Cucumber and Gherkin definitions

Cucumber and Gherkin


Cucumber is a widely used open-source testing tool that supports behavior-driven development (BDD) and facilitates collaboration among developers, testers, and non-technical stakeholders. It allows teams to define, automate, and execute test cases in a natural language format, making it more accessible to individuals with varying technical backgrounds. Cucumber helps bridge the gap between business requirements and test automation by using plain text feature files that are written in Gherkin language.


Gherkin is a domain-specific language (DSL) designed to be human-readable and easy to understand. It serves as the language for defining the behavior of software systems in a structured format that Cucumber can interpret and execute. Gherkin is used to write test scenarios, which describe how a software system should behave in different situations. These scenarios are typically stored in feature files with a ".feature" extension.


Gherkin scenarios consist of a few key elements:


1. **Feature:** Describes the overall feature or functionality being tested.


2. **Scenario:** Represents a specific test case or scenario.


3. **Given:** Describes the initial state or setup of the system.


4. **When:** Describes the action or event that triggers the test case.


5. **Then:** Describes the expected outcome or result of the test case.


Here's a simple example of a Gherkin scenario:


...

gherkin

Feature: Login Functionality

  As a registered user

  I want to log in successfully

  So that I can access my account


  Scenario: Valid login credentials

    Given I am on the login page

    When I enter valid username and password

    Then I should be logged in

...

In this example, the Gherkin scenario outlines the steps for testing the login functionality of a software application. Cucumber can read and execute this scenario, mapping each step to corresponding automation code, usually written in a programming language like Java, Ruby, or Python. This allows for automated testing based on natural language descriptions, making it easier for non-technical stakeholders to participate in the testing process.

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