login(longInput, longInput);
Assert.IsFalse(result.IsSuccess);
Assert.AreNotEqual("Application crashed", result.ErrorMessage);
}
This test checks that even extreme input does not cause the system to fail.
π Comparison Table
Type of Test Case | Purpose | Example | Focus |
---|
Positive | To confirm correct behavior with valid inputs | Correct username & password | Meets business requirements |
Negative | To verify error handling with invalid inputs | Wrong password, blank fields, invalid email | Prevents errors & improves user experience |
Destructive | To push the system to its limits with extreme inputs | 10,000 character password, corrupted files | Ensures robustness, stability, and security |
π Summary
Positive Test Cases make sure the software works when users do the right thing, Negative Test Cases check that the software handles mistakes properly, and Destructive Test Cases test how the system behaves under extreme or unusual conditions. When used together, they form a complete testing strategy that ensures applications are functional, secure, and stable in both normal and unexpected real-world situations.