# Agent Orchestration Platform - Testing Framework
**Comprehensive Testing Infrastructure & Guidelines**
This document provides complete guidance for using the sophisticated testing framework built for the Agent Orchestration Platform. Our testing infrastructure implements all ADDER+ techniques with enterprise-grade quality assurance.
## 🎯 Framework Overview
The Agent Orchestration Platform employs a multi-layered testing strategy that ensures:
- **Security-First Testing**: Comprehensive security validation and penetration testing
- **Property-Based Testing**: Hypothesis-driven testing for edge case discovery
- **Concurrent Operation Testing**: Race condition detection and resource safety
- **Performance Benchmarking**: Continuous performance monitoring and regression detection
- **Contract Validation**: Design by Contract testing with precondition/postcondition verification
- **CI/CD Integration**: Automated testing with quality gates and security scanning
### Testing Architecture
```
tests/
├── conftest.py # Global pytest configuration and fixtures
├── fixtures/ # Domain-specific test fixtures
│ └── domain.py # Agent, session, and state fixtures
├── mocks/ # Mock infrastructure for external dependencies
│ ├── iterm_manager.py # iTerm2 manager mocking
│ ├── claude_code.py # Claude Code integration mocking
│ └── filesystem.py # Filesystem operation mocking
├── strategies/ # Hypothesis strategies for property-based testing
│ └── hypothesis_strategies.py
├── properties/ # Property-based test templates
│ └── base_properties.py
├── security/ # Security testing framework
│ ├── penetration_tests.py # Penetration testing utilities
│ └── test_property_based_security.py
├── concurrent/ # Concurrent operation testing
│ └── operation_tester.py # Race condition and deadlock detection
├── performance/ # Performance benchmarking
│ └── benchmarks.py
├── integration/ # End-to-end integration tests
├── types/ # Type system validation tests
└── README.md # This documentation
```
## 🚀 Getting Started
### Prerequisites
```bash
# Ensure Python 3.10+ is installed
python --version
# Install development dependencies
pip install -e .[dev,test]
# Install pre-commit hooks for automated security scanning
pre-commit install
```
### Running Tests
#### Quick Test Suite (Development)
```bash
# Run unit tests with coverage
pytest tests/ --cov=src --cov-report=term-missing
# Run specific test categories
pytest tests/types/ -m unit
pytest tests/security/ -m security
pytest tests/performance/ -m performance
```
#### Full Test Suite (CI/CD)
```bash
# Complete test suite with all validations
pytest tests/ \
--cov=src \
--cov-report=html \
--cov-report=xml \
--cov-fail-under=95 \
--hypothesis-show-statistics \
--benchmark-only
# Security-focused testing
pytest tests/security/ tests/properties/ \
--hypothesis-verbosity=verbose \
--timeout=300
```
#### Property-Based Testing
```bash
# Run property-based tests with detailed statistics
pytest tests/properties/ \
--hypothesis-show-statistics \
--hypothesis-verbosity=verbose \
--hypothesis-seed=42
# Generate additional test cases
hypothesis ghostwriter --style=pytest src.types.agent > test_agent_generated.py
```
### Test Execution Matrix
| Test Type | Command | Duration | Coverage |
|-----------|---------|----------|----------|
| **Unit** | `pytest tests/ -m unit` | ~2 min | Core functionality |
| **Integration** | `pytest tests/integration/` | ~5 min | End-to-end flows |
| **Security** | `pytest tests/security/` | ~3 min | Vulnerability testing |
| **Property** | `pytest tests/properties/` | ~10 min | Edge case discovery |
| **Performance** | `pytest tests/performance/` | ~5 min | Benchmark validation |
| **Concurrent** | `pytest tests/concurrent/` | ~8 min | Race condition detection |
## 📋 Test Categories & Organization
### 1. Unit Tests (`tests/types/`, `tests/contracts/`, `tests/boundaries/`)
**Purpose**: Test individual components in isolation
**Scope**: Functions, classes, and modules
**Execution**: Fast, deterministic, isolated
```python
# Example unit test with ADDER+ techniques
@pytest.mark.unit
async def test_agent_creation_with_contracts(mock_iterm_manager, sample_session):
"""Test agent creation with comprehensive contract validation."""
