Read Cycle Management (MX02US02)
Read Cycle Management - Comprehensive Test Suite (MX02US02)
Executive Summary
Project: Utility Meter Compass - Read Cycle Management
User Story: MX02US02
Test Suite Version: 1.0
Created Date: January 28, 2025
Target Customer: Small & Medium Utilities
Platform: Web Application (Chrome Browser)
Test Coverage Overview
- Total Test Cases: 12 (10 Functional + 2 API)
- Critical Test Cases: 7 (P1 Priority)
- Performance Benchmarks: API < 1s, Page Load < 3s
- Integration Points: CX, MX, ONB, Mobile App
- Automation Coverage: 65% planned automation
Test Scenario Analysis
A. Functional Test Scenarios Summary
Category | Scenarios | Priority | Business Impact |
---|---|---|---|
Core Functionality | 4 scenarios | P1-Critical | Revenue Impact High |
Business Rules | 3 scenarios | P2-High | Compliance & Validation |
Integration | 3 scenarios | P1-Critical | System Dependencies |
Performance | 2 scenarios | P2-High | User Experience |
B. Risk Assessment Matrix
Risk Area | Probability | Impact | Mitigation | Test Cases |
---|---|---|---|---|
Real-time Data Sync | Medium | High | Automated monitoring | TC_002, TC_006 |
Mobile Integration | Low | Critical | Comprehensive testing | TC_009, API_002 |
System Integration | Medium | Critical | Dependency testing | TC_006, TC_008 |
Performance Degradation | Low | High | Load testing | TC_007 |
Complete Test Cases for Read Cycle Management System
Test Case 1: Create New Read Cycle - Happy Path
Test Case Metadata
- Test Case ID:
RC_CREATE_001MX02US02_TC_001 - Test Case Name: Create New Read Cycle with Valid Data
- Created By: QA Team
- Created Date: 2025-06-23
- Last Updated: 2025-06-23
- Version: 1.0
Classification
- Test Type: Functional, UI, API
- Test Level: Integration
- Priority: High
- Severity: Critical
- Test Category: Positive Testing
Enhanced Tags
- happy-path: ✓
- MX Service: ✓
- Database: ✓
- Cross-service: ✓
- Code_Module_Mapped: MX
- Browser_Compatibility: Chrome, Firefox, Safari, Edge
- Device_Type: Desktop, Tablet
- User_Role: Meter_Reading_Supervisor
Business Context
- Business Function: Read Cycle Planning and Management
- Business Impact: High - Core functionality for meter reading operations
- User Story: As a Meter Reading Supervisor, I need to create read cycles to organize meter reading activities
- Business Rule Reference: BR_001, BR_002, BR_003
Quality Metrics
- Expected Execution Time: 5-8 minutes
- Complexity Score: Medium
- Risk Level: High
- Automation Feasibility: High
Coverage Tracking
- Requirements Coverage: REQ_001, REQ_002, REQ_003, REQ_004
- User Story Coverage: US_001
- Business Rules Coverage: BR_001, BR_002, BR_003, BR_007
- Acceptance Criteria Coverage: AC_001, AC_002, AC_003, AC_006
Stakeholder Reporting
- Primary Stakeholder: Meter Reading Supervisor
- Secondary Stakeholders: Operations Manager, IT Administrator
- Reporting Level: Executive Dashboard
Requirements Traceability
- Epic: Meter Reading Management
- Feature: Read Cycle Creation
- User Story: Create and manage read cycles for multiple meter routes
- Acceptance Criteria: System must allow creation of read cycles with unique names
Test Environment
- Environment: QA/Staging
- Database: PostgreSQL 13.x
- Application Server: Node.js 18.x
- Web Server: Nginx 1.20
- Browser: Chrome 115+, Firefox 115+, Safari 16+, Edge 115+
- Operating System: Windows 10/11, macOS 12+, Ubuntu 20.04+
- Network: Stable internet connection (min 10 Mbps)
Prerequisites
- User has valid Meter Reading Supervisor credentials
- At least 3 routes with active meters exist in the system
- Areas and Sub-areas are configured in the system
- Utility services are properly configured
- Test data for meters is available
- Database is in clean state with sample data
- All dependent services are running
Test Procedure
Step | Action | Expected Result | Notes |
---|---|---|---|
1 | Login and Navigation | ||
1.1 | Open browser and navigate to application URL | Application login page displays | |
1.2 | Login with valid Meter Reading Supervisor credentials | Successful login and dashboard display | |
1.3 | Navigate to "Read Cycles" section from main menu | Read Cycles list page displays with summary cards | |
2 | Initiate Read Cycle Creation | ||
2.1 | Click "Create Read Cycle" button in upper right corner | "Create Read Cycle" form opens | |
2.2 | Verify all required fields are displayed | All mandatory fields visible with proper labels | Required: Name, Area, Sub Area, Utility Service, Duration |
3 | Fill Basic Information | ||
3.1 | Enter unique Read Cycle Name: "Test Cycle Q2 2025" | Field accepts input without errors | |
3.2 | Select Area from dropdown: "Downtown District" | Area selection updates Sub Area dropdown | |
3.3 | Select Sub Area: "Commercial Zone" | Sub Area selected successfully | |
3.4 | Select Utility Service: "Water" | Utility Service selected | |
3.5 | Enter Cycle Duration: "30" days | Duration field accepts valid range (1-90) | |
3.6 | Verify Meter Dashboard updates on right panel | Dashboard shows real-time meter statistics | |
4 | Route Selection | ||
4.1 | Review available routes in the selection table | Table displays: Route Name, Read Type, Meters, Premises | |
4.2 | Select 3 routes using checkboxes | Routes selected with visual confirmation | Downtown Commercial Routes A, B, C |
4.3 | Verify real-time updates in dashboard metrics | Selected Routes counter and Meter Dashboard update | Total: 85 meters across 3 routes |
5 | Verify Dashboard Updates | ||
5.1 | Verify "Meters in This Cycle" section updates | Total meters: 85, Active/Inactive breakdown shown | |
5.2 | Verify "Meter Conditions" section | Normal, Faulty, RCNT, Others counts displayed | |
5.3 | Verify "Meter Categories" section | Residential, Commercial, Industrial, Government, Agricultural shown | |
5.4 | Verify "Consumers" section | Consumer counts updated correctly | |
6 | Create Read Cycle | ||
6.1 | Review Read Cycle Summary | Summary shows: 3 routes, 85 meters, 30 days duration | |
6.2 | Click "Create Read Cycle" button | Success confirmation message displays | |
6.3 | Verify navigation back to Read Cycles list | Returns to list with new cycle visible |
Verification Points
UI Verification
- [ ] Create Read Cycle form displays all required fields
- [ ] All dropdowns populate with correct data
- [ ] Meter Dashboard updates in real-time
- [ ] Route selection updates counters correctly
- [ ] Success message displays after creation
- [ ] Navigation returns to Read Cycles list
Data Verification
- [ ] New read cycle appears in the list with correct details
- [ ] Read Cycle Name is unique and matches input
- [ ] Selected routes are associated with the cycle
- [ ] Meter counts match selected routes
- [ ] Consumer counts are calculated correctly
- [ ] Created By field shows current user
- [ ] Created On shows current date
API Verification
- [ ] POST /api/read-cycles creates new record
- [ ] Response includes generated cycle ID
- [ ] Database record created with correct relationships
- [ ] Audit trail entry created for cycle creation
- [ ] Route assignments saved correctly
Business Logic Verification
- [ ] Cycle duration validation (1-90 days)
- [ ] Unique name validation enforced
- [ ] Route conflict detection works
- [ ] Meter condition calculations accurate
- [ ] Category distribution calculations correct
Test Results
- Expected Result: Read cycle created successfully with all data correctly saved and displayed
- Pass Criteria: All verification points pass, cycle appears in list with correct data
- Fail Criteria: Any verification point fails, data inconsistency, or system error
Acceptance Criteria Coverage: 100%
- ✓ AC_001: System allows creation with unique names
- ✓ AC_002: Dashboard counters display accurate counts
- ✓ AC_003: Route selection updates meter counts real-time
- ✓ AC_004: Prevents scheduling conflicts (tested in route selection)
- ✓ AC_005: Displays meter condition metrics
- ✓ AC_006: Shows meter category distribution
- ✓ AC_007: Cycle duration validation (1-90 days)
Test Case 2: Read Cycle Dashboard Monitoring
Test Case Metadata
- Test Case ID:
RC_MONITOR_001MX02US02_TC_002 - Test Case Name: Verify Dashboard Counters and Real-time Updates
- Created By: QA Team
- Created Date: 2025-06-23
- Last Updated: 2025-06-23
- Version: 1.0
Classification
- Test Type: Functional, UI, Performance
- Test Level: Integration
- Priority: High
- Severity: Critical
- Test Category: Positive Testing
Enhanced Tags
- happy-path: ✓
- MX Service: ✓
- Database: ✓
- real-time-updates: ✓
- Code_Module_Mapped: MX
- Browser_Compatibility: Chrome, Firefox, Safari, Edge
- Device_Type: Desktop, Tablet, Mobile
- User_Role: Meter_Reading_Supervisor
Business Context
- Business Function: Read Cycle Monitoring and Tracking
- Business Impact: High - Critical for operational visibility
- User Story: Monitor read cycle progress with real-time dashboard
- Business Rule Reference: BR_008, BR_009, BR_010
Quality Metrics
- Expected Execution Time: 3-5 minutes
- Complexity Score: Medium
- Risk Level: Medium
- Automation Feasibility: High
Coverage Tracking
- Requirements Coverage: REQ_005, REQ_006, REQ_007
- User Story Coverage: US_002
- Business Rules Coverage: BR_008, BR_009, BR_010
- Acceptance Criteria Coverage: AC_008, AC_009, AC_010, AC_011
Stakeholder Reporting
- Primary Stakeholder: Meter Reading Supervisor
- Secondary Stakeholders: Operations Manager
- Reporting Level: Operational Dashboard
Requirements Traceability
- Epic: Meter Reading Management
- Feature: Dashboard Monitoring
- User Story: Track progress of active read cycles
- Acceptance Criteria: Dashboard displays accurate real-time metrics
Test Environment
- Environment: QA/Staging
- Database: PostgreSQL 13.x with real-time triggers
- Application Server: Node.js 18.x with WebSocket support
- Web Server: Nginx 1.20
- Browser: Chrome 115+, Firefox 115+, Safari 16+, Edge 115+
- Real-time Updates: WebSocket connection required
Prerequisites
- Multiple read cycles exist in different states (Active, Completed, Delayed)
- User has dashboard access permissions
- WebSocket connection is functional
- Test data includes cycles with various completion percentages
- Database contains representative meter data across categories
Test Procedure
Step | Action | Expected Result | Notes |
---|---|---|---|
1 | Access Dashboard | ||
1.1 | Login as Meter Reading Supervisor | Successful authentication and access | |
1.2 | Navigate to Read Cycles section | Read Cycles page loads with dashboard | |
1.3 | Verify dashboard loads with summary cards | Three counter cards display: Active, Completed, Delayed | |
2 | Verify Counter Accuracy | ||
2.1 | Count actual active cycles in the list | Manual count of active cycles | |
2.2 | Compare with "Active Cycles" counter | Counter matches actual count | |
2.3 | Count completed cycles in the list | Manual count of completed cycles | |
2.4 | Compare with "Completed Cycles" counter | Counter matches actual count | |
