Click on any testing methodology below to learn about it in detail
Unit Testing
Test individual components in isolation
Integration Testing
Test component interactions and interfaces
System Testing
Test complete integrated system
Load Testing
Test system performance under load
Error Testing
Test system resilience and error handling
Test Automation
Automated testing pipeline and CI/CD
🎯 Welcome to Testing Methodologies
Select any testing methodology from the left to start learning!
Each lesson covers the purpose, process, tools, and best practices.
Unit Testing
Unit Testing Flow
🎯 Purpose
Unit testing involves testing individual components or modules of software in isolation to ensure they work correctly. It's the foundation of good testing practices and helps catch bugs early in development.
🔄 Process
The process follows a simple pattern: Input → Function → Output, while monitoring for side effects like I/O operations, file changes, or database interactions.
Write test cases for individual functions/methods
Mock external dependencies
Assert expected outputs for given inputs
Verify no unwanted side effects occur
✨ Benefits
Early bug detection
Easier debugging and maintenance
Documentation of expected behavior
Confidence in code changes
🛠️ Popular Tools
pytest
Mocha
JUnit
NUnit
Integration Testing
Integration Testing Hierarchy
🎯 Purpose
Integration testing focuses on testing the interfaces and interaction between integrated components to detect interface defects.
🔄 Process
Tests how different modules work together when combined. The diagram shows component A integrating with B1 and B2, each having their own sub-components.
Big Bang: Test all components together
Top-down: Test from top-level down
Bottom-up: Test from bottom components up
Sandwich/Hybrid: Combination approach
✨ Key Focus Areas
Data flow between modules
Interface compatibility
API contracts and responses
Database integration
🛠️ Popular Tools
Postman
SoapUI
Selenium
Cucumber
System Testing
System Integration Architecture
🎯 Purpose
System testing evaluates the complete integrated system to verify that it meets specified requirements in a production-like environment.
🔄 Process
Tests the entire system as a black box, with all modules (1-4) working together as shown in the diagram.
Functional testing of complete workflows
Non-functional testing (performance, security)
End-to-end user scenarios
Environment and configuration testing
✨ Types of System Testing
Functional testing
Performance testing
Security testing
Usability testing
Compatibility testing
🛠️ Popular Tools
Selenium
Appium
Robot Framework
Guides
Load Testing
Load Testing Performance Analysis
🎯 Purpose
Load testing determines how a system performs under expected and peak load conditions, measuring response time, throughput, and error rates.
🔄 Process
Multiple users simultaneously access the application while monitoring performance metrics like response time, throughput, and error rates.
Define performance requirements
Create realistic user scenarios
Gradually increase load
Monitor system resources and response times
✨ Types of Load Testing
Load Testing: Normal expected load
Stress Testing: Beyond normal capacity
Spike Testing: Sudden load increases
Volume Testing: Large amounts of data
🛠️ Popular Tools
JMeter
Locust
LoadRunner
Gatling
Error Testing
Error Testing & Chaos Engineering
🎯 Purpose
Error testing (also called fault injection or chaos testing) deliberately introduces failures to test system resilience and error handling capabilities.
🔄 Process
Different types of "assaults" are performed on services to test their resilience:
Latency Assault: Introduce delays in responses
Exception Assault: Force exceptions in code paths
KillApp Assault: Terminate application processes
Memory/CPU exhaustion
✨ Benefits
Improved system reliability
Better error handling
Increased confidence in production
Disaster recovery validation
🛠️ Popular Tools
Gremlin
Chaos Monkey
Litmus
Pumba
Test Automation
CI/CD Automation Pipeline
🎯 Purpose
Test automation creates an automated pipeline that runs tests continuously throughout the development lifecycle, from commit to deployment.