# Contract preconditions
assert sample_session.is_valid()
assert sample_session.has_capacity()
# Execute operation
agent_manager = AgentManager(mock_iterm_manager)
result = await agent_manager.create_agent(
session_id=sample_session.id,
agent_name="Agent_1",
specialization="Test Agent"
)
# Contract postconditions
assert result.agent_id is not None
assert result.success is True
assert mock_iterm_manager.tab_exists(result.iterm_tab_id)
# Verify immutability
original_session_state = repr(sample_session)
await agent_manager.create_agent(sample_session.id, "Agent_2")
assert repr(sample_session) == original_session_state
```
### 2. Property-Based Tests (`tests/properties/`)
**Purpose**: Discover edge cases through automated test generation
**Scope**: Behavioral properties across input ranges
**Execution**: Hypothesis-driven, statistical validation
```python
from hypothesis import given, strategies as st
from tests.strategies.hypothesis_strategies import agent_name_strategy, malicious_input_strategy
@given(agent_name=agent_name_strategy())
@pytest.mark.property
async def test_agent_name_validation_property(agent_name: str):
"""Property: Valid agent names should always pass validation."""
result = validate_agent_name(agent_name)
assert result.is_valid is True
assert result.errors == []
@given(malicious_input=malicious_input_strategy())
@pytest.mark.security
@pytest.mark.property
async def test_input_sanitization_property(malicious_input: str):
"""Property: No malicious input should bypass sanitization."""
try:
sanitized = sanitize_input(malicious_input)
assert is_safe_for_execution(sanitized)
assert not contains_injection_patterns(sanitized)
except SecurityError:
# Security exceptions are expected for malicious input
pass
```
### 3. Security Tests (`tests/security/`)
**Purpose**: Validate security boundaries and prevent vulnerabilities
**Scope**: Authentication, authorization, input validation, injection prevention
**Execution**: Penetration testing, fuzzing, boundary validation
```python
import pytest
from tests.security.penetration_tests import SecurityTestFramework
@pytest.mark.security
async def test_sql_injection_resistance():
"""Test resistance to SQL injection attacks."""
security_framework = SecurityTestFramework()
malicious_inputs = [
"'; DROP TABLE agents; --",
"' OR '1'='1",
"'; DELETE FROM sessions WHERE 1=1; --"
]
for injection_attempt in malicious_inputs:
with pytest.raises((SecurityError, ValidationError)):
await process_user_input(injection_attempt)
@pytest.mark.security
async def test_privilege_escalation_prevention():
"""Test prevention of privilege escalation attempts."""
unprivileged_context = {"user_role": "guest", "permissions": ["read"]}
with pytest.raises(AuthorizationError):
await perform_admin_operation(unprivileged_context)
```
### 4. Concurrent Tests (`tests/concurrent/`)
**Purpose**: Detect race conditions, deadlocks, and resource contention
**Scope**: Multi-agent operations, concurrent session management
**Execution**: Parallel execution with synchronization monitoring
```python
from tests.concurrent.operation_tester import ConcurrentOperationTester, concurrent_test
@concurrent_test(max_workers=8, operations_per_worker=10)
async def test_concurrent_agent_creation(tester: ConcurrentOperationTester):
"""Test concurrent agent creation for race conditions."""
async def create_agent_operation(agent_index: int):
return await agent_manager.create_agent(
session_id="test_session",
agent_name=f"Agent_{agent_index}"
)
# Run concurrent operations
metrics = await tester.run_concurrent_operations(
create_agent_operation,
operation_args=[(i,) for i in range(50)]
)
# Verify no race conditions detected
assert metrics.race_conditions_detected == 0
assert metrics.deadlocks_detected == 0
assert metrics.success_rate > 95.0
```
### 5. Performance Tests (`tests/performance/`)
**Purpose**: Monitor performance and detect regressions
**Scope**: Critical operations, resource usage, response times
**Execution**: Benchmarking with statistical analysis
```python
import pytest
from pytest_benchmark.fixture import BenchmarkFixture
@pytest.mark.performance
def test_agent_creation_performance(benchmark: BenchmarkFixture):
"""Benchmark agent creation performance."""
def create_agent_benchmark():
return agent_manager.create_agent_sync(
session_id="perf_test",
agent_name="Benchmark_Agent"
)
result = benchmark(create_agent_benchmark)
# Performance assertions
assert result.stats.mean < 0.5 # Sub-500ms creation
assert result.stats.stddev < 0.1 # Low variance
```
### 6. Integration Tests (`tests/integration/`)
**Purpose**: Test complete workflows and system interactions
**Scope**: End-to-end scenarios, external dependency integration
**Execution**: Real system interactions with cleanup
```python
@pytest.mark.integration
async def test_complete_agent_lifecycle():
"""Test complete agent lifecycle from creation to deletion."""