2.5 | Count delayed cycles in the list | Manual count of delayed cycles | |
2.6 | Compare with "Delayed Cycles" counter | Counter matches actual count | |
3 | Test Real-time Updates | ||
3.1 | Open second browser tab/window | Second session opened | |
3.2 | Create a new read cycle in second tab | New cycle created successfully | |
3.3 | Switch back to first tab | "Active Cycles" counter increments automatically | No page refresh |
3.4 | Complete a cycle in second tab | Cycle marked as completed | |
3.5 | Verify counters update in first tab | Counters update within 2 seconds | Real-time update |
4 | Verify Cycle Status Logic | ||
4.1 | Identify cycle with current date within cycle period | Cycle shows as "Active" | |
4.2 | Identify cycle with end date passed but incomplete | Cycle shows as "Delayed" | |
4.3 | Identify cycle with all readings complete | Cycle shows as "Completed" |
Verification Points
Dashboard Counter Verification
- [ ] Active Cycles counter shows correct count
- [ ] Completed Cycles counter shows correct count
- [ ] Delayed Cycles counter shows correct count
- [ ] Counters update in real-time
- [ ] Counter styling is consistent and readable
Real-time Update Verification
- [ ] WebSocket connection established
- [ ] Counters update without page refresh
- [ ] Updates occur within 2 seconds of status change
- [ ] Multiple users see consistent data
- [ ] No race conditions in counter updates
Status Logic Verification
- [ ] Active status correctly identified
- [ ] Completed status correctly identified
- [ ] Delayed status correctly identified
- [ ] Status transitions work properly
- [ ] Date calculations are accurate
Test Results
- Expected Result: Dashboard displays accurate counters with real-time updates
- Pass Criteria: All counters accurate, real-time updates functional
- Fail Criteria: Incorrect counts, failed real-time updates, status logic errors
Acceptance Criteria Coverage: 100%
- ✓ AC_008: Dashboard counters display accurate counts
- ✓ AC_009: Real-time updates without page refresh
- ✓ AC_010: Status logic correctly applied
- ✓ AC_011: Multiple user consistency maintained
Test Case 3: Read Cycle Scheduling - All Frequencies
Test Case Metadata
- Test Case ID:
RC_SCHEDULE_001MX02US02_TC_003 - Test Case Name: Test All Scheduling Frequency Options
- Created By: QA Team
- Created Date: 2025-06-23
- Last Updated: 2025-06-23
- Version: 1.0
Classification
- Test Type: Functional, UI, API, Integration
- Test Level: System
- Priority: High
- Severity: Critical
- Test Category: Comprehensive Testing
Enhanced Tags
- happy-path: ✓
- MX Service: ✓
- Database: ✓
- Cross-service: ✓
- scheduling: ✓
- automation: ✓
- Code_Module_Mapped: MX
- Browser_Compatibility: Chrome, Firefox, Safari, Edge
- Device_Type: Desktop, Tablet
- User_Role: Meter_Reading_Supervisor
Business Context
- Business Function: Automated Read Cycle Scheduling
- Business Impact: High - Enables automated operations
- User Story: Schedule read cycles with various frequencies
- Business Rule Reference: BR_009, BR_010, BR_011
Quality Metrics
- Expected Execution Time: 15-20 minutes
- Complexity Score: High
- Risk Level: High
- Automation Feasibility: Medium
Coverage Tracking
- Requirements Coverage: REQ_009, REQ_010, REQ_011, REQ_012
- User Story Coverage: US_003
- Business Rules Coverage: BR_009, BR_010, BR_011
- Acceptance Criteria Coverage: AC_012, AC_013, AC_014, AC_015, AC_016, AC_017
Stakeholder Reporting
- Primary Stakeholder: Meter Reading Supervisor
- Secondary Stakeholders: Operations Manager, System Administrator
- Reporting Level: Executive Dashboard
Requirements Traceability
- Epic: Meter Reading Management
- Feature: Automated Scheduling
- User Story: Schedule read cycles with different frequencies
- Acceptance Criteria: All frequency options work correctly
Test Environment
- Environment: QA/Staging with scheduler service
- Database: PostgreSQL 13.x with job scheduler
- Scheduler Service: Node-cron or equivalent
- Application Server: Node.js 18.x
- Web Server: Nginx 1.20
- Timezone: UTC (test with timezone conversions)
Prerequisites
- Read cycle exists and is available for scheduling
- Scheduler service is running and functional
- User has scheduling permissions
- Calendar component is functional
- Timezone configuration is correct
- Job queue system is operational
Test Procedure
Step | Action | Expected Result | Notes |
---|---|---|---|
1 | Access Scheduling Interface | ||
1.1 | Navigate to Read Cycles list | Read Cycles list displays | |
1.2 | Locate test read cycle "Test Scheduling Cycle" | Cycle found in list | |
1.3 | Click "Schedule" button in Actions column | "Schedule Read Cycle" modal opens | |
1.4 | Verify all required fields are displayed | Frequency, Date/Time, Schedule End Date fields visible | |
2 | Test "Once" Frequency | ||
2.1 | Select "Once" from Frequency dropdown | Only "Date" field appears | |
2.2 | Select date: "April 17th, 2025" | Date selected successfully | |
2.3 | Select time: "09:00" | Time selected successfully | |
2.4 | Set Schedule End Date: "April 17th, 2026" | End date set | |
2.5 | Verify "Next 5 Occurrences" shows single date | Single occurrence displayed | |
2.6 | Click "Schedule" and verify success | Schedule created successfully | |
3 | Test "Hourly" Frequency | ||
3.1 | Edit same cycle, select "Hourly" | Only "Time" field appears | |
3.2 | Select time: "09:00" | Time selected | |
3.3 | Set Schedule End Date: future date | End date set | |
3.4 | Verify "Next 5 Occurrences" shows hourly times | Hourly pattern displayed | |
3.5 | Save and verify hourly schedule created | Schedule saved successfully | |
4 | Test "Daily" Frequency | ||
4.1 | Edit cycle, select "Daily" | Only "Time" field appears | |
4.2 | Select time: "06:00" | Time selected | |
4.3 | Set Schedule End Date: future date | End date set | |
4.4 | Verify "Next 5 Occurrences" shows daily times | Daily pattern displayed | |
4.5 | Save and verify daily schedule created | Schedule saved successfully | |
5 | Test "Weekly" Frequency | ||
5.1 | Edit cycle, select "Weekly" | "Day of the week" dropdown appears | |
5.2 | Select day: "Monday" | Monday selected | |
5.3 | Set Schedule End Date: future date | End date set | |
5.4 | Verify "Next 5 Occurrences" shows weekly dates | Weekly pattern displayed | |
5.5 | Save and verify weekly schedule created | Schedule saved successfully | |
6 | Test "Bi-Weekly" Frequency | ||
6.1 | Edit cycle, select "Bi-Weekly" | "Day of the week" multi-select appears | |
6.2 | Select two days: "Monday" and "Thursday" | Both days selected | |
6.3 | Set Schedule End Date: future date | End date set | |
6.4 | Verify "Next 5 Occurrences" shows bi-weekly pattern | Bi-weekly pattern displayed | |
6.5 | Save and verify bi-weekly schedule created | Schedule saved successfully | |
7 | Test "Monthly" Frequency | ||
7.1 | Edit cycle, select "Monthly" | "Date" single selection appears | |
7.2 | Select date: "15th" | 15th selected | |
7.3 | Set Schedule End Date: future date | End date set | |
7.4 | Verify "Next 5 Occurrences" shows monthly dates | Monthly pattern displayed | |
7.5 | Save and verify monthly schedule created | Schedule saved successfully | |
8 | Test "Quarterly" Frequency | ||
8.1 | Edit cycle, select "Quarterly" | "Month" and "Day of Month" fields appear | |
8.2 | Select month: "March" and day: "15" | March 15th selected | |
8.3 | Set Schedule End Date: future date | End date set | |
8.4 | Verify "Next 5 Occurrences" shows quarterly dates | Quarterly pattern displayed | |
8.5 | Save and verify quarterly schedule created | Schedule saved successfully | |
9 | Test "Yearly" Frequency | ||
9.1 | Edit cycle, select "Yearly" | "Month" and "Day of Month" fields appear | |
9.2 | Select month: "January" and day: "1" | January 1st selected | |
9.3 | Set Schedule End Date: future date | End date set | |
9.4 | Verify "Next 5 Occurrences" shows yearly dates | Yearly pattern displayed | |
9.5 | Save and verify yearly schedule created | Schedule saved successfully |
Verification Points
UI Verification
- [ ] All frequency options available in dropdown
- [ ] Correct fields appear for each frequency
- [ ] Date/time pickers function properly
- [ ] "Next 5 Occurrences" calculates correctly
- [ ] Schedule End Date validation works
- [ ] Success/error messages display appropriately
Scheduling Logic Verification
- [ ] Once: Single execution scheduled
- [ ] Hourly: Executes every hour
- [ ] Daily: Executes daily at specified time
- [ ] Weekly: Executes on specified day
- [ ] Bi-Weekly: Executes on two specified days
- [ ] Monthly: Executes on specified date
- [ ] Quarterly: Executes quarterly on specified month/day
- [ ] Yearly: Executes annually on specified month/day
Database Verification
- [ ] Schedule records created correctly
- [ ] Job queue entries created
- [ ] Next run date calculated properly
- [ ] Schedule end date enforced
- [ ] Timezone handling correct
Integration Verification
- [ ] Scheduler service receives jobs
- [ ] Job execution triggers cycle creation
- [ ] Failed jobs are retried appropriately
- [ ] Schedule conflicts are detected
- [ ] Audit trail captures scheduling events
Test Results
- Expected Result: All frequency options work correctly with proper scheduling
- Pass Criteria: All frequencies schedule properly, calculations accurate
- Fail Criteria: Any frequency fails, incorrect calculations, scheduling errors
Acceptance Criteria Coverage: 100%
- ✓ AC_012: All frequency options available and functional
- ✓ AC_013: Correct fields appear for each frequency
- ✓ AC_014: Schedule calculations are accurate
- ✓ AC_015: Job scheduling integrates properly
- ✓ AC_016: Schedule end date validation works
- ✓ AC_017: Timezone handling correct
Test Case 4: Route Selection with Real-time Updates
Test Case Metadata
- Test Case ID:
RC_ROUTE_001MX02US02_TC_004 - Test Case Name: Route Selection with Real-time Meter Dashboard Updates
- Created By: QA Team
- Created Date: 2025-06-23
- Last Updated: 2025-06-23
- Version: 1.0
Classification
- Test Type: Functional, UI, Performance
- Test Level: Integration
- Priority: High
- Severity: Critical
- Test Category: Real-time Testing
Enhanced Tags
- happy-path: ✓
- MX Service: ✓
- Database: ✓
- real-time-updates: ✓
- performance: ✓
- Code_Module_Mapped: MX
- Browser_Compatibility: Chrome, Firefox, Safari, Edge
- Device_Type: Desktop, Tablet
- User_Role: Meter_Reading_Supervisor
Business Context
- Business Function: Route Selection and Planning
- Business Impact: High - Core planning functionality
- User Story: Select routes with real-time visibility of meter metrics
- Business Rule Reference: BR_004, BR_005, BR_006
Quality Metrics
- Expected Execution Time: 8-10 minutes
- Complexity Score: Medium
- Risk Level: Medium
- Automation Feasibility: High
Coverage Tracking
- Requirements Coverage: REQ_004, REQ_005, REQ_006
- User Story Coverage: US_001
- Business Rules Coverage: BR_004, BR_005, BR_006
- Acceptance Criteria Coverage: AC_003, AC_005, AC_006, AC_018, AC_019, AC_020
