Are your test cases consistent, clear, and complete? Or are they all over the place like last-minute weekend plans?
If your QA process still involves reinventing the wheel with every new test scenario, it’s time to get serious about Test Case Templates.
In this blog, we’ll break down the real purpose behind using test case templates, why they’re more than just a nice-to-have, and how they can dramatically boost the efficiency, accuracy, and collaboration within your testing team.
Whether you’re onboarding new testers, writing automation scripts, or reviewing regression cycles, test case templates are your QA cheat code to quality, speed, and traceability.
Let’s dive into why every mature QA team swears by them—and why you should too
What is the main purpose of Test Case Templates?
The primary purpose of Test Case Templates is to provide a Structured and Standardized format for creating test cases.
Moreover, the standard way of writing test cases ensures consistency across the team and the organization. Additionally, this makes it easier for all members to create, execute, and review test cases.
As a result. A clear structure is provided, ensuring that each test case is easy to write, understand, and execute. Therefore, this reduces ambiguity and improves communication among team members.
It is a time-efficient method. Therefore, templates serve as a ready-to-use framework for creating test cases quickly and efficiently.
Why use Test Case Templates?
1. Standardization
Why: Test case templates create a standard format for writing and managing test cases. Therefore, this ensures all test cases follow a common structure, making them easy to understand and review.
Benefit: Consistency across projects and, more importantly, team members.
Example: Additionally, each test case includes fields like Test Case ID, Steps, Expected Results, and Status, ensuring no information is missed.
2. Improves Test Quality
Why: Moreover, a structured template ensures that all necessary details are documented, leading to comprehensive and high-quality test cases.
Benefit: Helps identify more defects and consequently ensures thorough testing.
Example: Including fields like Preconditions and Expected Results helps testers identify bugs efficiently.
3. Saves Time and Effort
Why: As a result, templates provide a ready-to-use format, saving time spent on creating test cases.
Benefit: Increases productivity and speeds up the testing process.
Example: A reusable template for login functionality, for instance, can be adapted for multiple projects with minimal edits.
4. Ensures Comprehensive Test Coverage
Why: Moreover, templates guide testers to include all relevant information, ensuring no test scenario or functionality is missed.
Benefit: Reduces the risk of incomplete or insufficient testing.
Example: Fields like Test Steps, Test Data ensure all test scenarios are covered.
5. Facilitates Communication and Collaboration
Why: Test case templates, in particular, make it easy for testers, developers, and stakeholders to understand and discuss test cases.
Benefit: Improves collaboration and, as a result, clarity across teams.
Example: Developers can refer to the test steps and, in turn, expected results to replicate issues quickly.
6. Supports Reusability
Why: Templates can be reused for similar functionalities, test types, or projects.
Benefit: Saves effort and ensures consistency across projects.
Example: A functional test case template for e-commerce checkout flow can be reused in multiple releases.
7. Ease of Tracking and Reporting
Why: Templates include fields like Test Case ID, Status (Pass/Fail), and Actual Results, which make it easier to track test execution progress and outcomes.
Benefit: Helps monitor testing performance and identify areas needing attention.
Example: Test managers can quickly identify failed tests and prioritize fixes.
8. Simplifies the Onboarding of New Team Members
Why: A predefined template helps new testers understand the structure and process of writing test cases.
Benefit: Faster onboarding and reduced training time.
Example: A junior tester can start creating test cases by following a structured template without prior experience.
9. Improves Traceability
Why: Templates often include fields to link test cases with requirements or user stories.
Benefit: Helps ensure all requirements are tested and validated.
Example: Using the Requirement ID in the template helps track whether all requirements are covered by test cases.
10. Enhances Audit and Compliance
Why: Test case templates provide detailed documentation of testing activities, which is critical for industries that require compliance (e.g., healthcare, finance).
Benefit: Provides an audit trail and demonstrates due diligence.
Example: Regulatory bodies can review test cases to, in effect, confirm software compliance with standards.
11. Basis for Automation Testing
Why: Consequently, Manual test case templates act as a foundation for automation scripts. Therefore, well-structured test steps can easily be translated into automated tests.
Benefit: Simplifies the transition from manual to automated testing.
Example: Additionally, test steps from a template can be converted into Selenium or JUnit scripts.
12. Reduces Ambiguity and Errors
Why: Templates provide clarity and detail for each test case; therefore, reducing the chance of misunderstandings or mistakes.
