Test automation might be the missing part in your Agile QA process. Learn how to switch to automated testing from manual with Katalon's step-by-step guide.
Organizations can significantly enhance their QA efficiency and reduce the strain of manual testing by strategically transitioning to automation. Embracing this shift involves a methodical five-step process, ensuring the selection of optimal test cases and tools, followed by diligent development, execution, and continuous monitoring of the automation framework for sustained benefits.
Prioritize Automation for Optimal Test Cases: Focus automation efforts on repetitive, high-risk, and labor-intensive tests, such as regression, acceptance, and API tests, which are prone to human error or impractical for manual execution, to maximize efficiency and reliability.
Select Compatible Tools for Seamless Integration: Carefully evaluate potential automation tools and frameworks based on required features, native integration with pipelines, technical support, script maintainability, and budget, ensuring alignment with specific testing goals and team skillset.
Implement a Continuous Automation Cycle: Establish a robust process for test generation, execution, and reporting, then diligently monitor the automation tool’s effectiveness by tracking metrics such as reduced execution time, maintenance effort, and overall development time for sustained benefits.
Being a manual tester is a mentally-taxing career. It is basically part of the job to be stressed out by the number of tests and stretched thin by tight deadlines. In the middle of this chaos, have you ever wondered ”Shouldn’t this huge amount of tests be automated?”
Here's a guide on how to do that.
Manual testing vs. automation testing
What makes automation testing worthy of a switch?
Here's a brief comparison table of them for you:
Aspects
Manual testing
Automation testing
Definition
Testing software manually by humans without automation tools
Testing software using automation tools or scripts
Human intervention
Requires significant human intervention and manual effort
Requires less human intervention
Speed
Slow
Faster
Reliability
More prone to human error
More reliable as it eliminates human error
Reusability
Test cases cannot be easily reused
Test cases can be easily reused
Cost
Can be expensive due to human resources required
Can be expensive upfront due to automation tools setup
Scope
Limited scope due to time and effort limitations
Wider scope as more tests can be executed in a shorter time
Complexity
Unable to handle complex tests requiring multiple iterations
Able to handle complex tests requiring multiple iterations
Accuracy
Depends on the skills and experience of the tester
More accurate as it eliminates human error and follows rules
Maintenance
Easy to maintain since it does not involve complex scripts
Requires ongoing maintenance and updates to scripts and tools
Skillset
Requires skilled and experienced testers
Requires skilled automation engineers or developers
Manual testers should weigh on the benefits of test automation over manual testing and start the transition now.
Step 1: Find suitable test cases to automate
Test automation exerts its utmost importance in repetitive tests. You can find the list of the most suitable test types to be automated in this table below.
Test automation helps detect bugs earlier by setting off API regression test with every API adjustment.
These types of test cases are ideal for automation testing:
Tests vulnerable to failure from human error
Repetitive and tedious tests
Comprehensive tests using diverse data sets
Tests impractical for manual execution
Labor-intensive tests consuming considerable time
Tests posing significant risk
Tests necessitating execution across various hardware and software platforms
Step 2: Find the compatible tools or frameworks
Open-source frameworks/libraries have decreased sharply in popularity since teams are adopting commercial tools. The tool selection process requires you to be mindful of your resources and testing goals. Use the list of questions below to help you make the decision.
Does it have the required features and support native integration with your pipelines?
Is it adaptable for both manual/automated QAs and Devs?
Will there be technical support and training when needed?
Is it easy to maintain scripts and reuse test assets?
Here's a quick comparison table to help you decide between whether you should go with a tool or a framework:
Aspect
Test automation tool
Test automation framework
Level of Abstraction
Offers higher abstraction, enabling test automation without extensive programming knowledge.
Requires programming expertise and understanding of coding principles.
Learning Curve
Typically has a lower learning curve, accessible to individuals with limited programming skills.
May have a steeper learning curve, requiring deeper automation and programming understanding.
Customization
Provides limited customization options with features provided by the tool. Some tools offer Scripting mode and low-code options for increased flexibility.
Offers extensive customization and flexibility to tailor the framework to project-specific needs.
Ease of Initial Setup
Generally easier to set up with user-friendly interfaces and guided configuration wizards.
May involve complex setup requiring expertise in framework design and structuring.
Resource Efficiency
More resource-efficient, suitable for smaller projects with limited resources.
Can be resource-intensive, demanding time, effort, and expertise.
Maintenance
Easier to maintain with updates managed by the tool provider.
Requires regular maintenance and updates, managed by the user.
Integration with CI/CD
Often provides built-in integration with CI/CD systems.
Facilitates integration with CI/CD systems, may require additional configuration.
