Data structures For QA Automation | Arrays in Selenium understanding | PART1 | JS Testing Academy
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Data structures For QA Automation
Data structures For QA Automation | Arrays in Selenium understanding | PART1 | JS Testing Academy
When it comes to QA automation, various data structures can be quite useful depending on the specific tasks you need to perform. Here are some key data structures and how they can be applied in QA automation:
Arrays and Lists:
Use Case: Storing sequences of data such as test cases, input data, or expected results.
Example: An array of test case IDs to iterate through during test execution.
Stacks:
Use Case: Implementing backtracking algorithms or undo mechanisms in test scenarios.
Example: Navigating a web application's history where the "back" operation is frequently tested.
Queues:
Use Case: Managing a sequence of tasks in a first-in-first-out (FIFO) order, like executing a series of test cases or managing asynchronous tasks.
Example: A queue of web requests to be processed in order during a load test.
Linked Lists:
Use Case: Managing dynamic collections of elements where frequent insertions and deletions are needed.
Example: Maintaining a list of test steps where steps can be added or removed during test creation.
Hash Tables (Hash Maps):
Use Case: Fast retrieval of test data, configuration settings, or environment variables.
Example: A hash table to store and quickly access test configuration settings by key.
Trees:
Use Case: Representing hierarchical data, such as the DOM of a web page or nested test suites.
Example: A tree structure to model and traverse a web page's DOM for UI testing.
Graphs:
Use Case: Representing and traversing complex relationships or workflows, such as user navigation paths in an application.
Example: A graph representing all possible user paths through an application for thorough end-to-end testing.
Sets:
Use Case: Managing unique collections of elements and performing set operations like union, intersection, and difference.
Example: A set of unique test environments to ensure no duplicate environments are deployed.
Each of these data structures can be utilized to enhance the efficiency and effectiveness of QA automation. The choice of which to use depends on the specific requirements of the task or problem you are addressing in your automation strategy.
#automationtesting #programming #testngdataprovider #arrays #datastructures
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When it comes to QA automation, various data structures can be quite useful depending on the specific tasks you need to perform. Here are some key data structures and how they can be applied in QA automation:
Arrays and Lists:
Use Case: Storing sequences of data such as test cases, input data, or expected results.
Example: An array of test case IDs to iterate through during test execution.
Stacks:
Use Case: Implementing backtracking algorithms or undo mechanisms in test scenarios.
Example: Navigating a web application's history where the "back" operation is frequently tested.
Queues:
Use Case: Managing a sequence of tasks in a first-in-first-out (FIFO) order, like executing a series of test cases or managing asynchronous tasks.
Example: A queue of web requests to be processed in order during a load test.
Linked Lists:
Use Case: Managing dynamic collections of elements where frequent insertions and deletions are needed.
Example: Maintaining a list of test steps where steps can be added or removed during test creation.
Hash Tables (Hash Maps):
Use Case: Fast retrieval of test data, configuration settings, or environment variables.
Example: A hash table to store and quickly access test configuration settings by key.
Trees:
Use Case: Representing hierarchical data, such as the DOM of a web page or nested test suites.
Example: A tree structure to model and traverse a web page's DOM for UI testing.
Graphs:
Use Case: Representing and traversing complex relationships or workflows, such as user navigation paths in an application.
Example: A graph representing all possible user paths through an application for thorough end-to-end testing.
Sets:
Use Case: Managing unique collections of elements and performing set operations like union, intersection, and difference.
Example: A set of unique test environments to ensure no duplicate environments are deployed.
Each of these data structures can be utilized to enhance the efficiency and effectiveness of QA automation. The choice of which to use depends on the specific requirements of the task or problem you are addressing in your automation strategy.
#automationtesting #programming #testngdataprovider #arrays #datastructures
---------------------------------------------------------------------------------------------------------------------------
Learn Automation Testing with us -https://jstestingacademy.co.in/
CHANNEL: @jstestingacademy
Hit Like, Share and Subscribe for latest Videos.
Our Tutorial Websites:
https://jstestingacademy.co.in/
Contact: 7358036583
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