10. Quality Requirements (MVP)
10.1 MVP Quality Goals
Quality goals are defined in Section 1.2. This section details how they are measured and implemented.
MVP Quality Priorities
| Priority |
Quality Goal |
MVP Scenario |
Measurability |
| 1 |
Rapid Development |
MVP deliverable in 5 weeks |
Functional prototype |
| 2 |
Simulation Accuracy & Reliability |
Same inputs → identical results |
Reproducible simulation runs |
| 3 |
Usability & Accessibility |
No complex installation |
File-based configuration |
| 4 |
Simple Installation |
One-command setup |
uv sync |
| 5 |
Testability |
Business logic isolated |
Unit tests possible |
Note: Performance targets will be measured during MVP implementation. See Section 7.8 for monitoring approach.
graph TB
subgraph "MVP Performance Goals"
subgraph "Execution Time"
Config[Load configuration<br/>To be measured]
Setup[Configure workshop<br/>To be measured]
Sim[Simulation execution<br/>To be measured]
Output[Generate output<br/>To be measured]
end
subgraph "Resource Usage"
Memory[Memory usage<br/>To be measured]
CPU[CPU utilization<br/>Single-threaded]
Disk[Disk space<br/>Estimated: ~100 MB + results]
end
subgraph "Scalability"
Small[100 wagons<br/>To be measured]
Medium[1000 wagons<br/>To be measured]
Large[5000 wagons<br/>To be measured]
end
end
classDef time fill:#e3f2fd
classDef resource fill:#e8f5e8
classDef scale fill:#fff3e0
class Config,Setup,Sim,Output time
class Memory,CPU,Disk resource
class Small,Medium,Large scale
| Metric |
Measurement Method |
Acceptance Criterion |
| Startup time |
time python main.py --help |
To be measured on standard laptop |
| Configuration loading |
Logging timestamps |
JSON/CSV parsing |
| Simulation speed |
SimPy profiling |
Discrete event processing |
| Memory usage |
psutil monitoring |
To be measured |
| Output generation |
File creation time |
CSV + PNG generation |
10.3 MVP Usability Requirements
MVP Usability Goals
graph TB
subgraph "MVP Usability Goals"
subgraph "Ease of Use"
Install[Simple installation<br/>uv sync]
Config[Simple configuration<br/>JSON/CSV files]
Run[Simple execution<br/>uv run python main.py]
end
subgraph "Error Handling"
Clear[Clear error messages<br/>Actionable feedback]
Recovery[Graceful degradation<br/>Partial results on error]
Help[Built-in help<br/>--help parameter]
end
subgraph "Output Quality"
Readable[Readable output<br/>CSV format]
Visual[Visualization<br/>Matplotlib PNG]
Logs[Detailed logs<br/>Debugging information]
end
end
classDef ease fill:#4caf50,stroke:#2e7d32
classDef error fill:#ff9800,stroke:#e65100
classDef output fill:#2196f3,stroke:#1565c0
class Install,Config,Run ease
class Clear,Recovery,Help error
class Readable,Visual,Logs output
MVP Usability Criteria
| Aspect |
MVP Requirement |
Measurement Criterion |
| Installation |
Simple setup |
Documented steps |
| Configuration |
Example files available |
Template files in Data/examples/ |
| Execution |
One command starts simulation |
uv run python main.py |
| Error messages |
Understandable descriptions |
Pydantic comprehensive error summary |
| Help |
Integrated documentation |
--help parameter |
10.4 MVP Reliability Requirements
MVP Reliability Goals
graph TB
subgraph "MVP Reliability"
subgraph "Error Tolerance"
InputErrors[Input validation<br/>Catch invalid data]
RuntimeErrors[Runtime stability<br/>No crashes during simulation]
OutputErrors[Output robustness<br/>Partial results on error]
end
subgraph "Determinism"
Reproducible[Reproducible results<br/>Same input → same output]
Seeded[Seeded random<br/>Controlled randomness]
Consistent[Consistent behavior<br/>Cross-platform]
end
subgraph "Recovery"
Logging[Comprehensive logging<br/>Debug information]
Cleanup[Resource cleanup<br/>No memory leaks]
Restart[Easy restart<br/>No persistent state issues]
end
end
classDef tolerance fill:#e3f2fd
classDef determinism fill:#e8f5e8
classDef recovery fill:#fff3e0
class InputErrors,RuntimeErrors,OutputErrors tolerance
class Reproducible,Seeded,Consistent determinism
class Logging,Cleanup,Restart recovery
MVP Reliability Metrics
| Category |
MVP Goal |
Measurement Method |
| Crash rate |
< 1% with valid inputs |