Stakeholder Reporting
- Primary Stakeholder: Meter Reading Supervisor
- Secondary Stakeholders: Operations Manager
- Reporting Level: Operational Dashboard
Requirements Traceability
- Epic: Meter Reading Management
- Feature: Route Selection
- User Story: Select routes with real-time meter condition visibility
- Acceptance Criteria: Route selection updates meter counts in real-time
Test Environment
- Environment: QA/Staging
- Database: PostgreSQL 13.x with optimized queries
- Application Server: Node.js 18.x
- Web Server: Nginx 1.20
- Performance Target: Updates within 500ms
- Browser: Chrome 115+ (for performance testing)
Prerequisites
- Multiple routes exist with varying meter counts and conditions
- Routes contain meters with different categories and conditions
- Test data includes representative meter distribution
- Performance monitoring tools are available
- Database has indexed meter-route relationships
Test Procedure
Step | Action | Expected Result | Notes |
---|---|---|---|
1 | Access Route Selection | ||
1.1 | Navigate to Create Read Cycle form | Form opens successfully | |
1.2 | Fill basic information fields | All required fields completed | |
1.3 | Scroll to "Routes Selection" section | Route selection table displays | |
1.4 | Verify table columns | Route Name, Read Type (with icons), Meters, Premises, Checkbox | |
2 | Initial State Verification | ||
2.1 | Verify "Selected Routes (0)" counter | Counter shows zero | |
2.2 | Verify Meter Dashboard system-wide totals | System-wide Meters: 850 total, Assigned: 795, Unassigned: 55 | |
2.3 | Verify "Meters in This Cycle" | Shows 0 total (0 active, 0 inactive) | |
2.4 | Verify condition and category sections | All show zeros initially | |
3 | Single Route Selection | ||
3.1 | Select first route: "Downtown Commercial Route A" | Route selected with visual confirmation | Manual type, 32 meters, 42 premises |
3.2 | Verify immediate updates (within 500ms) | Selected Routes counter: (1) | |
3.3 | Verify Meters in This Cycle updates | 32 total meters displayed | |
3.4 | Verify Meter Conditions update | Route's meter breakdown displayed | |
3.5 | Verify Meter Categories update | Route's category breakdown displayed | |
3.6 | Verify Consumers section updates | Consumer counts updated | |
4 | Multiple Route Selection | ||
4.1 | Select second route: "North Residential Area Route 1" | Route selected successfully | Photo type, 68 meters, 185 premises |
4.2 | Verify cumulative updates | Selected Routes counter: (2) | |
4.3 | Verify Meters in This Cycle | 100 total (32+68) | |
4.4 | Verify Conditions aggregate both routes | Combined condition breakdown | |
4.5 | Verify Categories aggregate both routes | Combined category breakdown | |
4.6 | Verify Consumers aggregate both routes | Combined consumer counts | |
5 | Select All Functionality | ||
5.1 | Click "Select All" button | All routes get selected | |
5.2 | Verify dashboard updates with total aggregations | All routes aggregated in dashboard | |
5.3 | Click "Clear All" button | All selections cleared | |
5.4 | Verify dashboard resets | Dashboard returns to zero state | |
6 | Performance Testing | ||
6.1 | Select and deselect routes rapidly | No UI lag or freezing | |
6.2 | Measure update response times | Updates < 500ms | |
6.3 | Test with maximum number of routes (20+) | Performance remains acceptable | |
7 | Search and Filter Testing | ||
7.1 | Use search bar to filter routes | Filtered routes display correctly | |
7.2 | Verify filtered routes update dashboard correctly | Dashboard calculations remain accurate | |
7.3 | Select routes from filtered results | Selection works with filtered data |
Verification Points
Real-time Update Verification
- [ ] Updates occur within 500ms of selection
- [ ] No page refresh required
- [ ] Multiple rapid selections handled properly
- [ ] UI remains responsive during updates
- [ ] Counter updates are accurate
Calculation Verification
- [ ] Meter counts aggregate correctly
- [ ] Condition breakdowns sum properly
- [ ] Category distributions are accurate
- [ ] Consumer counts match route totals
- [ ] Percentages calculate correctly
UI Behavior Verification
- [ ] Selected Routes counter shows correct count
- [ ] Route selection persists during form navigation
- [ ] Select All/Clear All functions work
- [ ] Search filtering works with selections
- [ ] Visual indicators show selected state
Performance Verification
- [ ] Update response time < 500ms
- [ ] No memory leaks during rapid selection
- [ ] UI remains stable with large datasets
- [ ] Browser doesn't freeze or crash
- [ ] Network requests are optimized
Test Results
- Expected Result: Route selection updates dashboard in real-time with accurate calculations
- Pass Criteria: All updates < 500ms, calculations accurate, UI responsive
- Fail Criteria: Slow updates, incorrect calculations, UI issues
Acceptance Criteria Coverage: 100%
- ✓ AC_003: Route selection updates meter counts real-time
- ✓ AC_005: Displays meter condition metrics accurately
- ✓ AC_006: Shows meter category distribution correctly
- ✓ AC_018: Performance requirements met
- ✓ AC_019: Search and filter integration works
- ✓ AC_020: Bulk selection functions work
Test Case 5: Audit Trail Comprehensive Testing
Test Case Metadata
- Test Case ID:
RC_AUDIT_001MX02US02_TC_005 - Test Case Name: Comprehensive Audit Trail Tracking and Display
- Created By: QA Team
- Created Date: 2025-06-23
- Last Updated: 2025-06-23
- Version: 1.0
Classification
- Test Type: Functional, Security, Compliance
- Test Level: Integration
- Priority: High
- Severity: Critical
- Test Category: Audit and Compliance Testing
Enhanced Tags
- happy-path: ✓
- MX Service: ✓
- Database: ✓
- audit-trail: ✓
- compliance: ✓
- security: ✓
- Code_Module_Mapped: MX
- Browser_Compatibility: Chrome, Firefox, Safari, Edge
- Device_Type: Desktop, Tablet
- User_Role: Meter_Reading_Supervisor, Admin
Business Context
- Business Function: Audit Trail and Compliance Tracking
- Business Impact: Critical - Required for regulatory compliance
- User Story: Track all actions for audit and compliance purposes
- Business Rule Reference: BR_012, BR_013, BR_014
Quality Metrics
- Expected Execution Time: 12-15 minutes
- Complexity Score: High
- Risk Level: Critical
- Automation Feasibility: High
Coverage Tracking
- Requirements Coverage: REQ_013, REQ_014, REQ_015
- User Story Coverage: US_004
- Business Rules Coverage: BR_012, BR_013, BR_014
- Acceptance Criteria Coverage: AC_021, AC_022, AC_023, AC_024, AC_025, AC_026
Stakeholder Reporting
- Primary Stakeholder: Compliance Officer, Audit Team
- Secondary Stakeholders: Meter Reading Supervisor, IT Security
- Reporting Level: Executive and Compliance Reporting
Requirements Traceability
- Epic: Compliance and Audit
- Feature: Audit Trail Management
- User Story: Maintain comprehensive audit trail of all actions
- Acceptance Criteria: All actions logged with complete details
Test Environment
- Environment: QA/Staging
- Database: PostgreSQL 13.x with audit triggers
- Application Server: Node.js 18.x
- Audit Service: Dedicated audit logging service
- Time Synchronization: NTP synchronized servers
- Timezone: UTC with local display
Prerequisites
- Audit logging service is active and functional
- Database audit triggers are properly configured
- User permissions for audit trail access are set
- Test users with different roles are available
- Time synchronization is working correctly
- Sample audit data exists for testing
Test Procedure
Step | Action | Expected Result | Notes |
---|---|---|---|
1 | Access Audit Trail | ||
1.1 | Navigate to Read Cycles list | Read Cycles list displays | |
1.2 | Select existing read cycle "Downtown Commercial Q2" | Cycle selected | |
1.3 | Click on cycle name to open detailed view | Detailed view opens | |
1.4 | Click "Audit Trail" tab | Audit trail table displays | |
1.5 | Verify table columns | Timestamp (D/M/YYYY, hh:mm:ss am/pm), User, Action, Details, Status | |
2 | Verify Existing Audit Entries | ||
2.1 | Verify creation entry exists | Action: "Created", Details: "Read cycle created with X meters and Y routes" | |
2.2 | Verify user information | User: Original creator | |
2.3 | Verify status | Status: "Success" | |
2.4 | Verify timestamp | Timestamp: Creation time | |
2.5 | Verify chronological ordering | Latest entries first | |
3 | Test Create Action Logging | ||
3.1 | Create new read cycle "Audit Test Cycle" | Cycle created successfully | |
3.2 | Navigate to its audit trail | Audit trail accessible | |
3.3 | Verify creation entry logged | Correct timestamp, current user ID, "Created" action | |
3.4 | Verify details include counts | Details include meter and route counts | |
3.5 | Verify success status | Status: "Success" | |
4 | Test Modify Action Logging | ||
4.1 | Edit the "Audit Test Cycle" | Edit form opens | |
4.2 | Change cycle duration from 30 to 45 days | Change saved successfully | |
4.3 | Check audit trail for modification entry | Action: "Modified" | |
4.4 | Verify change details | Details: "Changed 'Cycle Duration' from '30' to '45'" | |
4.5 | Verify user and status | Current user logged, Status: "Success" | |
5 | Test Route Modification Logging | ||
5.1 | Edit cycle and add additional route | Route added successfully | |
5.2 | Verify audit entry logs route addition | Action: "Route Added", Details: "Added route 'Route Name' with X meters" | |
5.3 | Remove a route | Route removed successfully | |
5.4 | Verify route removal logging | Action: "Route Removed" logged | |
6 | Test Scheduling Action Logging | ||
6.1 | Schedule the cycle with monthly frequency | Schedule created successfully | |
6.2 | Verify audit entry | Action: "Scheduled", Details: "Set frequency to 'Monthly' with next run date" | |
6.3 | Pause the cycle | Cycle paused successfully | |
6.4 | Verify pause action logged | Action: "Paused" logged | |
7 | Test System Action Logging | ||
7.1 | Trigger automatic status change | Status changed automatically | |
7.2 | Verify system actions logged | User: "System" or "Auto", Action: "Status Changed" | |
7.3 | Verify status transition details | Details include status transition information | |
8 | Test Error Condition Logging | ||
8.1 | Attempt invalid operation (delete active cycle) | Operation blocked with error | |
8.2 | Verify error logged | Action: "Delete Attempted", Status: "Error" or "Failed" | |
8.3 | Verify error details | Details include error reason | |
9 | Test Immutability | ||
9.1 | Attempt to modify audit records | Audit records cannot be changed | |
9.2 | Test direct database modification attempts | Database constraints prevent changes | |
9.3 | Verify audit log integrity | Audit log remains intact | |
10 | Test Auto-refresh | ||
10.1 | Keep audit trail open | Audit trail remains open | |
10.2 | Make changes in another browser tab | Changes made successfully | |
10.3 | Verify audit trail auto-refreshes | Trail updates automatically | |
10.4 | Check update frequency and accuracy | Updates are timely and accurate |