# Create session
session = await session_manager.create_session(
name="Integration Test Session",
root_path="/tmp/integration_test"
)
try:
# Create agent
agent = await agent_manager.create_agent(
session_id=session.id,
agent_name="Integration_Agent"
)
# Send message
response = await message_sender.send_message_to_agent(
agent_name="Integration_Agent",
message="Test message with ADDER+ prompt"
)
# Verify response
assert response.success is True
assert "Agent_" in response.message_content
# Delete agent
deletion_result = await agent_manager.delete_agent(agent.id)
assert deletion_result.success is True
finally:
# Cleanup
await session_manager.delete_session(session.id)
```
## 🛡️ Security Testing Guide
### Penetration Testing Framework
Our security testing framework (`tests/security/penetration_tests.py`) provides comprehensive utilities for security validation:
```python
from tests.security.penetration_tests import SecurityTestFramework
async def test_comprehensive_security_validation():
"""Run comprehensive security validation."""
security_framework = SecurityTestFramework()
# Test input injection resistance
await security_framework.test_input_injection_resistance(
input_handler=process_user_input,
malicious_inputs=CUSTOM_ATTACK_VECTORS
)
# Test privilege escalation prevention
await security_framework.test_privilege_escalation_resistance(
privileged_operation=admin_function,
unprivileged_context=guest_context
)
# Test resource exhaustion resistance
await security_framework.test_resource_exhaustion_resistance(
resource_operation=intensive_computation,
excessive_parameters={"iterations": 1000000}
)
```
### Security Test Categories
1. **Input Validation Testing**
- SQL injection prevention
- XSS attack resistance
- Command injection blocking
- Path traversal protection
2. **Authentication & Authorization**
- Token validation
- Permission checking
- Session security
- Privilege escalation prevention
3. **Data Protection**
- Encryption validation
- Secure storage verification
- Data leakage prevention
- Privacy boundary enforcement
4. **Resource Protection**
- Rate limiting
- Resource exhaustion prevention
- DoS attack resistance
- Memory safety validation
### Security Testing Best Practices
```python
# 1. Always test with malicious input strategies
@given(malicious_input=malicious_input_strategy())
def test_input_handler(malicious_input):
with pytest.raises((SecurityError, ValidationError)):
process_input(malicious_input)
# 2. Verify security boundaries are maintained
def test_security_boundary():
with security_context("limited_permissions"):
with pytest.raises(AuthorizationError):
privileged_operation()
# 3. Test for information leakage
def test_no_information_leakage():
try:
unauthorized_operation()
except SecurityError as e:
assert "internal details" not in str(e)
assert not contains_sensitive_info(str(e))
```
## ⚡ Performance Testing Guide
### Benchmarking Framework
```python
import pytest
from pytest_benchmark.fixture import BenchmarkFixture
@pytest.mark.performance
def test_critical_operation_performance(benchmark: BenchmarkFixture):
"""Benchmark critical operation with acceptance criteria."""
# Setup
test_data = generate_test_data()
# Benchmark execution
result = benchmark.pedantic(
critical_operation,
args=(test_data,),
iterations=100,
rounds=10
)
# Performance assertions
assert result.stats.mean < PERFORMANCE_THRESHOLD
assert result.stats.max < MAX_RESPONSE_TIME
assert result.stats.stddev < VARIANCE_THRESHOLD
```
### Performance Test Categories
1. **Latency Testing**
- Response time measurement
- P95/P99 latency tracking
- Performance regression detection
2. **Throughput Testing**
- Operations per second
- Concurrent request handling
- Resource utilization efficiency
3. **Resource Usage Testing**
- Memory consumption
- CPU utilization
- File descriptor usage
4. **Scalability Testing**
- Load testing with increasing agents
- Stress testing under extreme conditions
- Breaking point identification
## 🔄 Concurrent Testing Guide
### Race Condition Detection
```python
from tests.concurrent.operation_tester import ConcurrentOperationTester
async def test_concurrent_state_modification():
"""Test for race conditions in state modification."""
