Prevention Techniques
Proactive Argument Validation Strategies
graph TD
A[Prevention Techniques] --> B[Input Validation]
A --> C[Type Safety]
A --> D[Design by Contract]
A --> E[Defensive Programming]
Method Parameter Validation
public class SafeArgumentHandler {
public void processUser(String username, int age) {
// Explicit validation checks
if (username == null || username.trim().isEmpty()) {
throw new IllegalArgumentException("Username cannot be null or empty");
}
if (age < 0 || age > 120) {
throw new IllegalArgumentException("Invalid age range: " + age);
}
// Safe processing logic
}
}
Validation Techniques
Technique |
Description |
Implementation |
Null Checking |
Prevent null input |
Objects.requireNonNull() |
Range Validation |
Ensure values within acceptable range |
Conditional checks |
Type Validation |
Verify correct data types |
instanceof, type casting |
Length Validation |
Check input length constraints |
String/Collection length |
Advanced Prevention Strategies
Java Bean Validation (JSR 380)
public class User {
@NotNull(message = "Username cannot be null")
@Size(min = 3, max = 50, message = "Username must be between 3 and 50 characters")
private String username;
@Min(value = 18, message = "Minimum age is 18")
@Max(value = 120, message = "Maximum age is 120")
private int age;
}
Defensive Programming Patterns
- Use immutable objects
- Implement interface-based design
- Create defensive copies
- Use final keywords strategically
Type-Safe Argument Handling
public class TypeSafeArgumentHandler {
// Generic method with type constraints
public <T extends Comparable<T>> T findMax(T a, T b) {
return (a.compareTo(b) > 0) ? a : b;
}
}
Prevention Best Practices
- Validate inputs at method entry
- Use strong typing
- Implement clear error messages
- Leverage framework validation
- Write comprehensive unit tests
Error Handling Strategies
graph LR
A[Input] --> B{Validation}
B -->|Valid| C[Process]
B -->|Invalid| D[Throw Exception]
D --> E[Log Error]
- Bean Validation API
- Guava Preconditions
- Apache Commons Validator
- Custom validation annotations
LabEx recommends a multi-layered approach to preventing invalid argument errors, focusing on proactive validation and robust design principles.