Verification Points
Audit Entry Completeness
- [ ] All actions generate audit entries
- [ ] Timestamp format correct (D/M/YYYY, hh:mm:ss am/pm)
- [ ] User identification accurate
- [ ] Action types properly categorized
- [ ] Details provide sufficient context
- [ ] Status correctly reflects outcome
Data Integrity Verification
- [ ] Audit records are immutable
- [ ] No gaps in audit trail
- [ ] Chronological ordering maintained
- [ ] Database triggers capture all changes
- [ ] Cross-reference with application logs
Performance Verification
- [ ] Audit trail loads within acceptable time
- [ ] Real-time updates work properly
- [ ] Large audit trails paginate correctly
- [ ] Search and filter functions work
- [ ] Export functionality operates correctly
Security Verification
Test Results
- Expected Result: Complete audit trail with all actions logged accurately
- Pass Criteria: All actions logged, data integrity maintained, security enforced
- Fail Criteria: Missing entries, data corruption, security vulnerabilities
Acceptance Criteria Coverage: 100%
- ✓ AC_021: All create/modify/delete actions logged
- ✓ AC_022: Audit entries include required fields
- ✓ AC_023: Chronological ordering maintained
- ✓ AC_024: Audit records are immutable
- ✓ AC_025: Real-time updates functional
- ✓ AC_026: Security and access controls enforced
Test Case 6: Read Cycle Edit Restrictions and Status Management
Test Case Metadata
- Test Case ID:
RC_EDIT_001MX02US02_TC_006 - Test Case Name: Edit Restrictions Based on Cycle Status
- Created By: QA Team
- Created Date: 2025-06-23
- Last Updated: 2025-06-23
- Version: 1.0
Classification
- Test Type: Functional, Business Logic, Security
- Test Level: Integration
- Priority: High
- Severity: Critical
- Test Category: Negative Testing, Business Rules
Enhanced Tags
- happy-path: ✓
- MX Service: ✓
- Database: ✓
- business-logic: ✓
- status-management: ✓
- edit-restrictions: ✓
- Code_Module_Mapped: MX
- Browser_Compatibility: Chrome, Firefox, Safari, Edge
- Device_Type: Desktop, Tablet
- User_Role: Meter_Reading_Supervisor
Business Context
- Business Function: Read Cycle Lifecycle Management
- Business Impact: High - Prevents data corruption during active cycles
- User Story: Prevent editing of active read cycles to maintain data integrity
- Business Rule Reference: BR_015, BR_016, BR_017
Quality Metrics
- Expected Execution Time: 10-12 minutes
- Complexity Score: High
- Risk Level: High
- Automation Feasibility: High
Coverage Tracking
- Requirements Coverage: REQ_016, REQ_017, REQ_018
- User Story Coverage: US_005
- Business Rules Coverage: BR_015, BR_016, BR_017
- Acceptance Criteria Coverage: AC_027, AC_028, AC_029, AC_030, AC_031, AC_032
Stakeholder Reporting
- Primary Stakeholder: Meter Reading Supervisor
- Secondary Stakeholders: Data Integrity Officer, Operations Manager
- Reporting Level: Operational and Risk Management
Requirements Traceability
- Epic: Data Integrity and Security
- Feature: Edit Restrictions and Status Management
- User Story: Prevent editing of active cycles to maintain data integrity
- Acceptance Criteria: Edit restrictions enforced based on cycle status
Test Environment
- Environment: QA/Staging
- Database: PostgreSQL 13.x with business rule triggers
- Application Server: Node.js 18.x
- Status Management Service: Custom business logic service
- Data Validation: Server-side validation rules
Prerequisites
- Read cycles exist in different statuses (Scheduled, Active, Completed, Delayed)
- User has appropriate edit permissions
- Status transition logic is properly configured
- Business rule validation is active
- Test data includes cycles with and without readings
Test Procedure
Step | Action | Expected Result | Notes |
---|---|---|---|
1 | Test Scheduled Cycle Editing | ||
1.1 | Navigate to Read Cycles list | Read Cycles list displays | |
1.2 | Locate cycle with status "Scheduled" | Scheduled cycle found | |
1.3 | Click "Edit" button in Actions column | Edit form opens successfully | |
1.4 | Verify editable fields | Area, Sub Area, Cycle Duration, Route selection editable | |
1.5 | Verify disabled fields | Read Cycle Name disabled | |
1.6 | Make changes and save | Changes saved successfully | |
2 | Test Active Cycle Edit Restriction | ||
2.1 | Locate cycle with status "Active" | Active cycle found | |
2.2 | Verify "Edit" button state | Button is disabled/greyed out | |
2.3 | Attempt to click edit button | Error message displays or no action | |
2.4 | Attempt direct URL access to edit form | Access denied with appropriate message | |
3 | Test In-Progress Cycle Restrictions | ||
3.1 | Locate cycle where readings have begun | In-progress cycle found | |
3.2 | Verify edit restrictions apply | Edit access denied | |
3.3 | Test API-level edit attempts | Backend validates and rejects changes | |
3.4 | Check audit trail | Access attempts logged | |
4 | Test Completed Cycle Restrictions | ||
4.1 | Locate cycle with status "Completed" | Completed cycle found | |
4.2 | Verify "Edit" button behavior | Edit restricted appropriately | |
4.3 | Test critical field protection | Critical fields remain protected | |
4.4 | Test status change prevention | Status changes prevented | |
5 | Test Status Transition Logic | ||
5.1 | Create new cycle (Status: Scheduled) | Cycle created with Scheduled status | |
5.2 | Verify edit is allowed | Edit access granted | |
5.3 | Trigger status change to Active | Status changed to Active | |
5.4 | Verify edit becomes restricted immediately | Edit access denied | |
5.5 | Complete the cycle | Cycle status changed to Completed | |
5.6 | Verify edit remains restricted | Edit access still denied | |
6 | Test Field-Level Restrictions | ||
6.1 | Access editable cycle | Editable cycle opened | |
6.2 | Verify Read Cycle Name field disabled | Field is disabled | |
6.3 | Verify Utility Service field disabled | Field is disabled | |
6.4 | Verify Area field editable | Field is editable | |
6.5 | Verify Sub Area field editable | Field is editable | |
6.6 | Verify Cycle Duration field editable | Field is editable | |
6.7 | Verify Routes field editable | Field is editable | |
7 | Test Pause Button Status | ||
7.1 | Locate active cycle | Active cycle found | |
7.2 | Verify "Pause" button disabled | Button disabled during active status | |
7.3 | Wait for cycle completion | Cycle completed | |
7.4 | Verify "Pause" button enabled | Button becomes enabled | |
7.5 | Test pause functionality | Pause function works correctly | |
8 | Test API-Level Validation | ||
8.1 | Use API testing tool | API tool configured | |
8.2 | Attempt PUT/PATCH request on active cycle | Request sent | |
8.3 | Verify appropriate error code | API returns 403/422 error | |
8.4 | Verify descriptive error message | Error message is clear | |
8.5 | Confirm no data changes occur | Data remains unchanged | |
9 | Test Concurrent User Scenarios | ||
9.1 | User A opens edit form for scheduled cycle | Edit form opened | |
9.2 | User B changes cycle status to active | Status changed to active | |
9.3 | User A attempts to save changes | Save attempt made | |
9.4 | Verify appropriate handling | Concurrent changes handled properly |
Verification Points
Edit Button State Verification
Form Field Restrictions
- [ ] Read Cycle Name field always disabled in edit
- [ ] Utility Service field disabled in edit
- [ ] Area and Sub Area remain editable when allowed
- [ ] Cycle Duration editable when allowed
- [ ] Route selection editable when allowed
Status-Based Logic Verification
- [ ] Scheduled cycles allow editing
- [ ] Active cycles prevent editing
- [ ] In-progress cycles prevent editing
- [ ] Completed cycles prevent editing
- [ ] Status transitions update restrictions immediately
API Security Verification
- [ ] Backend validates edit permissions
- [ ] Appropriate HTTP status codes returned
- [ ] Error messages are descriptive
- [ ] No data corruption occurs
- [ ] Audit trail captures unauthorized attempts
Business Logic Verification
Test Results
- Expected Result: Edit restrictions properly enforced based on cycle status
- Pass Criteria: No unauthorized edits possible, status logic correct
- Fail Criteria: Unauthorized edits allowed, status logic failures
Acceptance Criteria Coverage: 100%
- ✓ AC_027: Edit button disabled for active cycles
- ✓ AC_028: Read Cycle Name always non-editable in edit mode
- ✓ AC_029: Status transitions update edit permissions
- ✓ AC_030: API-level validation enforced
- ✓ AC_031: Pause button state matches cycle status
- ✓ AC_032: Concurrent access handled properly
Test Case 7: Meter Dashboard and Analytics Accuracy
Test Case Metadata
- Test Case ID:
RC_ANALYTICS_001MX02US02_TC_007 - Test Case Name: Meter Dashboard Data Accuracy and Performance
- Created By: QA Team
- Created Date: 2025-06-23
- Last Updated: 2025-06-23
- Version: 1.0
Classification
- Test Type: Functional, Performance, Data Accuracy
- Test Level: Integration
- Priority: High
- Severity: High
- Test Category: Data Validation, Analytics
Enhanced Tags
- happy-path: ✓
- MX Service: ✓
- Database: ✓
- analytics: ✓
- performance: ✓
- data-accuracy: ✓
- Code_Module_Mapped: MX
- Browser_Compatibility: Chrome, Firefox, Safari, Edge
- Device_Type: Desktop, Tablet, Mobile
- User_Role: Meter_Reading_Supervisor
Business Context
- Business Function: Meter Analytics and Reporting
- Business Impact: High - Critical for operational decision making
- User Story: View accurate meter analytics and distribution data
- Business Rule Reference: BR_018, BR_019, BR_020
Quality Metrics
- Expected Execution Time: 8-10 minutes
- Complexity Score: Medium
- Risk Level: Medium
- Automation Feasibility: High
Coverage Tracking
- Requirements Coverage: REQ_019, REQ_020, REQ_021
- User Story Coverage: US_006
- Business Rules Coverage: BR_018, BR_019, BR_020
- Acceptance Criteria Coverage: AC_033, AC_034, AC_035, AC_036, AC_037, AC_038, AC_039
Stakeholder Reporting
- Primary Stakeholder: Meter Reading Supervisor
- Secondary Stakeholders: Operations Manager, Data Analyst
- Reporting Level: Operational Analytics
Requirements Traceability
- Epic: Analytics and Reporting
- Feature: Meter Dashboard Analytics
- User Story: View accurate meter condition and category analytics
- Acceptance Criteria: Dashboard shows accurate meter statistics
Test Environment
- Environment: QA/Staging
- Database: PostgreSQL 13.x with analytics views
- Application Server: Node.js 18.x
- Analytics Service: Custom calculation engine
- Performance Target: Dashboard load < 2 seconds
Prerequisites
- Representative test data with various meter conditions
- Meters distributed across different categories
- Route assignments properly configured
- Database views for analytics are optimized
- Test data includes edge cases (zero values, large numbers)
Test Procedure
Step | Action | Expected Result | Notes |
---|---|---|---|
1 | Access Meter Dashboard | ||
1.1 | Navigate to Read Cycles section | Read Cycles section opens | |
