Testing and Quality Assurance

1. Test Environment Requirements

1.1. Mandatory Configuration

Perform all tests under the following conditions:

1.1.1. Database Support

  • Execute tests on both database platforms:

    • Oracle

    • MySQL

1.1.2. High Availability Configuration (for load tests)

  • Use a minimum of 2 ACS instances connecting to the same database

  • Configure load balancing across instances

  • Validate clustering and synchronization behavior

1.1.3. External Components

  • Hazelcast: Use an external cluster (built-in instance NOT permitted)

    • Number of instances: 1 or 2 (deployment decision)

    • Location: Co-located with ACS or separate host (deployment decision)

  • ClickHouse: Required for historical data storage and QoE testing

2. Test Categories

2.1. Deployment Testing

2.1.1. Deployment

Docker Deployment:

  • Container image validation

  • Docker Compose configuration testing

  • Environment variable injection

  • Volume mounting and persistence

  • Container networking

  • Health check validation

  • Log aggregation

  • Resource limit enforcement

Common Validation Points:

  • Application startup sequence completion

  • Liquibase migration success

  • Hazelcast cluster join verification

  • Protocol listener initialization (TR-069, MQTT, USP)

  • Web service endpoint availability

  • Log file creation and rotation

2.2. Functional Testing

2.2.1. Core Device Lifecycle

Device Registration Flow:

registration-flow

Test Cases:

  1. Initial device registration

    • First-time device connection

    • Serial number validation

    • Device model detection

    • Initial parameter retrieval

  2. Device provisioning

    • Configuration parameter setting

    • Firmware version verification

    • Service activation

    • Parameter validation

  3. Periodic inform handling

    • Scheduled inform processing

    • Connection request response

    • State synchronization

  4. Device re-registration

    • Factory reset scenario

    • Configuration restoration

    • Historical data preservation

2.2.2. Windstream Complex Flows

Validation Requirements:

  • End-to-end Windstream-specific workflows

  • Multi-step provisioning sequences

  • Custom parameter mappings

  • Integration points validation

  • Error handling and recovery

  • Performance under Windstream load patterns

Test Scenarios:

  • New subscriber activation

  • Service modification workflows

  • Troubleshooting procedures

  • Bulk operations specific to Windstream requirements

2.2.3. Update Group Testing

Basic Update Group Operations:

  1. Group creation and configuration

    • Group definition

    • Device membership assignment

    • Update policy configuration

    • Scheduling parameters

  2. Firmware update execution

    • Update initiation

    • Progress tracking

    • Success/failure handling

    • Rollback procedures

  3. Configuration update execution

    • Parameter updates to device groups

    • Validation of applied changes

    • Conflict resolution

  4. Multi-instance coordination

    • Update distribution across ACS instances

    • Cache synchronization via Hazelcast

    • Database locking and consistency

2.2.4. QoE Testing

Basic QoE Data Flow:

qoe-flow

Test Cases:

  1. QoE data ingestion

    • Data reception from devices

    • Pass-through to ClickHouse

    • Ingestion rate validation

    • Data integrity verification

  2. Historical data retrieval

    • Query performance

    • Data aggregation accuracy

    • Time-range queries

    • Grafana dashboard rendering

  3. High-volume scenarios

    • Multiple devices reporting simultaneously

    • Sustained high data rates

    • Storage capacity monitoring

2.3. Load Testing

2.3.1. Test Methodology

Comparative Analysis Goals:

  1. Version Comparison: Quantify performance improvements between old and new ACS versions

  2. Deployment Method Comparison: Identify performance differences between Docker and manual deployments

Test Approach:

  • Execute identical test scenarios across all configurations:

    • Old version (baseline)

    • New version - Manual deployment

    • New version - Docker deployment

  • Use the same device simulation tools and scripts

  • Use the same database and infrastructure configuration

  • Monitor in parallel with Grafana

  • Control the test environment (same hardware/network)

2.3.2. Device Load Testing

Test Scenarios:

  1. Concurrent device connections

    • Gradual ramp-up: 100, 500, 1000, 5000, 10000+ devices

    • Connection rate: devices per second

    • Sustained connection maintenance

    • Memory and CPU utilization tracking

  2. Inform message processing

    • Peak inform rate handling

    • Response time measurement (target: < 5 seconds)

    • Database query patterns

    • Cache hit ratios

  3. Concurrent operations

    • Mixed workload: inform + configuration + firmware updates

    • Multi-protocol simultaneous operations

    • Instance failover during load

2.3.3. Update Group Load Testing

Large-Scale Update Operations:

  1. Mass firmware updates

    • Update groups: 1000, 5000, 10000+ devices

    • Parallel download handling

    • Database write performance

    • Network bandwidth utilization

    • Hazelcast synchronization overhead

  2. Configuration mass updates

    • Bulk parameter changes

    • Staged rollout performance

    • Success rate tracking

Metrics to Capture:

Metric Measurement

Update initiation time

Time from trigger to first device notification

Completion time

Time to complete entire group update

Success rate

Percentage of successful updates

Database transactions/sec

Peak and average TPS

Memory consumption

Per-instance memory usage

CPU utilization

Per-instance CPU usage

Network throughput

Bandwidth utilization

Cache efficiency

Hazelcast hit/miss ratios

2.4. Automation Testing

2.4.1. API Testing Coverage

SOAP Web Services (ACSWS):

  • All WSDL operations tested

  • Request/response validation

  • Error handling scenarios

  • Authentication mechanisms

  • Concurrent request handling

  • Long-running operations

REST API:

  • All endpoint operations (GET, POST, PUT, DELETE)