Benefit: Ensures accuracy in testing.
Example: Documenting Expected Results ensures testers can identify whether the test passes or fails.
How to use Test Case Templates?
Step 1: Select or Create the Test Case Templates
Choose a suitable test case template based on the project requirements (e.g., functional testing, regression testing, or UI testing).
Templates may come in formats like Excel, Word, or as part of test management tools (e.g., TestRail, Jira, or Katalon).
A standard test case template typically includes:
Test Case ID
Title
Description
Preconditions
Test Steps
Test Data
Expected Results
Actual Results
Status (Pass/Fail)
Comments/Notes
Priotity
Step 2: Identify and Understand Requirements
Gather and analyze the requirements or user stories, to begin with, for the application under test.
Map each requirement to specific test cases to, in turn, ensure complete coverage.
Example:
Requirement: The user should be able to log in with valid credentials.
Mapped Test Cases:
Positive case: Valid username and password.
Negative case: Invalid credentials.
Step 3: Fill Out the Test Case Templates
Populate the test case template with all the necessary details for each scenario:
Test Case ID: Assign a unique identifier (e.g., TC_001, TC_Login_01).
Test Case Title/Name: Provide a concise name (e.g., Verify Login with Valid Credentials).
Description: Briefly describe the purpose of the test.
Example: Validate that a user can log in with correct credentials.
Preconditions: List any setup conditions or prerequisites before testing.
Example: The user account must exist. The browser must be open.
Test Steps: Document the step-by-step actions to execute the test.
Example:
Open the login page.
Enter a valid username.
Enter a valid password.
Click on the “Login” button.
Test Data: Include any required input data for the test (e.g., username/password).
Example:
Username: test_user
Password: 123
Expected Result: State the expected outcome after executing the steps.
Example: The user should be redirected to the homepage.
Actual Result: Leave this blank initially and fill it in during execution.
Status: Mark as Pass or Fail based on comparison of expected and actual results.
Comments/Notes: Add any observations, issues, or screenshots (if applicable).
Priority: High/Medium/Low based on impact.
Step 4: Review and Validate the Test Cases
Before execution, review the test cases to ensure:
They align with the requirements.
They are clear, unambiguous, and detailed.
They cover positive, negative, and edge cases.
Share the test cases with team members, namely, developers, testers, and stakeholders, for feedback.
Step 5: Execute the Test Cases
Use the test case template during test execution: Follow the Test Steps precisely.
Enter the Actual Result observed during execution.
Mark the test case as Pass or Fail in the Status column.
Document additional notes, such as issues or screenshots for failed tests.
Step 6: Report Test Results
As a result, after execution, summarize the test results:
Total test cases executed.
The number of Passed, Failed, or Blocked test cases, for instance, helps assess overall test coverage and quality.
Key defects or issues identified.
Moreover, use the data to create test summary reports for stakeholders.
Step 7: Update and Maintain Test Cases
Update test cases as the application evolves (e.g., new features, changes in functionality).
Therefore, maintain reusable templates for future projects to save time and ensure consistency.
Example of a Filled Test Case Template
Field
Details
Test Case ID
TC_Login_001
Title
Verify Login with Valid Credentials
Description
1. Enter the username test user 2. Enter password 1234 3. Click “Login”.
Preconditions
Open a browser, go to the login page
Test Steps
Users are redirected to the homepage
Test Data
Username: test user, Password: 1234
Expected Result
User redirected to homepage successfully
Actual Result
User redirected yo homepage successfully
Status
Pass
Comments
Test executed successfully
Benefits of Using Test Case Templates
Efficiency: Saves time by providing a ready structure.
Consistency: Ensures uniform formatting for all test cases.
Reusability: Easily adapt templates for future projects.
Clarity: Provides clear test steps for execution.
Coverage: Ensures complete coverage of test scenarios.
For Manual:
Conclusion
Therefore, a well-structured test case template is essential for maintaining quality, consistency, and efficiency in software testing. By standardizing test documentation and execution, templates notonly enhance clarity but also improve collaboration and ensure complete coverage. Moreover, they simplify defect detection, support regression testing, and ultimately enhance the overall reliability of the software. Consequently, the use of test case templates is a key driver of a successful and streamlined testing lifecycle.
