Quality Requirements
Quality Requirements
Section titled “Quality Requirements”This document expands on the Quality Requirements outlined in the SRS (Section 4.1.1), providing concrete justifications based on implementation decisions made in the AT-AT system.
1. Security
Section titled “1. Security”- JWT-based authentication ensures secure session management and identity validation.
- Role-Based Access Control (RBAC) prevents unauthorized access to scanning, reporting, and administrative features.
- Supabase integration handles secure user registration and encrypted password storage.
- Environment variables protect credentials and service keys (e.g., Supabase URL, secret keys).
- Scan isolation prevents user-submitted APIs from interfering with internal services.
2. Performance
Section titled “2. Performance”- Efficient scan execution ensures vulnerabilities are flagged quickly using heuristic logic.
- The Python backend is optimized for response time with time-limited scan jobs (default: 60 seconds).
- Frontend uses async fetch patterns to avoid blocking the UI during scans and report generation.
- Load time is minimized via lazy-loaded React components and route-based splitting.
3. Scalability
Section titled “3. Scalability”- Modular architecture allows frontend, API, and backend components to be deployed independently.
- Containerization (Docker) makes it easy to scale services across development and production environments.
- Stateless backend services can be replicated for load balancing and horizontal scaling in cloud environments.
4. Maintainability
Section titled “4. Maintainability”- Separation of concerns between UI, logic, and processing layers improves code readability and update frequency.
- GitHub Actions automate linting, testing, and deployments to reduce manual errors.
- Clear service contracts enforce consistent API behavior across updates.
- Typed JSON structures and standard responses improve developer onboarding.
5. Reliability
Section titled “5. Reliability”- Error handling middleware in API and backend layers ensure consistent failure responses.
- CI/CD pipelines verify code correctness before deployment.
- Logging (planned) will allow better issue tracing and user accountability in production.
6. Availability
Section titled “6. Availability”- The system should be accessible with minimal downtime.
- Container-based architecture enables rapid service recovery and restart.
- Stateless service design supports fault-tolerant deployment in cloud environments.
7. Correctness
Section titled “7. Correctness”- The system should behave as expected and detect threats accurately.
- CI tests and validation logic in the backend enforce correct operation.
- Service contracts and clearly defined request/response formats reduce implementation ambiguity.
8. Usability
Section titled “8. Usability”- Minimal, consistent UI design with feedback for all user actions (scan start, success/failure, logout).
- Responsive design supports multiple device sizes and platforms.
- Clear system messages and prompts improve accessibility and reduce user error.
9. Portability
Section titled “9. Portability”- Cross-platform development via Docker containers ensures that the system behaves identically on local, testing, and production machines.
- Environment variable usage enables quick switching between local, dev, and production settings.
Summary
Section titled “Summary”| Quality Attribute | Approach |
|---|---|
| Security | JWT, RBAC, Supabase, .env |
| Performance | Async fetch, time-limited scans |
| Scalability | Docker + modular services |
| Maintainability | Linting, CI/CD, contracts |
| Reliability | Error handling + testing |
| Availability | Stateless containers + cloud support |
| Correctness | Input validation + CI |
| Usability | Responsive UI, feedback |
| Portability | Docker + environment switching |