Quality & Validation Methodology
Every pattern in RegexLibrary undergoes rigorous automated testing across multiple programming languages to ensure reliability and accuracy in production environments.
Our Validation Process
Multi-Language Testing
Every pattern is automatically tested across five major programming languages: JavaScript, Python, PHP, Java, and C#. This ensures cross-platform compatibility and identifies language-specific edge cases.
✓ JavaScript (Node.js RegExp)
✓ Python (re module)
✓ PHP (PCRE)
✓ Java (java.util.regex)
✓ C# (System.Text.RegularExpressions)Comprehensive Test Cases
Each pattern includes both passing cases (strings that should match) and failing cases (strings that should not match). Patterns must achieve 100% accuracy on all test cases to receive verification.
user@example.cominvalid@Automated Accuracy Scoring
Accuracy is calculated as (passed_tests / total_tests) × 100. Only patterns with ≥90% accuracy are included in our public index. Perfect patterns (100% accuracy) receive priority placement and enhanced visibility.
Quality Standards
Verification Requirements
- Valid regex syntax in target language
- Complete test case coverage
- 100% test case accuracy
- Cross-language compatibility
- Performance classification
Accuracy Distribution
Why Validation Matters
Regex patterns are critical infrastructure for modern applications. A single incorrect pattern can lead to security vulnerabilities, data corruption, or system failures. Our validation process ensures that every pattern you use has been thoroughly tested and verified.
By maintaining strict quality standards, RegexLibrary provides developers with production-ready patterns that can be trusted in critical systems, from user input validation to security filtering and data processing.