1.2 | Access Create Read Cycle form | Form opens successfully | |
1.3 | Navigate to detailed view of existing cycle | Detailed view displays | |
1.4 | Verify Meter Dashboard appears on right panel | Dashboard visible on right panel | |
1.5 | Note dashboard load time | Load time < 2 seconds | |
2 | Verify System-wide Meters Section | ||
2.1 | Check total meters count | Total: 850 meters | |
2.2 | Verify assigned meters count | Assigned: 795 meters | |
2.3 | Verify unassigned meters count | Unassigned: 55 meters | |
2.4 | Verify totals add up | Assigned + Unassigned = Total | 795 + 55 = 850 |
2.5 | Check progress bar proportions | Progress bar shows correct proportions | |
2.6 | Cross-reference with database query | Database query confirms counts | |
3 | Verify Meters in This Cycle Section | ||
3.1 | Select specific routes in route selection | Routes selected successfully | |
3.2 | Verify total count matches selected routes | Count matches route selection | |
3.3 | Check active/inactive breakdown | Breakdown is accurate | |
3.4 | Verify progress bar proportions | Progress bar reflects breakdown correctly | |
3.5 | Test with different route combinations | Calculations update correctly | |
3.6 | Verify real-time updates | Updates occur immediately | |
4 | Verify Meter Conditions Section | ||
4.1 | Check Normal condition count | Normal: 780 meters | |
4.2 | Check Faulty condition count | Faulty: 35 meters | |
4.3 | Check RCNT condition count | RCNT: 20 meters | |
4.4 | Check Others condition count | Others: 15 meters | |
4.5 | Verify all conditions sum to total | 780+35+20+15 = 850 | |
4.6 | Test with different route selections | Conditions update correctly | |
4.7 | Verify colors and labels | Appropriate visual representation | |
5 | Verify Meter Categories Section | ||
5.1 | Check Residential category | Residential: 520 meters | |
5.2 | Check Commercial category | Commercial: 180 meters | |
5.3 | Check Industrial category | Industrial: 95 meters | |
5.4 | Check Government category | Government: 40 meters | |
5.5 | Check Agricultural category | Agricultural: 15 meters | |
5.6 | Verify categories sum to total | 520+180+95+40+15 = 850 | |
5.7 | Test dynamic updates with route changes | Categories update correctly | |
5.8 | Verify category list matches configuration | Categories match system config | |
6 | Verify Consumers Section | ||
6.1 | Check total consumers count | Total: 215 consumers | |
6.2 | Verify active count and percentage | Active count and % displayed | |
6.3 | Verify inactive count and percentage | Inactive count and % displayed | |
6.4 | Verify disconnected count and percentage | Disconnected count and % displayed | |
6.5 | Verify paused count and percentage | Paused count and % displayed | |
6.6 | Confirm percentages sum to 100% | Total percentages = 100% | |
6.7 | Verify counts match route selections | Consumer counts align with routes | |
7 | Test Data Accuracy | ||
7.1 | Run database query for conditions | SELECT condition, COUNT(*) FROM meters GROUP BY condition | |
7.2 | Run database query for categories | SELECT category, COUNT(*) FROM meters GROUP BY category | |
7.3 | Run database query for consumer status | SELECT status, COUNT(*) FROM consumers GROUP BY status | |
7.4 | Compare query results with dashboard | Results match dashboard display | |
7.5 | Verify calculations are accurate | All calculations verified | |
7.6 | Test with edge cases | Empty routes, large datasets handled | |
8 | Test Performance | ||
8.1 | Measure dashboard load time with various data sizes | Load times within acceptable range | |
8.2 | Test with maximum number of routes selected | Performance remains acceptable | |
8.3 | Monitor browser performance and memory usage | No performance issues | |
8.4 | Verify no performance degradation with repeated use | Performance consistent | |
9 | Test Responsiveness | ||
9.1 | Test dashboard on different screen sizes | Responsive design works | |
9.2 | Verify mobile compatibility | Mobile display acceptable | |
9.3 | Test tablet landscape/portrait orientations | Both orientations work | |
9.4 | Verify readability at different zoom levels | Text remains readable |
Verification Points
Data Accuracy Verification
- [ ] All meter counts are accurate
- [ ] Percentages calculate correctly
- [ ] Totals and subtotals match
- [ ] Database queries confirm dashboard data
- [ ] Edge cases handled properly
Real-time Update Verification
- [ ] Dashboard updates when routes selected/deselected
- [ ] Updates occur within 500ms
- [ ] No stale data displayed
- [ ] Multiple rapid changes handled correctly
- [ ] Browser performance remains stable
Visual Presentation Verification
- [ ] Progress bars show correct proportions
- [ ] Colors are consistent and meaningful
- [ ] Text is readable and properly formatted
- [ ] Numbers formatted according to locale
- [ ] Responsive design works on all devices
Performance Verification
- [ ] Dashboard loads within 2 seconds
- [ ] No memory leaks detected
- [ ] Responsive under load
- [ ] Database queries optimized
- [ ] Caching works appropriately
Integration Verification
- [ ] Dashboard data matches route selections
- [ ] Cross-references with other system data
- [ ] API responses contain correct data
- [ ] Error handling for missing data
- [ ] Graceful degradation when services unavailable
Test Results
- Expected Result: Dashboard displays accurate meter analytics with good performance
- Pass Criteria: All calculations accurate, performance targets met
- Fail Criteria: Incorrect data, poor performance, visual issues
Acceptance Criteria Coverage: 100%
- ✓ AC_033: System-wide meter counts accurate
- ✓ AC_034: Cycle-specific meter counts accurate
- ✓ AC_035: Condition and category breakdowns correct
- ✓ AC_036: Consumer statistics accurate
- ✓ AC_037: Real-time updates functional
- ✓ AC_038: Performance targets met
- ✓ AC_039: Responsive design works
Test Case 8: Cross-Browser and Device Compatibility
Test Case Metadata
- Test Case ID:
RC_COMPAT_001MX02US02_TC_008 - Test Case Name: Cross-Browser and Device Compatibility Testing
- Created By: QA Team
- Created Date: 2025-06-23
- Last Updated: 2025-06-23
- Version: 1.0
Classification
- Test Type: Compatibility, UI, Functional
- Test Level: System
- Priority: Medium
- Severity: Medium
- Test Category: Compatibility Testing
Enhanced Tags
- happy-path: ✓
- MX Service: ✓
- compatibility: ✓
- cross-browser: ✓
- responsive: ✓
- mobile: ✓
- Code_Module_Mapped: MX
- Browser_Compatibility: Chrome, Firefox, Safari, Edge, Mobile Browsers
- Device_Type: Desktop, Tablet, Mobile
- User_Role: Meter_Reading_Supervisor
Business Context
- Business Function: Multi-platform Access
- Business Impact: Medium - Ensures accessibility across devices
- User Story: Access read cycle management from various devices and browsers
- Business Rule Reference: BR_021, BR_022
Quality Metrics
- Expected Execution Time: 20-25 minutes
- Complexity Score: Medium
- Risk Level: Low
- Automation Feasibility: Medium
Coverage Tracking
- Requirements Coverage: REQ_022, REQ_023
- User Story Coverage: US_007
- Business Rules Coverage: BR_021, BR_022
- Acceptance Criteria Coverage: AC_040, AC_041, AC_042, AC_043, AC_044, AC_045
Stakeholder Reporting
- Primary Stakeholder: End Users, IT Support
- Secondary Stakeholders: Meter Reading Supervisor
- Reporting Level: Technical Support
Requirements Traceability
- Epic: Platform Compatibility
- Feature: Multi-device Access
- User Story: Use system across different browsers and devices
- Acceptance Criteria: Consistent functionality across platforms
Test Environment
- Browsers: Chrome 115+, Firefox 115+, Safari 16+, Edge 115+
- Mobile Browsers: Chrome Mobile, Safari Mobile, Samsung Internet
- Operating Systems: Windows 10/11, macOS 12+, iOS 15+, Android 10+
- Devices: Desktop, Laptop, Tablet (iPad, Android), Smartphone
- Screen Resolutions: 1920x1080, 1366x768, 768x1024, 375x667
Prerequisites
- Access to multiple browsers and devices
- Stable internet connection on all devices
- Valid user credentials for all platforms
- Test data consistent across environments
- Browser developer tools for debugging
Test Procedure
Step | Action | Expected Result | Notes |
---|---|---|---|
1 | Chrome Desktop Testing | ||
1.1 | Open Chrome browser (version 115+) | Browser opens successfully | |
1.2 | Navigate to application URL | Application loads | |
1.3 | Login as Meter Reading Supervisor | Login successful | |
1.4 | Test complete read cycle creation workflow | Workflow completes successfully | Navigate→Create→Fill→Select→Create |
1.5 | Test read cycle viewing and editing | Viewing and editing work | |
1.6 | Test scheduling functionality | Scheduling works correctly | |
1.7 | Verify audit trail access | Audit trail accessible | |
2 | Firefox Desktop Testing | ||
2.1 | Repeat workflow in Firefox | Workflow completes successfully | |
2.2 | Check form field rendering | Fields render correctly | |
2.3 | Test date picker functionality | Date picker works | |
2.4 | Test modal dialog behavior | Modals function properly | |
2.5 | Test dashboard chart rendering | Charts render correctly | |
2.6 | Compare with Chrome behavior | Behavior is consistent | |
2.7 | Document any differences | Differences noted | |
3 | Safari Desktop Testing (macOS) | ||
3.1 | Repeat core workflow in Safari | Workflow works correctly | |
3.2 | Test date/time input handling | Date/time inputs work | |
3.3 | Test dropdown rendering | Dropdowns render correctly | |
3.4 | Test WebSocket connections | WebSocket connections stable | |
3.5 | Test local storage handling | Local storage works | |
3.6 | Verify all interactive elements | All elements functional | |
4 | Edge Desktop Testing | ||
4.1 | Repeat workflow in Microsoft Edge | Workflow completes | |
4.2 | Test Chromium-based Edge features | Features work correctly | |
4.3 | Verify Windows-specific integrations | Integrations functional | |
4.4 | Test file upload/download if applicable | File operations work | |
5 | Tablet Testing (iPad) | ||
5.1 | Open Safari on iPad | Application loads on iPad | |
5.2 | Test form field selection | Touch selection works | |
5.3 | Test dropdown interaction | Touch dropdowns work | |
5.4 | Test table scrolling | Scrolling smooth | |
5.5 | Test modal interactions | Touch modals work | |
5.6 | Test landscape orientation | Landscape view works | |
5.7 | Test portrait orientation | Portrait view works | |
5.8 | Test virtual keyboard interactions | Keyboard doesn't break layout | |
6 | Tablet Testing (Android) | ||
6.1 | Open Chrome on Android tablet | Application loads successfully | |
6.2 | Repeat touch interaction tests | Touch interactions work | |
6.3 | Test different screen densities | Various densities supported | |
6.4 | Verify Android-specific behaviors | Android behaviors work | |
6.5 | Test back button behavior | Back button functions correctly | |
7 | Mobile Phone Testing (iOS) | ||
7.1 | Open Safari on iPhone | Application loads on mobile | |
7.2 | Test navigation menu behavior | Mobile navigation works | |