Jr. SDET proficient in Manual, Automation, and API. Proficient in test case design, UI testing, and knowledge of SQL and APIs. My expertise extends to technologies such as Selenium,Behave,Postman,SQL,GitHub,Python, Java. I am keen to learn new technologies and tools for test automation
In the fast-paced world of software development, delivering a reliable product is crucial. Testing plays a pivotal role in ensuring quality, with alpha and beta testing serving as two critical phases before a product’s release. While both share the common goal of improving software, their processes, environments, and objectives differ significantly.
What is Alpha Testing?
Alpha testing is an internal testing phase conducted by the development and quality assurance teams. This phase simulates real-world usage to identify bugs and verify functionality.
Key Features of Alpha Testing:
Goal: The primary goal of alpha testing is to catch critical bugs, crashes, and functional issues early in the development cycle. This helps the internal team address major technical concerns before the product reaches real users. It also validates whether the core functionalities behave as expected.
Environment: Conducted in a controlled setting (often a lab-like or staging environment), alpha testing uses in-house infrastructure that closely replicates the production environment. This allows teams to simulate various conditions while having full control over the test environment.
Participants: Alpha testing is executed by internal stakeholders such as developers, testers (QA team), product managers, and sometimes even business analysts. Since they are already familiar with the product, they can dig deeper into technical aspects and provide early feedback on performance bottlenecks, logic flaws, and incomplete features.
Outcome: A more stable, internally approved build that is ready for wider exposure in beta testing. It serves as a checkpoint where most major bugs are resolved, and only real-world usability validation is pending.
What is Beta Testing?
Beta testing involves real users in a live environment, providing feedback based on their experience. This phase validates the product’s performance, usability, and reliability under real-world conditions.
Key Features of Beta Testing:
Goal: The main objective is to assess the product’s real-world performance, compatibility, and user satisfaction. It uncovers issues like unclear workflows, UI/UX concerns, device/browser compatibility, and other factors that may not be evident in a lab setting.
Environment: Performed in a live, real-world environment—users test the product on their personal devices under various network, system, and environmental conditions. This introduces variability and uncovers hidden issues that are often missed during alpha testing.
Participants: Beta testing is carried out by real users outside the organization (such as early adopters, loyal customers, or beta program volunteers). Their fresh perspective helps identify usability concerns, confusing steps, or missing features that developers may overlook.
Outcome: Valuable feedback from actual users that helps finalize the product. It provides insights into user satisfaction, intuitiveness, and potential enhancements, allowing the product team to make final tweaks before full release.
Key Differences Between Alpha and Beta Testing
Aspect
Alpha Testing
Beta Testing
Purpose
Identify major bugs and issues early
Evaluate real-world user experience
Environment
Controlled (lab-like)
Real-world
Participants
Internal teams
External users
Duration
Shorter
Longer, depends on user engagement
Feedback
Technical insights from QA teams
Usability feedback from real users
Why Both Testing Phases Matter
Skipping either phase can lead to subpar user experiences or costly post-release fixes. Each phase plays a distinct role:
Alpha testing ensures the product is technically stable and free from major bugs before it reaches users.
Beta testing validates how the product performs in the hands of real users across different environments.
Together, they form a comprehensive pre-release strategy.
When to Go for Alpha Testing:
Scenario: You’ve just completed the initial development of a new feature in your mobile app (e.g., a new payment gateway).
Why Alpha: Before exposing it to real users, the internal QA team needs to check if the payment flow works properly, verify security logic, and catch functional bugs in a controlled environment.
When to Go for Beta Testing:
Scenario: The app is mostly bug-free, and you’re preparing for public launch.
Why Beta: You release the app to a group of external users to see how they interact with the payment feature on various devices and networks. They may report issues like slow response time on older devices or confusing UI in certain steps—things you wouldn’t catch internally.
By applying both phases, you ensure:
Technical readiness (Alpha) and
Real-world usability (Beta)
—leading to a well-rounded, user-approved product at launch.
Best Practices for Effective Testing
1. Clear Objectives Define specific, measurable goals for both alpha and beta testing. For example, during alpha testing, focus on identifying major bugs and verifying core functionality. In beta testing, we aim to gather user feedback on usability, performance, and compatibility across different devices or platforms.
2. Communication Provide clear instructions, expectations, and timelines to all participants. Ensure internal teams know what areas to test during alpha and equip beta testers with guidance on how to report issues effectively. A good onboarding email or quickstart guide can greatly improve the quality of feedback.
