These layers are known as Testing Levels:
- Unit Testing
- Integration Testing
- System Testing
- Acceptance Testing
1. Unit Testing
Unit testing validates the smallest independent piece of software, typically at the function or method level.
Key characteristics:
- Written and executed by the developer during the build phase
- Targets isolated modules, logic branches, and data correctness
- Prevents defects before modules interact
- Reduces debugging complexity later in the cycle
Example in JavaScript:
function add(a, b) {
return a + b;
}
console.assert(add(2, 3) === 5, "Test Failed: 2 + 3 should equal 5");
Here, we validate pure logic without UI, network, or database dependencies.
Unit tests often run using frameworks like:
- Jest
- Mocha
- Vitest
- GoogleTest (for C++)
- Catch2 (for C++)
2. Integration Testing
Integration testing validates interactions between two or more combined modules. The goal is to detect defects that appear when components exchange data or events.
Properties:
- Treated as a Black-Box test (input → output)
- Executed after combining modules into subsystems
- Typically performed by software or RTOS/embedded engineers
- Focuses on interface contracts, communication, timing, and data format correctness
Example:
If a payment service sends a transaction object:
{ "amount": 100, "currency": "EUR", "method": "iDEAL" }
Integration testing verifies:
- Was it received?
- Was it parsed correctly?
- Did the next module handle it without crashing?
In embedded systems, integration testing may validate:
- UART message format correctness
- SPI timing alignment
- Sensor driver + ADC module interaction
- Task scheduling + queue communication
3. System Testing
System testing validates the entire integrated product as a complete software system. It ensures the final software behaves correctly end-to-end.
Includes:
- Functional testing
- Non-functional testing
- Full workflow validation
Executed on a staging environment identical to production to ensure realistic results.
System testing validates:
- The software is fully operational
- All modules cooperate correctly
- System architecture and requirements were satisfied
Example scenarios:
- Full IoT dashboard loads correctly and controls devices
- Firmware update flow works without corruption
- System handles low memory safely
- Audio/video pipeline maintains sync
4. Acceptance Testing
Acceptance testing is formal validation performed by customers, stakeholders, or product owners.
Timing:
- Done during the maintenance stage of SDLC
- Focuses on business needs, usability, and contractual requirements
Acceptance testing ensures software is:
- Fit for real user usage
- Meeting business goals
- Aligned with user expectations, not just technical correctness
Acceptance testing answers:
- Do users accept the behavior?
- Is the system solving their real problem?
- Does it integrate smoothly into their daily processes?
| Level | Goal | Executed By | Environment |
|---|---|---|---|
| Unit | Validate logic correctness at function/module level | Developer | Local build/test phase |
| Integration | Validate interfaces between combined modules | Engineer / QA | Post-merge environment |
| System | Validate full system compliance (functional + non-functional) | QA / Engineering | Staging (similar to production) |
| Acceptance | Validate business needs and stakeholder satisfaction | Customer / Stakeholders | Production or UAT environment |
Summary
Software testing is not only about finding bugs — it is about validating engineering contracts, architecture behavior, system resilience, and business value delivery.
A strong tester must understand both:
- Expected functionality
- System behavior under real operating conditions
- Architectural reliability guarantees