7.3 | Test form field accessibility | Fields accessible on mobile | |
7.4 | Test table horizontal scrolling | Horizontal scrolling works | |
7.5 | Test dashboard readability | Dashboard readable on small screen | |
7.6 | Test touch gestures | Touch gestures responsive | |
7.7 | Verify text input and keyboard | Text input works with mobile keyboard | |
8 | Mobile Phone Testing (Android) | ||
8.1 | Open Chrome on Android phone | Application loads successfully | |
8.2 | Test mobile interface on various screen sizes | Interface adapts to different sizes | |
8.3 | Test different Android versions if possible | Compatibility across versions | |
8.4 | Verify performance on lower-end devices | Acceptable performance maintained | |
9 | Performance Comparison | ||
9.1 | Use browser developer tools on each platform | Tools accessible | |
9.2 | Measure page load times | Load times documented | |
9.3 | Monitor memory usage | Memory usage monitored | |
9.4 | Test with slow network conditions | Slow network handled gracefully | |
9.5 | Compare JavaScript performance | Performance compared across browsers | |
10 | Feature Parity Testing | ||
10.1 | Create comparison matrix of features across browsers | Matrix created | |
10.2 | Test complex interactions on each platform | Complex interactions work | |
10.3 | Verify data consistency across devices | Data remains consistent | |
10.4 | Test logout/session management | Session management works |
TC_007: Performance Testing - Concurrent Users and Load [HIGH]
Test Case Metadata
Test Case ID: MX02US02_TC_007
Title: Performance Testing with Multiple Concurrent Supervisors and System Load
Created By: Performance Testing Team
Created Date: January 28, 2025
Version: 1.0
Classification & Tagging
Module/Feature: System Performance & Scalability
Test Type: Performance Load Testing
Test Level: System Performance
Priority: P2-High
Execution Phase: Performance Testing
Automation Status: Automated (Load Testing Tools)
Tags: MOD-Performance, MOD-Scalability, P2-High, Phase-Performance,
Type-Performance-Load, Platform-Web, Report-Engineering, Report-Operations,
Customer-Enterprise, Risk-Medium, Business-High, Revenue-Impact-Medium,
Load-Testing, Scalability, Concurrent-Users
Performance Test Scenarios
Load Level | Concurrent Users | Test Duration | Key Metrics | Success Criteria |
---|---|---|---|---|
Light Load | 10 users | 15 minutes | Response time, CPU usage | < 1s API, < 3s page load |
Medium Load | 25 users | 30 minutes | Throughput, memory usage | 95% requests successful |
Peak Load | 50 users | 45 minutes | Error rate, stability | < 2% error rate |
Stress Test | 75 users | 30 minutes | Breaking point, recovery | Graceful degradation |
Detailed Performance Test Procedure
Step | Load Configuration | Test Actions | Performance Metrics | Acceptance Criteria |
---|---|---|---|---|
Baseline Performance | ||||
1 | Single user | Create read cycle | Response time | < 3s page load, < 1s API |
2 | Single user | Route selection | UI responsiveness | < 2s dashboard updates |
3 | Single user | Schedule cycle | End-to-end flow | < 5s total process |
Light Load Testing (10 Users) | ||||
4 | 10 concurrent users | Simultaneous cycle creation | Average response time | < 1.5s average |
5 | 10 concurrent users | Route selection operations | UI update performance | < 3s dashboard refresh |
6 | 10 concurrent users | Dashboard viewing | Page load consistency | < 4s page loads |
7 | Monitor system resources | CPU, memory, database | Resource utilization | < 70% CPU usage |
Medium Load Testing (25 Users) | ||||
8 | 25 concurrent users | Mixed operations | Throughput metrics | 95% success rate |
9 | 25 concurrent users | Real-time updates | Update latency | < 3s update time |
10 | 25 concurrent users | Database operations | Query performance | < 1s query response |
11 | Monitor integration APIs | CX/MX/ONB response times | Integration performance | < 1.5s API calls |
Peak Load Testing (50 Users) | ||||
12 | 50 concurrent users | Full system operations | System stability | No system crashes |
13 | 50 concurrent users | Data consistency checks | Data integrity | No data corruption |
14 | 50 concurrent users | Error handling | Error rate monitoring | < 2% error rate |
15 | Monitor system limits | Resource ceiling | Performance degradation | Graceful slowdown |
Stress Testing (75 Users) | ||||
16 | 75 concurrent users | Beyond normal capacity | Breaking point analysis | System behavior |
17 | Monitor recovery | System recovery time | Recovery metrics | < 2 minutes recovery |
Performance Metrics Collection
Metric Category | Specific Metrics | Measurement Method | Target Values | Alert Thresholds |
---|---|---|---|---|
Response Times | API response, Page load, Database query | Automated monitoring | < 1s, < 3s, < 500ms | > 150% of target |
Throughput | Requests/second, Transactions/minute | Load testing tools | 100 req/sec minimum | < 50 req/sec |
Resource Usage | CPU, Memory, Disk I/O | System monitoring | < 80% utilization | > 90% utilization |
Error Rates | HTTP errors, Application errors | Error tracking | < 1% error rate | > 2% error rate |
User Experience | UI responsiveness, Data accuracy | Real user monitoring | Smooth interactions | UI freezing |
Load Test Scenarios
Scenario | User Distribution | Actions Per User | Test Pattern | Duration |
---|---|---|---|---|
Normal Operations | 80% create cycles, 15% view, 5% schedule | 10 actions/hour | Constant load | 1 hour |
Peak Hours | 60% create, 25% view, 15% schedule | 20 actions/hour | Ramp up pattern | 45 minutes |
Batch Processing | 50% bulk operations | 5 large operations | Spike pattern | 30 minutes |
TC_008: Error Handling and System Recovery [HIGH]
Test Case Metadata
Test Case ID: MX02US02_TC_008
Title: Comprehensive Error Handling and System Recovery Validation
Created By: QA Reliability Team
Created Date: January 28, 2025
Version: 1.0
Classification & Tagging
Module/Feature: Error Handling & System Resilience
Test Type: Functional Reliability
Test Level: System Testing
Priority: P2-High
Execution Phase: Regression Testing
Automation Status: Manual Testing Required
Tags: MOD-ErrorHandling, MOD-SystemResilience, P2-High, Phase-Regression,
Type-Functional-Reliability, Platform-Web, Report-QA, Report-Operations,
Customer-All, Risk-Medium, Business-High, Revenue-Impact-Medium,
Error-Recovery, Fault-Tolerance, System-Stability
Error Scenario Test Matrix
Error Category | Test Scenario | Trigger Method | Expected Behavior | Recovery Validation |
---|---|---|---|---|
Network Errors | ||||
NET-001 | Connection timeout during cycle creation | Network simulation | Timeout message, data preserved | Retry successful |
NET-002 | Intermittent connectivity | Connection drops | Graceful degradation | Auto-reconnection |
NET-003 | Complete network failure | Disconnect simulation | Offline mode message | Manual retry |
Database Errors | ||||
DB-001 | Database connection failure | DB service stop | Connection error message | Service restart recovery |
DB-002 | Query timeout | Long-running query | Timeout handling | Query optimization |
DB-003 | Constraint violation | Duplicate data attempt | Validation error | Clear error message |
Integration Errors | ||||
INT-001 | CX system unavailable | Service mock down | Service unavailable message | Fallback data |
INT-002 | MX system timeout | API delay simulation | Timeout handling | Cached data usage |
INT-003 | ONB system partial failure | Limited service | Partial functionality | Degraded mode |
Business Logic Errors | ||||
BL-001 | Route conflict detection | Overlapping assignments | Conflict error message | Alternative suggestions |
BL-002 | Invalid date ranges | Past date selection | Date validation error | Date correction |
BL-003 | Capacity limits exceeded | Maximum routes selected | Limit warning | Capacity guidance |
Detailed Error Testing Procedure
Step | Error Simulation | System Response | User Experience | Recovery Steps |
---|---|---|---|---|
Network Error Handling | ||||
1 | Disconnect network during form submission | "Connection lost" message shown | Form data preserved | Reconnect and retry |
2 | Slow network simulation | Loading indicators shown | Progress feedback | Patience or cancel |
3 | Intermittent connection | Auto-retry mechanism | Seamless recovery | Background retry |
Database Error Scenarios | ||||
4 | Database unavailable | "Service temporarily unavailable" | Clear error message | Service restoration |
5 | Transaction rollback | Data consistency maintained | No partial updates | Clean rollback |
6 | Deadlock detection | Automatic retry | User notified if needed | Transaction retry |
Integration Failures | ||||
7 | CX service timeout | "Consumer data unavailable" | Functionality continues | Manual refresh |
8 | MX service error | "Meter data may be outdated" | Warning displayed | Cached data used |
9 | ONB service failure | "Limited area selection" | Reduced options | Basic functionality |
User Input Errors | ||||
10 | Invalid form data | Field-level validation errors | Inline error messages | Input correction |
11 | Required fields missing | Form submission blocked | Required field highlighting | Complete form |
12 | Business rule violations | Rule-specific error messages | Clear violation explanation | Rule compliance |
Error Message Validation
Error Type | Message Requirements | Message Example | User Action Guidance |
---|---|---|---|
Validation Errors | Clear, specific, actionable | "Cycle name already exists. Please choose a different name." | Specific correction |
System Errors | Non-technical, reassuring | "We're experiencing technical difficulties. Please try again." | Retry instruction |
Integration Errors | Service-specific, informative | "Meter data service is unavailable. Using cached data." | Impact explanation |
Network Errors | Connection-focused | "Connection lost. Your changes have been saved. Click retry to continue." | Recovery guidance |
System Recovery Testing
Recovery Scenario | Failure Duration | Recovery Method | Expected Behavior | Validation Points |
---|---|---|---|---|
Short Outage | < 30 seconds | Automatic retry | Seamless recovery | No data loss |
Medium Outage | 1-5 minutes | Manual retry | User-initiated recovery | State preservation |
Extended Outage | > 5 minutes | Service restart | Full system recovery | Complete functionality |
TC_009: Mobile Integration End-to-End Validation [CRITICAL]
Test Case Metadata
Test Case ID: MX02US02_TC_009
Title: Complete Mobile App Integration for Field Reader Operations
Created By: Mobile Integration Team
Created Date: January 28, 2025
Version: 1.0
Classification & Tagging
Module/Feature: Mobile Integration & Field Operations
Test Type: Integration End-to-End
Test Level: Cross-Platform Integration
Priority: P1-Critical
Execution Phase: Integration Testing
Automation Status: Manual Testing (Cross-Platform)
Tags: MOD-MobileIntegration, MOD-FieldOperations, P1-Critical, Phase-Integration,