Community Support
Supportive community depending on tool popularity, offering resources and assistance.
Typically has a robust community with forums and support for users.
In summary:
To best utilize a framework, extensive coding knowledge is necessary, with significant effort required for maintaining test scripts. However, it allows for extensive customization to meet specific testing needs.
A testing tool, on the other hand, does not require coding skills initially, enabling quicker test creation. Maintenance is typically managed by the tool provider, reducing workload. However, customization is limited to the tool's features, so selecting one that aligns with specific requirements is crucial.
Step 3: Manage the tool development process
This step is critical for those who develop their testing tool from an open-source framework/library. A test automation development strategy should include:
A vision that keeps you committed to the tool objectives
The business values of your automation tool
The design, features, and list of automation items of the framework/tool
The timeline and process of test scripting and execution
Step 4: generate-execute-report-maintain
Test types
Open-source frameworks/libraries
Commercial tools
Test generation
Flexible in programming languages
Requires a dedicated development team
Dual-editor interface (low/full-code)
Suitable for manual testers
Test execution
Cross-browser/device/platform testing support is a must-have
Required a minimum number of tools involved to limit maintenance effort
Test reporting
Requires third-party software
Built-in report generator, intelligent analytics
Test maintenance
Needs significant effort
Page Object Model design allows object storage in one repository so that update can happen simultaneously.
For example, let's automate a simple test where we navigate to a website, search for a specific term, and verify that the results page contains the search term. If you are doing manual testing, you'll perform the following test steps:
Initialize WebDriver: Set up the WebDriver to control the browser (Chrome in this example).
Navigate to website: Open the target website (ebay.com).
Perform search: Find the search bar, enter the search term, and submit the search form.
Verify results: Wait for the results page to load and check if the search term appears in the page source.
Close browser: Close the browser after the test is complete.
Let's transform it into automation testing with Selenium, a popular open-source framework for automating web browsers. We'll write this test using Python. To set up Selenium, first install it with the following command:
pip install selenium
After that, it's time to code:
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
import time
# Set up the WebDriver (Chrome in this example)
driver = webdriver.Chrome(executable_path='path/to/chromedriver')
try:
# Navigate to the website
driver.get("https://ebay.com")
# Find the search input element by its name attribute
search_box = driver.find_element(By.NAME, "q")
# Enter the search term and submit
search_term = "test automation"
search_box.send_keys(search_term + Keys.RETURN)
# Wait for the results page to load
time.sleep(3)
# Verify that the results page contains the search term
assert search_term in driver.page_source
print("Test passed: Search term found in results page")
except AssertionError:
print("Test failed: Search term not found in results page")
finally:
# Close the browser
driver.quit()
You can also go with an automation testing tool to do just that. Let's see how that's done in Katalon, a widely-used automation testing platform that supports testing for web, mobile, API, and desktop applications.
Katalon offers 3 modes of test creation for the highest level of flexibility:
No-code: With the Record-and-Playback feature, testers can capture their manual on-screen actions and convert them into automated test scripts that can be re-executed as many times as needed.
Low-code: Katalon offers a library of Built-in Keywords, which are pre-written code snippets with customizable parameters for specific actions. For example, a keyword like “Click” manages the internal logic to locate an element (e.g., a button) and perform the click action. Testers simply specify the element without needing to handle the underlying code.
Full-code: Testers can switch to Scripting mode to write test scripts manually. They can also toggle between no-code and low-code modes at any time. This combination offers the convenience of creating tests with point-and-click mechanisms and the flexibility of full scripting, allowing testers to focus on what to test rather than how to write tests, thereby improving productivity.
Step 5: Monitor the automation tool's effectiveness
To ensure that your tool is beneficial and capable of fulfilling your testing goals, you need some metrics to help you evaluate. See our suggestions below:
Has execution time been reduced?
How much time did you spend updating/rewriting tests when changes occurred?
Has execution time for a specific test lengthened over time?
Have you been able to cut down the development time for the testing tools? (for self-built tool only)
Conclusion
With test automation, testers have more time for edge cases, product managers have their deadlines met, and clients have their shiny final product. For manual-going-automation testers, the benefits of test automation are even greater with a suitable tool. Katalon Studio is a low-code, free and scalable automation solution for manual QAs to kick-start the first automation project immediately.
The Katalon Team is composed of a diverse group of dedicated professionals, including subject matter experts with deep domain knowledge, experienced technical writers skilled, and QA specialists who bring a practical, real-world perspective. Together, they contribute to the Katalon Blog, delivering high-quality, insightful articles that empower users to make the most of Katalon’s tools and stay updated on the latest trends in test automation and software quality.
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