  • Request validation (schema, parameters)

  • Response validation (status codes, payloads)

  • Authentication and authorization

  • Rate limiting behavior

  • Pagination handling

Subscription API:

  • Subscription lifecycle operations

  • Event delivery validation

  • Filter and query operations

  • Webhook functionality

2.4.2. Automation Framework

Tools and Technologies:

  • REST API: Postman/Newman, RestAssured, or similar

  • SOAP API: SoapUI, or similar

  • Test orchestration: CI/CD pipeline integration

  • Reporting: Test results aggregation and trending

Test Types:

  1. Smoke tests - Critical path validation

  2. Regression tests - Full API coverage

  3. Contract tests - API specification compliance

  4. Performance tests - API response time validation

2.4.3. Continuous Integration

  • Automate test execution on every build

  • Report and trend test results

  • Notify on failed tests

  • Track coverage metrics

2.5. Security Testing

2.5.1. Authentication and Authorization

  • TR-069 authentication modes (none, basic, digest)

  • API authentication mechanisms

  • Session management

  • Role-based access control (if applicable)

2.5.2. Vulnerability Assessment

  • Dependency vulnerability scanning

  • OWASP Top 10 validation

  • Penetration testing (if required)

  • TLS/SSL configuration validation

  • Certificate management

2.5.3. Data Protection

  • Sensitive data encryption at rest

  • Secure communication channels (TLS)

  • Database credential management

  • Configuration secret protection

2.6. Performance Monitoring

2.6.1. Grafana Dashboards

Required Dashboards:

  1. System Metrics

    • CPU, memory, disk I/O

    • JVM heap and garbage collection

    • Thread count and states

    • Network throughput

  2. Application Metrics

    • Request rates per protocol

    • Response time percentiles (p50, p95, p99)

    • Error rates

    • Active device connections

  3. Database Metrics

    • Query execution time

    • Connection pool utilization

    • Transaction rates

    • Slow query identification

  4. Cache Metrics

    • Hazelcast hit/miss ratios

    • Cache size and eviction rates

    • Cluster health

  5. QoE Metrics

    • Data ingestion rates

    • ClickHouse write performance

    • Storage utilization

2.6.2. Baseline Establishment

  • Capture performance baselines for all metrics

  • Document normal operating ranges

  • Establish alerting thresholds

  • Create performance regression tests

2.7. Failover and Recovery Testing

2.7.1. High Availability Scenarios

  1. ACS instance failure

    • Graceful shutdown of one instance

    • Ungraceful termination (kill -9)

    • Device session continuity

    • Request routing to surviving instance

  2. Database failover

    • Primary database failure

    • Switchover to standby

    • Application reconnection

    • Data consistency validation

  3. Hazelcast node failure

    • Single node failure

    • Cluster rebalancing

    • Cache data recovery

    • Performance impact

2.7.2. Disaster Recovery

  • Database backup and restore procedures

  • Configuration backup validation

  • Recovery time objective (RTO) measurement

  • Recovery point objective (RPO) validation

  • Full system restoration from backup

2.8. Upgrade Testing

2.8.1. Migration from Previous Version

  • Database migration (Liquibase) validation

  • Configuration migration to app.env

  • Data integrity post-migration

  • Rollback procedures

2.8.2. Zero-Downtime Upgrade

  • Rolling update across ACS instances

  • Device session preservation

  • Database schema compatibility

  • Cache invalidation and synchronization

3. Test Execution Plan

3.1. Phase 1: Deployment Validation (Week 1)

  • Linux Docker deployment

  • Linux manual deployment

  • Windows manual deployment

  • Error scenario documentation

3.2. Phase 2: Functional Testing (Week 2-3)

  • Device registration and provisioning

  • Windstream flows

  • Update group operations

  • QoE functionality

3.3. Phase 3: Load Testing (Week 4-5)

  • Device load tests

  • Update group load tests

  • QoE load tests (both modes)

  • Performance comparison with previous version

3.4. Phase 4: Automation and Integration (Week 6)

  • API automation suite execution

  • CI/CD pipeline integration

  • Security testing

  • Monitoring validation

3.5. Phase 5: Reliability Testing (Week 7)

  • Failover scenarios

  • Recovery procedures

  • Upgrade testing

  • Long-running stability test (72+ hours)

4. Test Deliverables

4.1. Documentation

  • Test plan (this document)

  • Test case specifications

  • Test execution results

  • Performance comparison report

  • Troubleshooting guide

  • Known issues and limitations

4.2. Reports

  • Functional test results summary

  • Load test performance metrics

  • API automation coverage report

  • Security assessment report

  • Grafana dashboard templates

4.3. Artifacts

  • Automated test suite

  • Performance test scripts

  • Deployment validation scripts

  • Monitoring configuration

5. Success Criteria

5.1. Functional Requirements

  • All device lifecycle operations successful

  • 100% Windstream flow validation pass rate

  • Update group operations on 10,000+ devices

  • QoE data integrity validated

5.2. Performance Requirements

  • 90%+ thread reduction vs. previous version confirmed

  • Inform response time < 5 seconds (100% compliance)

  • Other requests < 30 seconds (100% compliance)

  • QoE ingestion order of magnitude faster

  • Update group performance improvement demonstrated

5.3. Quality Requirements

  • Zero critical bugs in release candidate

  • API automation coverage > 80%

  • Security vulnerabilities: None (high/critical severity)

  • 72-hour stability test passed

5.4. Operational Requirements

  • Both Oracle and MySQL validated

  • 2-instance HA configuration validated

  • Grafana monitoring operational

  • Deployment procedures documented and validated