3. Tools & Resources Use the right set of tools to streamline test execution and feedback collection. This could include bug tracking systems (like Jira), screen recording tools, in-app feedback forms, or user analytics platforms to monitor real-time usage behavior.
4. Iterative Improvements Treat feedback from both alpha and beta phases as opportunities to refine the product. Prioritize fixes based on impact and frequency and consider running multiple test cycles if needed to ensure all critical issues are addressed before launch.
Conclusion
Alpha and beta testing are indispensable for successful product launches. By leveraging the strengths of each phase, organizations can deliver high-quality software that meets user expectations and performs seamlessly.
Whether you’re a developer, tester, or project manager, understanding these differences empowers you to optimize your testing strategy effectively.
Quality-focused tester with 2–3 years of experience in ETL, manual testing, and basic automation. Proficient in identifying bugs, designing and executing functional, regression, and UI tests, and reporting issues using tools like JIRA and managing documentation through platforms like SharePoint. Familiar with basic API testing using Postman and skilled in SQL. Experienced in working across financial and life sciences domains. Known for clear documentation, collaborative team efforts, and a strong focus on delivering high-quality software.
UI Automation Tips for Software Testing: UI automation is a very essential part of delivering high-quality applications at speed. But if the approach is not right, automated tests can become unreliable and difficult to maintain. In this blog, we’ll explore the top five UI automation tips for software testing. Additionally, we’ll include practical examples and real-life scenarios to provide a better understanding and help you build a stable and scalable testing framework.
1. Keep Your Tests Independent
Interdependent tests are risky—they often lead to cascading failures that mask the true cause of issues. If one test fails, it shouldn’t bring down others. Independent tests provide clarity in results, ease of debugging, and improved parallel execution, which increases the speed and reliability of your CI/CD pipelines.
By making your tests independent, you can reduce the risk of false positives and flaky failures. Ensure that each test sets up its own data, and cleans up after execution when needed.
Example 1: When you’re testing a flight booking application. One test verifies user login, and another checks the flight search feature. If the login test fails, your search test fails too—not because the search is broken, but because the user will fail to log in.
Better Approach: Use a pre-authenticated session or API calls, which will help you log in directly on the flight search page. Additionally, this approach will ensure that one failure doesn’t impact others.
2. Use Reliable Locators
As we all know the locators are the backbone of any UI automation framework. If they’re unstable, your tests will be unstable too. Deep XPaths or class names that change frequently, can cause unnecessary failures whenever the UI changes—even if the application is working fine.
Instead, you should collaborate with developers and test-friendly attributes like data-testid or aria-labels should get implemented. These test-friendly attributes make your locators more robust, descriptive, and resilient, which leads to longer-lasting and more stable tests.
Example 1: Avoid XPath selectors like: //div[3]/span[1]
Better Approach: Use stable locators such as: id=’submitButton’ or data-test-id=’loginSubmit
Real-World Scenario: A banking app had dynamically generated class names, causing frequent locator failures. Switching to data-test-id attributes for element identification eliminated flakiness, even as the UI evolved.
3. Manage Test Data Strategically
Test data management is very important and often overlooked, but it directly impacts test reliability and maintenance efforts. Hardcoding test data, such as usernames or IDs, leads to data collisions, inconsistent results, and affect the data security.
A good strategy involves:
Using dummy data when testing specific scenarios
Keeping test data separate from test scripts (in JSON, YAML, CSV, or databases)
Using dynamic data generation when possible
Ensuring data clean up routines are in place to avoid leftover data that could impact other tests
Example 1: Instead of hardcoding data like: username = “JohnDoe”
Better Approach: Maintain test data in external files, such as JSON, YAML, or CSV: { “username”: “JohnDoe”, “password”: “SecurePass123” }
Pro Tip: Use dynamic test data generation or data factories when appropriate to create uniquedatasets on the fly. This prevents collisions and ensures tests are repeatable.
4. Focus on Test Stability
An unstable test suite could be a major productivity killer. Flaky tests result in false negatives, It causes teams to waste time investigating non-issues instead of focusing on real bugs.
proper synchronization is the key to stability. Tests should wait for specific events or conditions, not arbitrary timeouts. Selenium, Cypress, and Playwright are the modern tools provide explicit waits and smart retry mechanisms. Use them to wait for:
Background jobs or loaders to finish
Element visibility
API responses
Animations or transitions to complete
Example: In an inventory management system, tests failed intermittently due to a loading spinner. Instead of using: Thread.sleep(5000)‘
Better Approach: Implement explicit waits that wait until a specific condition is met: WebDriverWait wait = new WebDriverWait(driver, Duration.ofSeconds(10)); wait.until(ExpectedConditions.invisibilityOfElementLocated(By.id(“loadingSpinner”)));
Result: This ensures that your tests proceed only after the UI is ready, thereby improving reliability and performance.