Automated tests |
| Determinism |
100% identical results |
Repeated execution with same inputs |
| Error handling |
Graceful handling of all input errors |
Negative tests |
| Memory leaks |
No memory leaks |
Memory profiling |
10.5 MVP Maintainability Requirements
MVP Code Quality Standards
# MVP Code Quality Standards
class CodeQualityMetrics:
MAX_FUNCTION_LENGTH = 50 # Lines per function
MAX_CLASS_LENGTH = 200 # Lines per class
MAX_COMPLEXITY = 10 # Cyclomatic complexity
MIN_TEST_COVERAGE = 90 # Percent
MAX_DEPENDENCIES = 5 # Per module
MVP Maintainability Metrics
| Aspect |
MVP Goal |
Measurement Method |
| Code coverage |
> 90% for business logic |
pytest-cov |
| Documentation |
All public APIs documented |
Docstring coverage |
| Complexity |
Cyclomatic complexity < 10 |
radon |
| Dependencies |
< 10 external packages |
pyproject.toml |
| Refactoring |
Easy extension possible |
Architecture review |
10.6 MVP Portability Requirements
graph TB
subgraph "MVP Platform Support"
subgraph "Operating Systems"
Windows[Windows 10+<br/>Primary target]
MacOS[macOS 10.15+<br/>Primary target]
Linux[Ubuntu 20.04+<br/>Primary target]
end
subgraph "Python Versions"
Python313[Python 3.13+<br/>Required]
end
subgraph "Hardware"
Laptop[Standard laptop<br/>Estimated: 4GB RAM minimum]
Desktop[Desktop PC<br/>Estimated: 4GB RAM minimum]
end
end
classDef primary fill:#4caf50,stroke:#2e7d32
classDef secondary fill:#ff9800,stroke:#e65100
classDef hardware fill:#2196f3,stroke:#1565c0
class Windows,MacOS,Linux,Python313 primary
class Laptop,Desktop hardware
MVP Portability Tests
| Platform |
Test Status |
Critical Features |
| Windows 10+ |
✅ Primary |
File paths, CSV encoding |
| macOS 10.15+ |
✅ Primary |
Path separators, matplotlib |
| Ubuntu 20.04+ |
✅ Primary |
Dependencies, file permissions |
10.7 MVP Security Requirements
MVP Security Goals
graph TB
subgraph "MVP Security"
subgraph "Input Security"
Validation[Input validation<br/>Pydantic models]
Sanitization[Path sanitization<br/>No directory traversal]
Limits[Resource limits<br/>File size, memory]
end
subgraph "Data Security"
NoCredentials[No credentials<br/>No sensitive data stored]
LocalOnly[Local processing<br/>No network communication]
TempFiles[Safe temp files<br/>Proper cleanup]
end
subgraph "Error Security"
NoLeakage[No information leakage<br/>Safe error messages]
Logging[Safe logging<br/>No sensitive data in logs]
end
end
classDef input fill:#e3f2fd
classDef data fill:#e8f5e8
classDef error fill:#fff3e0
class Validation,Sanitization,Limits input
class NoCredentials,LocalOnly,TempFiles data
class NoLeakage,Logging error
MVP Security Measures
| Area |
MVP Measure |
Implementation |
| Input validation |
Pydantic models |
Automatic type validation |
| File access |
Relative paths only |
Path sanitization |
| Error handling |
Safe error messages |
No system paths in errors |
| Logging |
No sensitive data |
Filtered logging |
| Dependencies |
Known packages only |
pyproject.toml with versions |
10.8 MVP Testability Requirements
MVP Test Strategy
graph TB
subgraph "MVP Testing Strategy"
subgraph "Unit Tests"
Models[Domain Models<br/>Business Logic]
Services[Service classes<br/>Isolated testing]
Utils[Utility functions<br/>Pure functions]
end
subgraph "Integration Tests"
FileIO[File I/O<br/>JSON/CSV processing]
SimPy[SimPy integration<br/>Simulation engine]
EndToEnd[End-to-end<br/>Complete scenarios]
end
subgraph "Manual Tests"
Scenarios[Test scenarios<br/>Real configurations]
Performance[Performance tests<br/>Large datasets]
Platforms[Platform tests<br/>Cross-platform]
end
end
classDef unit fill:#4caf50,stroke:#2e7d32
classDef integration fill:#ff9800,stroke:#e65100
classDef manual fill:#9e9e9e,stroke:#616161
class Models,Services,Utils unit
class FileIO,SimPy,EndToEnd integration
class Scenarios,Performance,Platforms manual
MVP Test Metrics
| Test Type |
MVP Goal |
Automation |
| Unit tests |
> 80% coverage |
✅ pytest |
| Integration tests |
All main paths |
✅ pytest |
| Performance tests |
Benchmark scenarios |
⚠️ Manual |
| Platform tests |
Windows + Linux + macOS |
⚠️ Manual (can be automated via GitHub Actions matrix) |