tester = ConcurrentOperationTester()
async def modify_state_operation(modification_id: int):
# Record state access for race detection
tester.race_detector.record_access(
"shared_state", "write", f"worker_{modification_id}"
)
# Perform state modification
await modify_shared_state(modification_id)
# Run concurrent modifications
metrics = await tester.run_concurrent_operations(
modify_state_operation,
operation_args=[(i,) for i in range(20)],
num_workers=10
)
# Verify no race conditions
assert metrics.race_conditions_detected == 0
assert metrics.success_rate == 100.0
```
### Deadlock Prevention Testing
```python
async def test_deadlock_prevention():
"""Test deadlock prevention in multi-resource scenarios."""
deadlock_detector = DeadlockDetector(timeout=10.0)
async def acquire_multiple_resources(worker_id: str):
# Simulate lock acquisition pattern
deadlock_detector.wait_for_lock(worker_id, "resource_a")
async with resource_a_lock:
deadlock_detector.acquire_lock(worker_id, "resource_a")
deadlock_detector.wait_for_lock(worker_id, "resource_b")
async with resource_b_lock:
deadlock_detector.acquire_lock(worker_id, "resource_b")
# Perform work
await do_work()
deadlock_detector.release_lock(worker_id, "resource_b")
deadlock_detector.release_lock(worker_id, "resource_a")
# Run concurrent resource access
tasks = [
acquire_multiple_resources(f"worker_{i}")
for i in range(5)
]
await asyncio.gather(*tasks)
# Verify no deadlocks detected
assert len(deadlock_detector.get_deadlocks()) == 0
```
## 🔧 CI/CD Integration
### GitHub Actions Workflow
Our comprehensive CI/CD pipeline (`.github/workflows/test.yml`) provides:
- **Multi-OS Testing**: Ubuntu and macOS
- **Python Version Matrix**: 3.10, 3.11, 3.12
- **Quality Gates**: 95% coverage threshold
- **Security Scanning**: Bandit, Safety, pip-audit
- **Performance Monitoring**: Benchmark regression detection
- **Artifact Collection**: Test reports, coverage data, security scans
### Workflow Triggers
```yaml
# Automatic triggers
on:
push:
branches: [ main, develop, feature/*, hotfix/* ]
pull_request:
branches: [ main, develop ]
schedule:
- cron: '0 2 * * *' # Nightly security scans
# Manual triggers
workflow_dispatch:
inputs:
test_level:
type: choice
options: ['quick', 'full', 'security', 'performance']
```
### Quality Gates
The CI/CD pipeline enforces these quality gates:
1. **Code Quality**: Black formatting, isort imports, flake8 linting
2. **Type Safety**: MyPy strict type checking
3. **Security**: Bandit security analysis, dependency vulnerability scanning
4. **Test Coverage**: Minimum 95% line and branch coverage
5. **Performance**: No regressions in critical operation benchmarks
6. **Concurrency**: Zero race conditions or deadlocks detected
### Local Development Integration
```bash
# Install pre-commit hooks
pre-commit install
# Run local quality checks (mirrors CI)
pre-commit run --all-files
# Run security scanning
bandit -r src/ -f json -o security-report.json
safety check --json --output safety-report.json
# Generate coverage report
pytest --cov=src --cov-report=html
open htmlcov/index.html
```
## 📝 Best Practices & Guidelines
### 1. Test Organization
```python
# Good: Clear test naming and organization
class TestAgentCreation:
"""Test suite for agent creation functionality."""
@pytest.mark.unit
async def test_valid_agent_creation_succeeds(self):
"""Test that valid agent creation succeeds with proper state."""
pass
@pytest.mark.unit
async def test_invalid_agent_name_raises_validation_error(self):
"""Test that invalid agent names raise ValidationError."""
pass
@pytest.mark.property
@given(agent_name=invalid_agent_name_strategy())
async def test_invalid_agent_names_always_fail(self, agent_name):
"""Property: Invalid agent names should always fail validation."""
pass
```
### 2. Fixture Design
```python
# Good: Composable fixtures with clear scope
@pytest.fixture(scope="session")
async def test_database():
"""Session-scoped database for integration tests."""
db = await create_test_database()
yield db
await cleanup_test_database(db)
@pytest.fixture
async def clean_session(test_database):
"""Function-scoped clean session for each test."""
session = await create_test_session(test_database)
yield session
await cleanup_session(session)
@pytest.fixture
def sample_agent_config():
"""Sample agent configuration for testing."""
return AgentConfig(
name="Test_Agent",
model="sonnet-3.5",
specialization="Testing",
resource_limits=ResourceLimits(memory_mb=512)
)
```
### 3. Property-Based Test Design
```python
# Good: Meaningful properties with proper constraints
@given(
session_id=session_id_strategy(),
agent_count=st.integers(min_value=1, max_value=8)
)
@pytest.mark.property
async def test_session_agent_capacity_property(session_id, agent_count):
"""Property: Sessions should enforce agent capacity limits."""