5. Optimize and Maintain Test Suites
As your application evolves, so should your test suite. Without regular maintenance and optimization, your suite becomes slow, and hard to manage. Prioritizing test organization, test tagging, and test prioritization helps to keep the suite efficient and scalable.
Best practices for Maintenance include:
Monitoring test performance and analyzing the flaky test reports
Regularly reviewing and refactoring test cases
Deleting obsolete or redundant tests and test data
Categorizing tests by priority or test type like smoke, regression, and performance
Running critical tests on every pull request and full regression tests on scheduled intervals
Example: In a food delivery app, you should categorize tests by priority.
Critical: Order placement, payment processing
High: Cart updates, menu filtering
Low: Profile updates, UI cosmetic changes
Better Approach:
Run Critical tests in every build pipeline.
Execute High/Low priority tests during scheduled regression runs
Regularly review and refactor outdated tests to keep the suite lean.
Bonus Tip: Clean Up Test Data After Every Execution
If you are leaving test data behind after execution can lead to false positives or negatives, and unreliable results. It’s crucial to clean up the data created or modified during a test to ensure a consistent starting point for future runs.
Example: In an e-commerce app, a test case creates a new user and places an order. If the user and order aren’t deleted after the test, the next run might fail due to duplicate user or incorrect order counts.
Better Approach: You can add extra steps to clear the data or the best way use teardown methods (like @AfterMethod, @AfterTest) to delete or roll back any test data. You can also use.
Conclusion
By following these five UI automation best practices, you’ll build robust, stable, and maintainable test suites that provide real value. Whether you’re testing a banking platform, e-commerce site, or mobile app, these tips will help you navigate the complexities of UI automation and deliver flawless testing outcomes.
Priyanka is an SDET with 2.5+ years of hands-on experience in Manual, Automation, and API testing. The technologies she has worked on include Selenium, Playwright, Cucumber, Appium, Postman, SQL, GitHub, and Java. Also, she is interested in Blog writing and learning new technologies.
In today’s digital-first world, how a customer experiences your website, app, or product can make or break your brand. People expect smooth, fast, and problem-free interactions. Customers can quickly lose interest if an app crashes or a product doesn’t perform as expected. They might even switch to a competitor. That’s why companies must invest in product quality, not just for technical reasons, but also to improve their marketing outcomes and build brand loyalty.
Ensuring product quality means making sure everything works as it should. From small features to large-scale operations, quality assurance checks that the user’s journey is smooth and reliable. When customers see that a brand delivers consistent and high-quality experiences, they are more likely to stay loyal and recommend it to others. So, let’s understand how product quality and brand loyalty go hand-in-hand.
1. Better Product = Better Customer Experience
Let’s start with a simple question: Would you continue using a product that keeps crashing or fails to perform reliably? Most people won’t. Studies show that poor user experience is one of the top reasons people stop using digital products.
A smooth, bug-free app or website—or a well-functioning physical product—shows customers that a brand is professional, reliable, and cares about their experience. And how do brands ensure that? Through rigorous quality checks and validation.
Quality assurance helps identify issues like:
Pages are not loading properly
App buttons not working
Forms not submitting
Payment gateways failing
Features behaving differently on different devices
When these issues are resolved before launch, the user has a positive first impression. A good experience often means the user will come back, make a purchase, and even recommend it to others. That’s brand loyalty in action.
2. Quality Products Protect Brand Reputation
A brand’s image is more than just a logo or advertisement—it’s also how well the product performs. If users associate a brand with unreliable apps, slow websites, or confusing interfaces, the reputation takes a hit.
Example: Sonos App Redesign Backlash (2024) In May 2024, Sonos, a premium audio brand, launched a major update to its mobile app, aiming to enhance performance and customization. However, the redesign was met with widespread criticism due to missing features and numerous bugs. Users reported issues like broken local music library management, missing sleep timers, and unresponsive controls. The backlash was significant, leading to a decline in customer trust and a drop in stock prices. Sonos acknowledged the problems and committed to regular updates to fix the issues.
