Learn how to write effective test cases for automation testing with this step-by-step guide. Understand the key components of a well-written test case.
Building robust automation test cases is essential for achieving rapid, scalable, and precise software validation. They significantly accelerate testing cycles and reduce release times by ensuring consistent, repeatable results across various environments. Focusing on high-impact, stable flows maximizes their value and delivers fast, reliable feedback to development teams.
Prioritize Automation Scope: Strategically select test scenarios for automation that are stable, high-impact, and repeatable, such as login flows, form validations, backend checks, and regression tests. Avoid automating rapidly changing UIs, highly visual features, or exploratory scenarios to maximize return on investment and maintain test stability.
Define Comprehensive Test Case Elements: Structure automation test cases with essential components including a unique ID, clear description, precise preconditions, detailed step-by-step actions, specific test data, expected results, actual results, and defined pass/fail criteria. This clarity ensures repeatability and accurate validation.
Implement Test Cases Effectively: Translate well-defined test cases into executable scripts using appropriate tools and frameworks. This can involve writing full-code scripts with frameworks like Selenium or utilizing test automation platforms offering no-code, low-code, and full-code modes for efficient test creation and execution across diverse environments.
Test automation is about speed, scale, and precision. As software teams ship faster, the pressure on QA increases, but manual testing can’t keep up with that speed. You need a way to validate key workflows without slowing things down.
That’s where automation testing come in to save the day. With some good automation test cases, you are going to significantly speed up your testing and reduce release time.
In this guide, I am going to show you how to write test cases for automation testing, and the best practices for it.
Let's dive right in!
What are automation test cases?
At their core, automation test cases are scripted instructions that simulate user behavior and validate the outcome. They define four things:
Preconditions: What must be true before the test runs (e.g. user logged in, database seeded)
Test Steps: The sequence of interactions to simulate (e.g. fill form, click submit)
Expected Results: What the system should do (e.g. show success message, redirect to dashboard)
Actual Results: What actually happened when the script ran
But here’s the nuance: you can’t just copy-paste your manual test cases into a script. Automation has different constraints. It needs to be stable, repeatable, and code-aware.
Manual testers rely on intuition. Automation relies on clarity. So test cases must be purpose-built with automation in mind, i.e. minimal UI dependency, clear assertions, isolated flows.
Good automation test cases pay off in every sprint. Here’s why:
Faster regression cycles: What used to take days now runs in hours, or even less.
Consistent results: No more human error. The same steps, the same checks, every time.
Scalability: Run the same test across browsers, devices, and environments.
Team velocity: QA shifts from bottleneck to accelerator. Developers get feedback faster, and bugs are caught earlier.
But automation should not be seen as a silver bullet. The value comes from choosing the right things to automate, not trying to automate everything.
💡 Pro tip: Focus on flows that are stable, high-impact, and repeatable. Skip anything that’s volatile or hard to assert.
How to decide what to automate?
Test automation should start where it makes the most impact.
Best test scenarios for automation
Login and registration flows: Critical paths users hit daily. Simple but important.
Form validations: Check both success (valid inputs) and failure (invalid inputs).
Backend verifications: Confirm database updates or API responses — ideally through integration tests, not the UI.
Smoke and regression tests: Repetitive and essential. Perfect for automation.
Cross-browser and platform tests: Ensure consistency across environments.
These are high-leverage tests: small effort, big payoff.
What NOT to automate
Rapidly changing UIs: Automation breaks easily when the UI keeps shifting.
Highly visual features: Layout bugs, image alignment are best left to human eyes.
Exploratory scenarios: The whole point is flexibility. Don’t script curiosity.
💡 Pro tip: End-to-end UI tests are expensive to build and maintain. Use them sparingly: only for business-critical flows. For everything else, lean on unit and integration tests.
Key elements of an automation test case
Automation thrives on clarity. Every test case should include the following:
Test Case ID: A unique identifier used to track and reference the test case.
Description: A short, specific, action-oriented statement that clearly summarizes what is being tested.
Preconditions: Conditions or system state that must be met before the test can be executed.
Test Steps: A step-by-step list of actions to perform during the test.
Test Data: Specific input values required for executing the test case.
Expected Result: The system’s expected behavior or output based on the test steps.
Actual Result: The actual behavior or output observed during test execution.
Postconditions: The system state after the test completes (optional but helpful for chaining tests).
Pass/Fail Criteria: The specific conditions that determine whether the test has passed or failed.
How to create an automation test case
Let's create a test case for the Etsy login popup:
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.chrome.options import Options
from webdriver_manager.chrome import ChromeDriverManager
# Set up Chrome options
chrome_options = Options()
chrome_options.add_argument("--headless") # Run in headless mode if you don’t need a UI
# Initialize the WebDriver
driver = webdriver.Chrome(service=Service(ChromeDriverManager().install()), options=chrome_options)
try:
# Navigate to Etsy login page
driver.get("https://www.etsy.com/signin")
# Find the email and password fields and the login button
email_field = driver.find_element(By.ID, "join_neu_email_field")
password_field = driver.find_element(By.ID, "join_neu_password_field")
login_button = driver.find_element(By.XPATH, "//button[@type='submit']")
# Enter credentials (Replace with valid credentials)
email_field.send_keys("your-email@example.com")
password_field.send_keys("your-password")
# Click the login button
login_button.click()
# Add assertions or further actions as needed
# For example, check if login was successful
# account_menu = driver.find_element(By.ID, "account-menu-id")
# assert account_menu.is_displayed(), "Login failed"
finally:
# Close the browser
driver.quit()
2. Write a test case with Katalon
Let’s see how you can do the same thing with Katalon, minus the coding part.
Next, launch it, and go to File > New > Project to create your first test project.
Now create your first test case. Let’s call it a “Web Test Case”.
You now have a productive IDE to write automated test cases. You have 3 modes to choose from
No-code: Using the Record-and-Playback feature, testers can capture their manual actions on-screen and convert them into automated test scripts that can be re-run 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 instance, a "Click" keyword handles the internal logic to find and click an element (like a button). Testers only need to specify the element, without dealing with the underlying code.
Full-code: Testers can switch to Scripting mode to write their own test scripts from scratch. They can also toggle between no-code and low-code modes as needed. This approach combines the ease of point-and-click testing with the flexibility of full scripting, allowing testers to focus on what to test rather than how to write the tests, thus boosting productivity.
Here's how it works:
You have a lot of environments to choose from. The cool thing is that you can execute any types of test cases across browsers and OS, and even reuse test artifacts across AUTs. This saves so much time and effort in test creation, allowing you to focus on high value strategic tasks.
The bottom line
Test automation is about building trust in your product at scale. A good automation test case is clear, reliable, and purpose-built. It validates what matters, runs consistently, and delivers fast feedback to your team. But it only works if you automate the right things: stable flows, repeatable tasks, and system-critical behaviors.
Manual testing catches edge cases. Automation holds the line.
With the right framework, the right test cases, and the right balance, you don’t have to choose between speed and quality. You can deliver both, confidently, at every release.
Vincent Nguyen is a QA consultant with in-depth domain knowledge in QA, software testing, and DevOps. He has 10+ years of experience in crafting content that resonate with techies at all levels. His interests span from writing, technology, building cool stuff, to music.
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