assume(agent_count <= MAX_AGENTS_PER_SESSION)
session = await create_session(session_id)
# Create agents up to capacity
for i in range(agent_count):
result = await create_agent(session_id, f"Agent_{i}")
assert result.success is True
# Next agent should fail if at capacity
if agent_count == MAX_AGENTS_PER_SESSION:
with pytest.raises(CapacityError):
await create_agent(session_id, "Excess_Agent")
```
### 4. Error Testing
```python
# Good: Comprehensive error scenario testing
@pytest.mark.parametrize("error_scenario", [
("network_timeout", NetworkTimeout),
("permission_denied", PermissionError),
("invalid_config", ConfigurationError),
("resource_exhausted", ResourceError)
])
async def test_error_handling(error_scenario, mock_dependency):
"""Test proper error handling for various failure modes."""
scenario_name, expected_exception = error_scenario
# Configure mock to simulate error
mock_dependency.configure_error(scenario_name)
# Verify proper error handling
with pytest.raises(expected_exception) as exc_info:
await operation_under_test()
# Verify error details
assert "user-friendly message" in str(exc_info.value)
assert not contains_sensitive_info(str(exc_info.value))
```
### 5. Security Test Guidelines
```python
# Good: Comprehensive security validation
@pytest.mark.security
@pytest.mark.parametrize("attack_vector", [
"sql_injection",
"xss_attack",
"command_injection",
"path_traversal",
"privilege_escalation"
])
async def test_security_boundary(attack_vector):
"""Test security boundaries against various attack vectors."""
# Get attack payload for vector
payload = get_attack_payload(attack_vector)
# Attempt attack
try:
result = await process_user_input(payload)
# If no exception, verify result is safe
assert is_sanitized(result)
assert not contains_attack_signature(result)
except (SecurityError, ValidationError) as e:
# Security exceptions are expected
verify_safe_error_message(e)
```
## 🔍 Troubleshooting Guide
### Common Issues & Solutions
#### 1. Test Failures in CI but Pass Locally
**Symptoms**: Tests pass on local machine but fail in GitHub Actions
**Causes**: Environment differences, timing issues, resource constraints
**Solutions**:
```bash
# Run tests with CI environment simulation
pytest tests/ --tb=long --capture=no -v
# Check for timing-sensitive tests
pytest tests/ --durations=10
# Test with resource constraints
ulimit -m 1048576 # Limit memory to 1GB
pytest tests/
```
#### 2. Property-Based Test Failures
**Symptoms**: Hypothesis finds failing examples that seem edge cases
**Causes**: Incomplete property definition, missing assumptions
**Solutions**:
```python
# Add proper assumptions to constrain input space
from hypothesis import assume
@given(data=data_strategy())
def test_property(data):
assume(data.is_valid()) # Constrain to valid inputs
assume(len(data.items) > 0) # Ensure non-empty
result = process_data(data)
assert result.is_consistent()
```
#### 3. Concurrent Test Flakiness
**Symptoms**: Concurrent tests occasionally fail with race conditions
**Causes**: Inadequate synchronization, timing dependencies
**Solutions**:
```python
# Use proper synchronization primitives
async def test_concurrent_operation():
barrier = asyncio.Barrier(num_workers)
async def worker():
await barrier.wait() # Synchronize start
return await operation()
results = await asyncio.gather(*[worker() for _ in range(num_workers)])
verify_results(results)
```
#### 4. Coverage Gaps
**Symptoms**: Coverage below 95% threshold
**Causes**: Untested code paths, missing edge cases
**Solutions**:
```bash
# Generate detailed coverage report
pytest --cov=src --cov-report=html --cov-report=term-missing
# Identify uncovered lines
coverage report --show-missing
# Generate missing tests
hypothesis ghostwriter --style=pytest src.module > test_generated.py
```
#### 5. Performance Test Failures
**Symptoms**: Performance benchmarks failing due to regression
**Causes**: Code changes impacting performance, environment differences
**Solutions**:
```bash
# Profile performance bottlenecks
pytest tests/performance/ --benchmark-autosave
# Compare with baseline
pytest-benchmark compare 0001 0002
# Generate performance report
pytest tests/performance/ --benchmark-histogram
```
### Debug Commands
```bash
# Verbose test execution with full output
pytest tests/ -v -s --tb=long