Type-E2E-Cross-Platform, Platform-Web-Mobile, Report-Product, Report-Engineering,
Customer-All, Risk-High, Business-Critical, Revenue-Impact-High,
Mobile-Sync, Field-Operations, Real-Time-Data
Mobile Integration Test Flow
Step | Web Platform Action | Mobile App Response | Sync Validation | Timing Requirement |
---|---|---|---|---|
Cycle Creation to Mobile Sync | ||||
1 | Create read cycle in web | N/A | Baseline established | N/A |
2 | Schedule cycle for immediate execution | Cycle appears in mobile app | Data synchronization | < 2 minutes |
3 | Verify cycle details in mobile | All route and meter data accurate | Data consistency | Complete details |
4 | Check route assignments | Field readers see assigned routes | Assignment accuracy | Correct assignments |
Field Data Collection | ||||
5 | Mobile: Start route execution | Web shows route status "In Progress" | Status synchronization | Real-time update |
6 | Mobile: Submit meter reading | Web displays reading in real-time | Bidirectional sync | < 30 seconds |
7 | Mobile: Report access issue | Web shows issue in audit trail | Issue tracking | Immediate logging |
8 | Mobile: Add photo evidence | Web displays photo attachment | Media synchronization | < 1 minute |
Route Completion Flow | ||||
9 | Mobile: Complete entire route | Web updates route status to "Completed" | Completion tracking | Real-time status |
10 | Mobile: Submit route summary | Web shows completion metrics | Summary synchronization | Complete data |
11 | Verify completion audit trail | All mobile actions logged in web | Activity tracking | Complete history |
Offline Scenarios | ||||
12 | Mobile: Work offline | Readings queued locally | Offline capability | Local storage |
13 | Mobile: Reconnect to network | Queued data syncs to web | Offline sync | Automatic sync |
14 | Verify data integrity | No data loss during offline period | Data consistency | Complete accuracy |
Mobile Functionality Validation
Mobile Feature | Test Scenario | Expected Behavior | Web Integration | Performance Target |
---|---|---|---|---|
Cycle Synchronization | Scheduled cycle availability | Cycles appear in mobile list | Web scheduling reflected | < 2 minutes sync |
Route Navigation | GPS-enabled route following | Turn-by-turn directions | Route data accurate | Real-time navigation |
Meter Reading | Barcode scanning, manual entry | Multiple input methods | Immediate web sync | < 30 seconds |
Photo Capture | Image attachment to readings | High-quality photos | Web display capability | < 1 minute upload |
Issue Reporting | Access problems, meter faults | Structured issue logging | Web notification system | Immediate alert |
Data Validation | Reading range checks | Real-time validation | Web rule consistency | Instant feedback |
Cross-Platform Data Consistency
Data Element | Web Source | Mobile Display | Sync Direction | Validation Method |
---|---|---|---|---|
Cycle Information | Web creation | Mobile display | Web → Mobile | Field comparison |
Route Details | Web assignment | Mobile execution | Web → Mobile | Route accuracy |
Meter Readings | Mobile collection | Web reporting | Mobile → Web | Reading validation |
Issue Reports | Mobile submission | Web management | Mobile → Web | Issue tracking |
Completion Status | Mobile update | Web dashboard | Mobile → Web | Status accuracy |
Mobile Performance Testing
Performance Metric | Target Value | Test Method | Load Scenario | Acceptance Criteria |
---|---|---|---|---|
Sync Time | < 2 minutes | Timestamp comparison | 10 concurrent cycles | 95% within target |
Reading Upload | < 30 seconds | Upload timing | 50 readings/batch | Average < 30s |
Offline Capacity | 100 readings | Local storage test | Full day offline | No data loss |
Battery Impact | < 20% per hour | Battery monitoring | 8-hour shift | Acceptable drain |
TC_010: Data Export and Reporting Functionality [MEDIUM]
Test Case Metadata
Test Case ID: MX02US02_TC_010
Title: Comprehensive Data Export and Reporting Feature Validation
Created By: QA Reporting Team
Created Date: January 28, 2025
Version: 1.0
Classification & Tagging
Module/Feature: Data Export & Reporting
Test Type: Functional System
Test Level: System Testing
Priority: P3-Medium
Execution Phase: Acceptance Testing
Automation Status: Manual Testing Preferred
Tags: MOD-DataExport, MOD-Reporting, P3-Medium, Phase-Acceptance,
Type-Functional-System, Platform-Web, Report-Product, Report-Business,
Customer-Enterprise, Risk-Low, Business-Medium, Revenue-Impact-Low,
Data-Export, Business-Intelligence, Report-Generation
Export Functionality Test Matrix
Export Type | Data Source | File Format | Test Scenario | Validation Points |
---|---|---|---|---|
Meter Lists | Cycle meter inventory | CSV, Excel | Complete cycle data | All meters included |
Audit Trails | Activity logs | CSV, PDF | Historical activity | Chronological order |
Performance Reports | Cycle metrics | PDF, Excel | Completion statistics | Accurate calculations |
Route Details | Route assignments | Excel | Route breakdowns | Complete route data |
Custom Reports | Filtered data | Multiple formats | User-defined exports | Filter accuracy |
Detailed Export Testing Procedure
Step | Export Action | Expected File | Content Validation | Performance Check |
---|---|---|---|---|
Meter List Export | ||||
1 | Navigate to cycle Meters tab | N/A | Meter list displayed | < 3s load time |
2 | Click "Export" button | Export options menu | CSV/Excel options available | Immediate response |
3 | Select CSV format | File download initiated | CSV file downloaded | < 10s download |
4 | Open downloaded file | Spreadsheet application | All meters listed | Complete data |
5 | Verify data accuracy | Cross-reference with UI | Serial numbers, addresses match | 100% accuracy |
6 | Check column headers | Proper field names | Standard naming convention | Clear headers |
Audit Trail Export | ||||
7 | Navigate to Audit Trail tab | N/A | Audit entries displayed | < 3s load time |
8 | Apply date filter | Filtered results | Last 30 days entries | Filter applied |
9 | Export filtered data | PDF report generated | Filtered data only | Filter accuracy |
10 | Verify PDF formatting | Professional layout | Proper pagination | Report quality |
11 | Check export completeness | All visible entries included | No missing entries | Complete export |
Performance Report Export | ||||
12 | Generate cycle performance report | Report compilation | Completion metrics | Accurate statistics |
13 | Export to Excel format | Excel file download | Formatted spreadsheet | Professional layout |
14 | Verify calculations | Manual spot checks | Percentages accurate | Math validation |
15 | Check chart inclusion | Graphs embedded | Visual elements present | Complete report |
Large Dataset Testing
Dataset Size | Export Type | Performance Target | Memory Usage | Success Criteria |
---|---|---|---|---|
Small (< 100 records) | CSV export | < 5 seconds | Minimal | 100% success |
Medium (100-1000 records) | Excel export | < 30 seconds | Moderate | 99% success |
Large (1000+ records) | Chunked export | < 2 minutes | Controlled | 95% success |
Export Format Validation
File Format | Structure Check | Content Validation | Use Case | Quality Standard |
---|---|---|---|---|
CSV | Comma-separated, UTF-8 | Special character handling | Data analysis | RFC 4180 compliant |
Excel | Proper formatting, multiple sheets | Formula preservation | Business reporting | Professional layout |
Page layout, print-ready | Visual formatting | Official reports | Print quality |
API Test Cases (Critical Level ≥7)
API_001: Create Read Cycle Endpoint [CRITICAL - Level 9]
API Test Case Metadata
API Test Case ID: MX02US02_API_001
Endpoint: POST /api/v1/read-cycles
Title: Create Read Cycle via API with Comprehensive Validation
Priority: P1-Critical (Level 9)
Test Type: API Integration
Created Date: January 28, 2025
API Specification
HTTP Method: POST
Endpoint: /api/v1/read-cycles
Content-Type: application/json
Authentication: Bearer token required
Rate Limit: 100 requests/minute
Test Scenarios
Scenario | Request Payload | Expected Response | Status Code | Validation Points |
---|---|---|---|---|
Valid Creation | Complete payload | Success response | 201 Created | ID generated, audit logged |
Missing Required Fields | Incomplete payload | Validation errors | 400 Bad Request | Field-specific errors |
Duplicate Name | Existing cycle name | Conflict error | 409 Conflict | Uniqueness enforced |
Invalid Route IDs | Non-existent routes | Not found error | 404 Not Found | Route validation |
Exceeds Limits | Too many routes | Limit exceeded | 400 Bad Request | Business rule enforcement |
Detailed API Test Procedure
Step | API Request | Expected Response | Performance Check | Integration Validation |
---|---|---|---|---|
Valid Request Testing | ||||
1 | POST with complete valid payload | 201 Created with cycle ID | < 1 second response | Database record created |
2 | Verify response structure | JSON schema validation | Response well-formed | All required fields present |
3 | Check audit trail creation | Audit entry logged | Database query | Creation activity recorded |
4 | Verify integration triggers | CX/MX/ONB APIs called | Integration monitoring | External systems notified |
Validation Testing | ||||
5 | POST with missing name field | 400 Bad Request | < 500ms response | Error message specific |
6 | POST with duplicate name | 409 Conflict | < 500ms response | Uniqueness validation |
7 | POST with invalid duration | 400 Bad Request | < 500ms response | Range validation (1-90) |
8 | POST with non-existent routes | 404 Not Found | < 500ms response | Route existence check |
Performance Testing | ||||
9 | Concurrent API calls (10) | All succeed | < 1.5s average | No race conditions |
10 | Large payload (max routes) | Success or limit error | < 2s response | Scalability validation |
API Request Examples
Valid Request Payload:
{
"name": "API Test Cycle 001",
"area": "Downtown District",
"subArea": "Commercial Zone A",
"utilityService": "Water",
"cycleDuration": 30,
"routes": ["route-123", "route-456", "route-789"],
"createdBy": "supervisor.test@utility.com"
}
Expected Success Response:
{
"id": "cycle-uuid-12345",
"name": "API Test Cycle 001",
"status": "Created",
"totalRoutes": 3,
"totalMeters": 85,
"totalConsumers": 67,
"createdAt": "2025-01-28T14:30:00Z",
"createdBy": "supervisor.test@utility.com",
"readingPeriod": {
"startDate": "2025-04-01",
"endDate": "2025-04-30"
}
}
API Validation Points
✅ Response time < 1 second for valid requests
✅ Database transaction completed successfully
✅ Audit trail entry created with correct details
✅ Integration with CX/MX/ONB systems triggered
✅ Error responses include helpful messages
✅ Rate limiting enforced correctly
✅ Authentication required and validated
API_002: Real-time Meter Dashboard Endpoint [CRITICAL - Level 8]
API Test Case Metadata
API Test Case ID: MX02US02_API_002
Endpoint: GET /api/v1/read-cycles/{id}/meter-dashboard
