More Related Content
Similar to Integration Testing Checklist PDF: A Step-by-Step Guide for QA Teams (20)
![From Curiosity to ROI — Cost-Benefit Analysis of Agentic Automation [3/6]](https://cdn.slidesharecdn.com/ss_thumbnails/session-3-250903141006-a3917e1a-thumbnail.jpg?width=560&fit=bounds)
![Strategic Picks — Prioritising the Right Agentic Use Cases [2/6]](https://cdn.slidesharecdn.com/ss_thumbnails/session-2-250902135931-4c97717a-thumbnail.jpg?width=560&fit=bounds)
Integration Testing Checklist PDF: A Step-by-Step Guide for QA Teams
- 2. Table of Contents 1. Introduction 2. What is Integration Testing? 3. Why is Integration Testing Important? 4. When is Integration Testing Performed? 5. 1. Pre-Integration Checklist 6. 2. Integration Test Planning Checklist 7. 3. Test Execution & Monitoring Checklist 8. Common Pitfalls to Avoid 9. Bonus Section (Optional) 10.Final Notes
- 3. Introduction If you're about to begin integration testing, this checklist will guide you step by step — from setting up your environment to validating module interactions — so you can catch issues early and ensure smooth system behavior. What is Integration Testing? Integration Testing is a fundamental software testing technique where individual software modules—already tested in isolation through unit testing—are combined and tested as a group. The goal is to verify that these integrated components work together correctly and communicate as expected. Instead of focusing on whether each module works on its own, integration testing checks whether they work together to perform complete workflows. In modern applications—especially those built with microservices, APIs, or distributed systems—this phase is critical, as modules often interact across boundaries such as networks or third-party services. Why is Integration Testing Important? Integration testing is vital because most real-world issues in software don’t arise from isolated components failing—they result from the way components interact. While unit tests are great for validating individual pieces of logic, they can’t catch problems like: ● Incorrect data passed between modules ● Misconfigured APIs ● Incompatible data structures ● Timing and synchronization issues in concurrent components ● Exceptions not being handled properly during inter-module calls For example, an API may expect a date in YYYY-MM-DD format, but a frontend module may send it as MM/DD/YYYY. Unit tests would pass on both sides individually, but integration testing would expose the failure when the actual communication happens. Without integration testing, these types of bugs often slip through the cracks and only show up during system testing or even in production—where they're more expensive to fix and more damaging to the user experience.
- 4. When is Integration Testing Performed? Integration testing is conducted after unit testing but before system testing in the typical software testing lifecycle. Once developers have confirmed that individual modules behave correctly in isolation, and those modules are considered stable, integration testing begins. There are a few typical scenarios when integration testing is initiated: 1. After all dependent modules are developed and unit tested This is the classic approach in monolithic systems or tightly coupled architectures. 2. During continuous integration in agile projects Teams often run automated integration tests every time new code is committed, ensuring that modules still work well together with the latest changes. 3. After external interfaces are mocked or available If some services (e.g., payment gateways, third-party APIs) are unavailable, stubs or mocks may be used to begin integration testing earlier. 4. Before full system testing or user acceptance testing (UAT) Catching issues in integration earlier helps avoid costly bug discovery in later stages. In short, integration testing should begin as soon as multiple modules are ready to interact, and it continues progressively as more pieces of the system come together. 1. Pre-Integration Checklist
- 5. This checklist ensures that all foundational components and environments are properly prepared before starting integration testing. Completing these tasks reduces the risk of false failures and environment-related issues during execution. Main Task Subtask Complete d Failed Revie w N/A 1. Verify unit testing readiness All individual modules have passed unit testing ☐ ☐ ☐ ☐ Major unit-level defects are resolved ☐ ☐ ☐ ☐ 2. Identify modules to be integrated List all components/modules for integration ☐ ☐ ☐ ☐ Validate version compatibility of modules ☐ ☐ ☐ ☐ 3. Document interface contracts API contracts and schemas are finalized ☐ ☐ ☐ ☐ Input/output parameters are clearly defined ☐ ☐ ☐ ☐ 4. Choose integration strategy Select approach (Top-Down / Bottom-Up / Big Bang / Hybrid) ☐ ☐ ☐ ☐ Communicate the chosen strategy to all team members ☐ ☐ ☐ ☐