# Run specific test with debugging
pytest tests/test_module.py::test_function -v -s --pdb
# Generate test report with coverage
pytest tests/ \
--cov=src \
--cov-report=html \
--html=test-report.html \
--self-contained-html
# Security scan with detailed output
bandit -r src/ -f json -o bandit-report.json
python -m json.tool bandit-report.json
# Property-based test debugging
pytest tests/properties/ \
--hypothesis-verbosity=verbose \
--hypothesis-show-statistics \
--hypothesis-seed=42
```
## 📊 Metrics & Reporting
### Key Testing Metrics
1. **Coverage Metrics**
- Line coverage: ≥95%
- Branch coverage: ≥90%
- Function coverage: ≥95%
2. **Quality Metrics**
- Cyclomatic complexity: ≤15
- Test-to-code ratio: ≥1:1
- Documentation coverage: ≥90%
3. **Security Metrics**
- Zero critical vulnerabilities
- ≤3 high-severity issues
- Security test coverage: 100%
4. **Performance Metrics**
- Agent creation: <500ms
- Message sending: <100ms
- Session management: <200ms
### Automated Reporting
The CI/CD pipeline generates comprehensive reports:
- **Test Reports**: HTML and JUnit XML formats
- **Coverage Reports**: HTML, XML, and JSON formats
- **Security Reports**: JSON and SARIF formats
- **Performance Reports**: Benchmark histograms and trend analysis
- **Quality Reports**: Code quality metrics and trends
## 🎓 Advanced Testing Techniques
### Contract-Based Testing
```python
from contracts import require, ensure
@require(lambda agent_name: is_valid_agent_name(agent_name))
@require(lambda session_id: session_exists(session_id))
@ensure(lambda result: result.agent_id is not None)
async def create_agent_with_contracts(session_id, agent_name):
"""Create agent with comprehensive contract validation."""
return await agent_manager.create_agent(session_id, agent_name)
# Test contract enforcement
async def test_contract_enforcement():
"""Test that contracts are properly enforced."""
# Precondition violation should raise ContractError
with pytest.raises(ContractError):
await create_agent_with_contracts("invalid_session", "Agent_1")
# Valid call should succeed and satisfy postconditions
result = await create_agent_with_contracts("valid_session", "Agent_1")
assert result.agent_id is not None # Postcondition verified
```
### Mutation Testing
```bash
# Install mutation testing tool
pip install mutmut
# Run mutation testing
mutmut run --paths-to-mutate=src/
# View mutation results
mutmut html
open html/index.html
```
### Chaos Engineering for Tests
```python
import random
from tests.chaos import ChaosTester
@pytest.mark.chaos
async def test_system_resilience_under_chaos():
"""Test system resilience under chaotic conditions."""
chaos_tester = ChaosTester()
# Inject various failures
chaos_config = {
"network_failures": 0.1, # 10% network failure rate
"memory_pressure": 0.05, # 5% memory pressure events
"disk_failures": 0.02, # 2% disk failure rate
"cpu_spikes": 0.08 # 8% CPU spike events
}
async with chaos_tester.inject_chaos(chaos_config):
# Run normal operations under chaos
results = await run_normal_operations()
# Verify system remains functional
assert results.success_rate > 0.8 # 80% success under chaos
assert results.error_recovery_rate > 0.9 # 90% error recovery
```
---
## 📚 Additional Resources
- **Hypothesis Documentation**: https://hypothesis.readthedocs.io/
- **pytest Documentation**: https://docs.pytest.org/
- **Security Testing Guide**: https://owasp.org/www-project-web-security-testing-guide/
- **Property-Based Testing**: https://increment.com/testing/in-praise-of-property-based-testing/
- **Concurrent Testing Patterns**: https://jepsen.io/
## 🤝 Contributing to Testing
When adding new features or fixing bugs:
1. **Write tests first** (TDD approach)
2. **Include property-based tests** for complex logic
3. **Add security tests** for user-facing functionality
4. **Update documentation** for new testing patterns
5. **Verify CI/CD passes** all quality gates
For questions or suggestions about the testing framework, please refer to the development team or create an issue in the project repository.
---
**Testing Framework Version**: 1.0.0
**Last Updated**: 2025-06-26
**Framework Author**: Adder_1 (ADDER+ Agent)
**Compliance**: ADDER+ Techniques, Enterprise Standards, Security-First Design
