Non-Functional Requirements: Definition and Examples
performance, security, and usability. They complement functional requirements by defining system constraints and standards rather than specific features.How It Works
Think of building a house: functional requirements are like the rooms you want, such as a kitchen or bedroom. Non-functional requirements are the qualities of the house, like how strong the walls are, how well it insulates heat, or how safe it is from intruders.
In software, non-functional requirements set the rules for the system’s behavior and quality. They ensure the system is fast enough, secure, reliable, and easy to use. These requirements guide design decisions and testing to meet user expectations beyond just features.
Example
This example shows a simple check for a non-functional requirement: ensuring a function runs within a time limit (performance).
import time def process_data(): start = time.time() # Simulate data processing time.sleep(0.5) # 0.5 seconds delay end = time.time() duration = end - start if duration > 1.0: return "Performance requirement not met" return "Performance requirement met" result = process_data() print(result)
When to Use
Non-functional requirements are essential when you want to ensure your system is reliable, secure, and user-friendly. For example, in banking apps, security and availability are critical non-functional requirements. In video streaming services, performance and scalability matter most.
Use them during planning and design to set clear expectations for system quality. They help teams avoid surprises and build systems that meet user needs beyond just functionality.
Key Points
- Non-functional requirements define system qualities like speed, security, and usability.
- They complement functional requirements by focusing on how the system works, not what it does.
- They guide design, development, and testing to meet user expectations.
- Examples include performance, reliability, scalability, and maintainability.