- 6. 5. Confirm third-party dependency availability Ensure APIs, services, or databases are accessible ☐ ☐ ☐ ☐ Mock or stub unavailable services ☐ ☐ ☐ ☐ 6. Prepare integration test data Create valid data reflecting real user scenarios ☐ ☐ ☐ ☐ Include negative, null, and boundary condition data ☐ ☐ ☐ ☐ 7. Set up the integration testing environment Environment mirrors staging/production ☐ ☐ ☐ ☐ Required configurations, databases, and services are in place ☐ ☐ ☐ ☐ 8. Create stubs/drivers if needed Stubs created for missing lower-level modules ☐ ☐ ☐ ☐ Drivers implemented for missing upper-level calls ☐ ☐ ☐ ☐
- 7. 2. Integration Test Planning Checklist In this phase, you’ll define what to test, how to test it, and who’s responsible. A solid test plan will help you catch integration issues early and avoid misalignment between teams. Main Task Subtask Complete d Failed Revie w N/A 1. Define test scope Identify modules, interfaces, and interactions to test ☐ ☐ ☐ ☐ Exclude modules not in scope (e.g., already validated via system tests) ☐ ☐ ☐ ☐ 2. Design integration scenarios Write high-level scenarios for module interactions ☐ ☐ ☐ ☐ Include both direct and indirect data flows ☐ ☐ ☐ ☐ 3. Write integration test cases Convert each scenario into step-by-step test cases ☐ ☐ ☐ ☐ Cover happy paths, edge cases, and failure conditions ☐ ☐ ☐ ☐ 4. Map test cases to requirements Link each test case to a user story or acceptance criterion ☐ ☐ ☐ ☐ Ensure traceability for all critical interfaces ☐ ☐ ☐ ☐ 5. Assign responsibilities Assign who creates, reviews, and executes each test ☐ ☐ ☐ ☐ Ensure QA and Dev both understand their testing ownership ☐ ☐ ☐ ☐ 6. Select tools/frameworks Choose appropriate tools (e.g., Postman, Selenium, JUnit) ☐ ☐ ☐ ☐
- 8. Set up required integrations for automation and reporting ☐ ☐ ☐ ☐ 7. Define entry and exit criteria Specify what needs to be ready before you begin ☐ ☐ ☐ ☐ Define what success looks like for integration testing ☐ ☐ ☐ ☐ 8. Finalize test schedule Align test plan with the sprint/release timeline ☐ ☐ ☐ ☐ Review dates and milestones with stakeholders ☐ ☐ ☐ ☐ 3. Test Execution & Monitoring Checklist Once planning is complete, it’s time to execute your tests and monitor how the modules behave together. You’ll use this checklist to track actual results, monitor failures, and verify data flow. Main Task Subtask Complete d Failed Review 1. Execute test cases Run test cases as per the integration test plan ☐ ☐ ☐ ☐ Validate outputs match expected results ☐ ☐ ☐ ☐ 2. Log results and failures Record test outcomes in test management tool ☐ ☐ ☐ ☐ Report defects with screenshots/logs ☐ ☐ ☐ ☐ 3. Monitor module interactions Review communication between services/modules during test runs ☐ ☐ ☐ ☐ Monitor logs, queues, and system behavior ☐ ☐ ☐ ☐ 4. Track and retest defects Retest failed test cases after bug fixes ☐ ☐ ☐ ☐
- 9. Confirm root cause analysis is completed for critical defects ☐ ☐ ☐ ☐ 5. Maintain traceability Update requirement traceability matrix (RTM) ☐ ☐ ☐ ☐ Ensure test coverage remains aligned with scope ☐ ☐ ☐ ☐ Common Pitfalls to Avoid Even a solid integration test plan can fail if you overlook these key issues. Keep this list in mind as you work through your testing process: ● Missing mocks for unavailable modules If a dependent module or service isn’t ready, make sure you use stubs or mocks to simulate its behavior. Skipping this leads to blocked or incomplete test coverage. ● Testing in an unstable environment Always validate your test environment before execution. Inconsistent configurations or broken services will give you false results and waste debugging time. ● Inadequate test data You need more than just happy path data. Include edge cases, invalid inputs, and empty responses to fully test how integrated modules behave under different conditions. ● Not verifying database interactions Don’t just test the APIs — check that data flows correctly to and from your databases, including rollback behavior and data consistency after failure cases. Bonus Section (Optional) Sample Integration Test Cases If you’re just getting started or need a reference, here are a few examples: ● Verify API A calls Service B with correct payload
- 10. ● Validate response from Service B triggers database write in Table X ● Simulate failure in Service C and verify fallback logic in Module A ● Check whether logging/tracking is updated when a transaction completes Tool Suggestions Use these tools to improve the efficiency and automation of your integration testing: ● TestGrid– for API testing and chaining requests ● JUnit / TestNG – for Java-based service tests ● Pytest – for Python microservice integration ● Selenium / Cypress – for UI to backend integration flows ● Docker / Kubernetes – to spin up controlled environments Integration Testing Best Practices ● Start small: integrate two modules at a time ● Automate your regression integration tests ● Keep test data version-controlled ● Make tests part of your CI pipeline ● Use logging to trace integration flows