This incident underscores the critical importance of thorough product testing and quality assurance before releasing updates. A well-validated product not only ensures a smooth user experience but also protects the brand’s reputation and customer loyalty.
3. Great Marketing Campaigns Need Flawless Quality
Marketers spend time and money creating exciting campaigns—ads, social media posts, emails, and offers. But what happens when customers click through, and the landing page doesn’t load? Or does the sign-up form crash?
All that effort is wasted.
This is where product quality and marketing go hand-in-hand. Before launching any campaign, the end-to-end user experience must be validated:
Can the customer access the link?
Does the mobile version work correctly?
Can they complete a transaction?
Does the thank-you message show up?
High product quality ensures the campaign works as planned and gives customers a seamless experience, increasing conversions and trust.
4. Builds Trust Through Consistency
Trust is built when customers consistently receive what they expect. If a brand’s app works great one day and crashes the next, people will feel uncertain about using it again. But if the experience is reliable every time, they’ll feel comfortable sticking around.
Ongoing quality assurance efforts make this possible. Even after launch, brands must validate updates, new features, and changes to ensure nothing breaks. This shows users that the brand:
Cares about their experience
Takes feedback seriously
Works to continuously improve
Over time, this consistent performance builds strong customer loyalty.
5. Improves Retention Rates
Acquiring new customers is more expensive than keeping existing ones. One major reason customers leave is a poor user experience. If they struggle to log in, make a purchase, or navigate a product, they’ll quit—and maybe never return.
With high product quality, retention rates improve. Features work as expected. Apps load quickly. Users can complete tasks without stress. Happy users = returning users.
Ensuring product quality also means catching issues early, saving money and effort in fixing problems later, and preventing customer churn.
6. Encourages Word-of-Mouth & Reviews
Loyal customers are often your best marketers. When they have a great experience with your product, they tell others. They leave positive reviews, share on social media, and recommend your brand.
On the flip side, one bad product experience can lead to:
1-star reviews on app stores
Negative posts on social platforms
Bad word-of-mouth, which can hurt new customer growth
High product quality acts as a shield. It reduces the chances of negative feedback and increases the likelihood of glowing reviews, which is gold for marketing teams.
Conclusion
Product quality is more than a technical concern—it’s a powerful asset for marketing. When quality is prioritized, it leads to:
Fewer issues
Happier users
Positive reviews
Stronger brand image
Higher customer retention
Better ROI on marketing campaigns
In a crowded market where customers have endless choices, the brands that stand out are the ones that consistently deliver quality. And that quality comes from testing, validating, and refining your product before customers see it.
Marketers who work closely with product and quality teams can ensure every campaign, product, and user journey is optimized for success. That’s how brands earn trust, create loyalty, and grow over the long term.
Mansi is a Digital Marketing Executive with a strong interest in content strategy, SEO, and social media marketing. She is passionate about building brand presence through creative and analytical approaches. In her free time, she enjoys learning new digital trends and exploring innovative marketing tools.
Looking to simplify your UI test automation without compromising on speed or reliability?
Welcome to CodeceptJS + Puppeteer — a powerful combination that makes browser automation intuitive, maintainable, and lightning-fast. Whether you’re just stepping into test automation or shifting from clunky Selenium scripts, this CodeceptJS Puppeteer Guide will walk you through the essentials to get started with modern JavaScript-based web UI testing.
Why CodeceptJS + Puppeteer?
Beginner-Friendly: Clean, high-level syntax that’s easy to read—even for non-coders.
Stable Tests: Auto-waiting eliminates the need for flaky manual waits.
Built-in Helpers & Smart Locators: Interact with web elements effortlessly.
CI/CD Friendly: Easily integrates into DevOps pipelines.
Rich Debugging Tools: Screenshots, videos, and console logs at your fingertips.
In this blog, you’ll learn:
How to install and configure CodeceptJS with Puppeteer
Writing your first test using Page Object Model (POM) and Behavior-Driven Development (BDD)
Generating Allure Reports for beautiful test results
Tips to run, debug, and manage tests like a pro
Whether you’re testing login pages or building a complete automation framework, this guide has you covered.
Ready to build your first CodeceptJS-Puppeteer test? Let’s dive in!
1. Initial Setup
Prerequisites
Node.js installed on your system. (Follow below link to Download and Install Node.)
https://nodejs.org/
Basic knowledge of JavaScript.
