Quality Requirements
To ensure that the PII App meets high standards of performance, functionality, and user satisfaction, the following quality requirements are established
Security
Data Protection: The application must implement robust encryption methods for data at rest and in transit to protect sensitive information.
Authentication and Authorisation: User authentication should be managed using secure methods such as JWT tokens. Role-based access control (RBAC) should be used to ensure that only authorized users can access specific functionalities and data.
Audit Logging: The application must maintain detailed audit logs of all actions performed, especially those related to PII access and redaction, to ensure traceability and accountability.
Performance
Response Time: The application should have a reasonable response time for most user interactions, with document redaction processes completed within a reasonable timeframe, depending on document size and complexity.
Throughput: The system should be able to handle multiple document processing tasks simultaneously without significant performance degradation.
Reliability
Availability: The application should have an uptime of 99.9% in production environments.
Error Handling: The system should gracefully handle errors without crashing and provide meaningful error messages to users.
Usability
User Interface: The application should have an intuitive and user-friendly interface that allows users to easily upload documents, view and select PII entities, and manage redacted documents.
User Guidance: Clear instructions and help documentation should be provided to assist users in understanding and using the application effectively.
Scalability
Horizontal Scalability: The application architecture should support horizontal scaling to handle increased loads by adding more instances.
Vertical Scalability: The system should also be able to scale vertically by upgrading the existing infrastructure to handle more processing power as needed.
Maintainability
Modular Design: The application should be designed in a modular way to allow for easy updates and improvements.
Code Quality: The codebase should follow best practices and coding standards to ensure high quality and maintainability.
Documentation: Comprehensive documentation for developers should be provided, including API documentation, architectural diagrams, and coding standards.
Accuracy
PII Detection: The machine learning models used for PII detection should have a high accuracy rate, minimising false positives and false negatives.
Continuous Improvement: The system should incorporate mechanisms for continuous model improvement through human-in-the-loop processes and user feedback.
Compliance
Data Privacy Regulations: The application must comply with GDPR, CCPA, POPIA, and other relevant data privacy regulations.
Industry Standards: Compliance with industry-specific standards, such as HIPAA for healthcare data and PCI DSS for payment processing, must be ensured.
Interoperability
Integration: The application should seamlessly integrate with external document management systems like iManage and potentially other systems in the future.
Standard Protocols: The system should use standard protocols (e.g., RESTful APIs) to facilitate integration with other systems and services.
Extensibility
Future Enhancements: The application should be designed to allow for easy addition of new features and functionalities.
Customisability: The system should provide options for customisation to meet specific user requirements and preferences.