Installing CodeceptJS Run the following command to install CodeceptJS and its configuration tool: npm install codeceptjs @codeceptjs/configure –save-dev
2. Initialize CodeceptJS
Create a New Project
Initialize a new npm project using following commend:
npm init –y
Install Puppeteer Install Puppeteer as the default helper: npm install codeceptjs puppeteer –save-dev
Setup CodeceptJS Run the following command to set up CodeceptJS: npx codeceptjs init
As shown below, follow the steps as they are; they will help you build the framework. You can choose Puppeteer, Playwright, or WebDriver—whichever you prefer. Here, I have used Puppeteer to create the framework
This will guide you through the setup process, including selecting a test directory and a helper (e.g., Puppeteer).
3. Writing Your First Test
Example Test Case
The following example demonstrates a simple test to search “codeceptjs” on Google:
Dependencies
Ensure the following dependencies are included in your package.json:
A simple test case to perform a Google search is shown below:
Feature('google_search');
Scenario('TC-1 Google Search', ({ I }) => {
I.amOnPage('/');
I.seeElement("//textarea[@name='q']");
I.fillField("//textarea[@name='q']", "codeceptjs");
I.click("btnK");
I.wait(5);
});
4. As we have seen how to create a simple test, we will now explore how to create a test in BDD using the POM approach.
Using Page Object Model (POM) and BDD
CodeceptJS supports BDD through Gherkin syntax and POM for test modularity. If you want to create a feature file configuration, use this command. “npx codeceptjs gherkin:init”
The setup will be created; however, some configurations still need to be modified, as explained below. You can refer to the details provided.
After this, the following changes will be displayed in the CodeceptJS configuration file. Ensure that these changes are also reflected in your configuration file.
A Feature file in BDD is a plain-text file written in Gherkin syntax that describes application behavior through scenarios using Given-When-Then steps. Example: Orange HRM Login Test Feature: Orange HRM
Scenario: Verify user is able to login with valid credentials Given User is on login page When User enters username “Admin” and password “admin123” When User clicks on login button Then User verifies “Dashboard” is displayed on page
Step Definitions
A Step Definitions file in BDD maps Gherkin step definitions to executable code, linking test scenarios to automation logic. Define test steps in step_definitions/steps.js:
const { I } = inject();
const { LoginPage } = require('../Pages/LoginPage');
const login = new LoginPage();
Given('User is on login page', async () => {
await login.homepage();
});
When('User enters username {string} and password {string}', async (username, password) => {
await login.enterUsername(username);
await login.enterPassword(password);
});
When('User clicks on login button', async () => {
await login.clickLoginButton();
});
Then('User verifies {string} is displayed on page', async (text) => {
await login.verifyDashboard(text);
});
Page Object Model
A Page File represents a web page or UI component, encapsulating locators and actions to support maintainable test automation. Create a LoginPage class to encapsulate page interactions:
Run tests and generate reports: npx codeceptjs run npx allure generate –clean npx allure open
6. Running Tests
To execute tests, use the following command: npx codeceptjs run
To log the steps of a feature file on the console, use the command below:
npx codeceptjs run –steps
The — verbose flag provides comprehensive information about the test execution process, including step-by-step execution logs, detailed error information, configuration details, debugging assistance, and more.
npx codeceptjs run –verbose
To target specific tests:
npx codeceptjs run <test_file>
npx codeceptjs run –grep @yourTag
Conclusion:From Clicks to Confidence with CodeceptJS & Puppeteer
In this guide, we walked through the essentials of setting up and using CodeceptJS with Puppeteer—from writing simple tests to building a modular framework using Page Object Model (POM) and Behavior-Driven Development (BDD). We also explored how to integrate Allure Reports for insightful test reporting and saw how to run and debug tests effectively.
By leveraging CodeceptJS’s high-level syntax and Puppeteer’s powerful headless automation capabilities, you can build faster, more reliable, and easier-to-maintain test suites that scale well in modern development workflows.
Whether you’re just starting your test automation journey or refining an existing framework, this stack is a fantastic choice for UI automation in JavaScript—especially when aiming for stability, readability, and speed.
Harish is an SDET with expertise in API, web, and mobile testing. He has worked on multiple Web and mobile automation tools including Cypress with JavaScript, Appium, and Selenium with Python and Java. He is very keen to learn new Technologies and Tools for test automation. His latest stint was in TestProject.io. He loves to read books when he has spare time.