Title: Real-time Meter Dashboard Data Retrieval
Priority: P1-Critical (Level 8)
Test Type: API Performance Integration
Created Date: January 28, 2025
API Specification
HTTP Method: GET
Endpoint: /api/v1/read-cycles/{id}/meter-dashboard
Response Type: application/json
Cache Headers: no-cache (real-time data)
Authentication: Bearer token required
Performance SLA: < 500ms response time
Real-time Data Test Scenarios
Test Scenario | Route Selection | Expected Data | Performance Target | Cache Validation |
---|---|---|---|---|
Empty Cycle | No routes selected | Zero meters, empty breakdown | < 300ms | No caching |
Single Route | One route selected | Route-specific metrics | < 400ms | Real-time calc |
Multiple Routes | 3-5 routes selected | Aggregated metrics | < 500ms | Dynamic updates |
Maximum Load | All available routes | Complete system data | < 800ms | Performance limit |
API Response Validation
Expected Response Structure:
{
"cycleId": "cycle-uuid-12345",
"systemWideMeters": {
"total": 850,
"assigned": 795,
"unassigned": 55
},
"metersInThisCycle": {
"total": 85,
"active": 82,
"inactive": 3
},
"meterConditions": {
"normal": 70,
"faulty": 10,
"rcnt": 3,
"others": 2
},
"meterCategories": {
"residential": 45,
"commercial": 25,
"industrial": 10,
"government": 3,
"agricultural": 2
},
"consumers": {
"total": 67,
"active": 64,
"inactive": 2,
"disconnected": 1,
"paused": 0
},
"lastUpdated": "2025-01-28T14:35:22Z"
}
Performance Test Matrix
Load Scenario | Concurrent Requests | Expected Response Time | Success Rate | Error Handling |
---|---|---|---|---|
Normal Load | 5 concurrent | < 400ms average | 100% | No errors |
Peak Load | 15 concurrent | < 600ms average | 98% | Graceful degradation |
Stress Load | 25 concurrent | < 1s average | 95% | Rate limiting |
Test Suite Organization & Execution Strategy
Test Suite Categories
Smoke Test Suite (Daily Execution - Critical Path)
Execution Frequency: Daily (after deployments)
Total Execution Time: ~25 minutes
Automation Level: 85% automated
Success Criteria: 100% pass rate required
Included Test Cases:
✅ TC_001: Create Basic Read Cycle (8 min)
✅ TC_004: Read Cycle Scheduling (6 min)
✅ TC_006: System Integration Validation (8 min)
✅ API_001: Create Read Cycle API (3 min)
Purpose: Verify core system functionality after each deployment
Trigger: Automated via CI/CD pipeline
Notification: Slack alerts for failures
Regression Test Suite (Pre-Release Validation)
Execution Frequency: Before each release
Total Execution Time: ~3 hours
Automation Level: 70% automated
Success Criteria: 95% pass rate required
Included Test Cases:
✅ TC_001: Create Basic Read Cycle
✅ TC_002: Route Selection Real-time Updates
✅ TC_003: Business Rule Validation
✅ TC_004: Read Cycle Scheduling
✅ TC_005: Audit Trail Functionality
✅ TC_006: System Integration
✅ TC_007: Performance Testing
✅ TC_008: Error Handling
✅ API_001: Create Read Cycle API
✅ API_002: Meter Dashboard API
Purpose: Comprehensive feature validation before production release
Trigger: Manual execution by QA team
Environment: Staging environment
Full Test Suite (Comprehensive Validation)
Execution Frequency: Weekly + Major releases
Total Execution Time: ~5 hours
Automation Level: 60% automated
Success Criteria: 90% pass rate required
Included Test Cases: All TC_001 through TC_010 + API tests
Additional Coverage:
- Cross-browser testing (Chrome, Firefox, Safari, Edge)
- Mobile integration end-to-end
- Performance benchmarking
- Security validation
- Data export functionality
Purpose: Complete system validation and quality assurance
Environment: Production-like staging
Performance Test Suite (Load & Scalability)
Execution Frequency: Weekly + Performance concerns
Total Execution Time: ~2 hours
Automation Level: 95% automated
Success Criteria: All SLAs met
Focus Areas:
- 50 concurrent users load testing
- API response time validation (< 1s)
- Page load performance (< 3s)
- Real-time update latency (< 2s)
- Database query optimization
- Integration service performance
Tools: JMeter, New Relic, Custom monitoring
Environment: Performance testing environment
Integration & Dependency Management
System Dependency Matrix
Integration Point | Dependency Level | Health Check | Failure Impact | Recovery Strategy |
---|---|---|---|---|
CX System | Critical | /health endpoint | High - Consumer operations blocked | Cached data + manual retry |
MX System | Critical | /status endpoint | High - Meter data inaccurate | Historical data + refresh |
ONB System | Medium | /ping endpoint | Medium - Limited area selection | Default options + notification |
Mobile App | Critical | Push notification test | High - Field operations stopped | Manual coordination + sync |
Database | Critical | Connection pool monitoring | Critical - Complete failure | Immediate escalation |
Pre-Test Environment Validation
# Environment Health Check Script
#!/bin/bash
echo "=== Read Cycle Management Test Environment Validation ==="
# Database connectivity
echo "✓ Checking database connection..."
# Connection test logic
# External service health
echo "✓ Validating CX service health..."
curl -f http://cx-service/health || echo "❌ CX service unavailable"
echo "✓ Validating MX service health..."
curl -f http://mx-service/health || echo "❌ MX service unavailable"
echo "✓ Validating ONB service health..."
curl -f http://onb-service/health || echo "❌ ONB service unavailable"
# Test data preparation
echo "✓ Preparing test data..."
# Data setup scripts
echo "✓ Environment ready for testing"
Test Data Management Strategy
Master Test Data Setup
-- Test Areas and Sub-areas
INSERT INTO areas (id, name, active) VALUES
('area-001', 'Downtown District', true),
('area-002', 'North Residential', true),
('area-003', 'Industrial Zone', true);
INSERT INTO sub_areas (id, area_id, name, active) VALUES
('sub-001', 'area-001', 'Commercial Zone A', true),
('sub-002', 'area-001', 'Commercial Zone B', true),
('sub-003', 'area-002', 'Residential Block 1', true);
-- Test Routes with Meters
INSERT INTO routes (id, name, area_id, sub_area_id, read_type, meter_count) VALUES
('route-001', 'Downtown Route A', 'area-001', 'sub-001', 'Manual', 32),
('route-002', 'Downtown Route B', 'area-001', 'sub-001', 'Manual', 24),
('route-003', 'Downtown Route C', 'area-001', 'sub-001', 'Manual', 29);
-- Test Meters with Various Conditions
INSERT INTO meters (id, serial_number, route_id, condition, category, status) VALUES
('meter-001', 'M123456', 'route-001', 'Normal', 'Commercial', 'Active'),
('meter-002', 'M123457', 'route-001', 'Faulty', 'Commercial', 'Active'),
('meter-003', 'M123458', 'route-001', 'RCNT', 'Residential', 'Inactive');
Test Data Cleanup Strategy
-- Cleanup script for test isolation
DELETE FROM read_cycles WHERE name LIKE 'Test Cycle%' OR name LIKE 'API Test%';
DELETE FROM audit_trail WHERE action LIKE '%Test%';
-- Additional cleanup as needed
Performance Benchmarks & SLA Definitions
Response Time Requirements
Operation Type | Target Response Time | Maximum Acceptable | Measurement Method |
---|---|---|---|
Page Loads | < 3 seconds | < 5 seconds | Browser timing API |
API Calls | < 1 second | < 2 seconds | Server response time |
Real-time Updates | < 2 seconds | < 3 seconds | UI update timing |
Database Queries | < 500ms | < 1 second | Query execution time |
File Exports | < 10 seconds | < 30 seconds | Download completion |
Mobile Sync | < 2 minutes | < 5 minutes | Cross-platform timing |
Throughput Requirements
System Component | Target Throughput | Peak Capacity | Monitoring Alert |
---|---|---|---|
Concurrent Users | 50 users | 75 users | > 60 users |
API Requests | 100 req/sec | 150 req/sec | > 120 req/sec |
Database Connections | 20 connections | 50 connections | > 40 connections |
File Processing | 1000 records/min | 2000 records/min | < 500 records/min |
System Resource Limits
Resource Type | Normal Usage | Maximum Acceptable | Alert Threshold |
---|---|---|---|
CPU Usage | < 60% | < 85% | > 75% |
Memory Usage | < 70% | < 90% | > 80% |
Disk I/O | < 50% | < 80% | > 70% |
Network Bandwidth | < 40% | < 70% | > 60% |
Risk Assessment & Mitigation Strategies
High-Risk Test Areas
1. Real-time Data Synchronization (Risk Level: High)
Risk Factors:
- Complex mathematical calculations across multiple routes
- UI updates dependent on backend processing
- Integration with multiple external systems
Mitigation Strategies:
- Extensive automated regression testing
- Performance monitoring with alerts
- Fallback to cached data when services unavailable
- Progressive loading for large datasets
Test Coverage:
- TC_002: Real-time dashboard updates
- TC_006: Integration testing
- API_002: Dashboard API performance
2. Mobile-Web Integration (Risk Level: High)
Risk Factors:
- Cross-platform data consistency requirements
- Network connectivity variations in field
- Offline capability requirements
Mitigation Strategies:
- Comprehensive end-to-end testing
- Offline scenario validation
- Data conflict resolution mechanisms
- Robust sync failure handling
Test Coverage:
- TC_009: Mobile integration end-to-end
- TC_008: Error handling and recovery
- Performance testing with mobile scenarios
3. System Integration Dependencies (Risk Level: Medium-High)
Risk Factors:
- Dependency on CX, MX, ONB external services
- Network latency and timeout scenarios
- Data consistency across systems
Mitigation Strategies:
- Health check validation before test execution
- Graceful degradation testing
- Circuit breaker pattern implementation
- Comprehensive error handling validation
Test Coverage:
- TC_006: System integration validation
- TC_008: Error handling scenarios
- API performance testing
Risk Mitigation Test Schedule
Risk Category | Validation Frequency | Test Types | Success Criteria |
---|---|---|---|
Critical Path | Daily | Smoke tests | 100% pass rate |
Integration Points | Bi-weekly | Integration tests | 95% pass rate |
Performance | Weekly | Load tests | All SLAs met |
Data Consistency | Per release | Full regression | 90% pass rate |
Test Execution Analytics & Reporting
BrowserStack Test Management Reports Support
Report Category 1-5: Engineering Focus
1. Module Coverage Report
- Test cases per module/feature
- Code coverage mapping
- Defect density by module
2. Performance Benchmark Report
- Response time trends
- Throughput measurements
- Resource utilization metrics
3. Integration Health Report
- External dependency status
- API performance metrics
- Service reliability scores
4. Automation ROI Report
- Automated vs manual test ratio
- Execution time savings
- Maintenance effort tracking
5. Quality Metrics Dashboard
- Pass/fail rates by priority
- Defect detection effectiveness
- Test stability indicators
Report Category 6-10: Product & Business Focus
6. Feature Readiness Report
- Acceptance criteria coverage
- User story completion status
- Release readiness assessment
7. Customer Impact Analysis
- Critical path test results
- Revenue-impacting feature status
- Customer segment risk assessment
8. Business Priority Alignment
- Must-have vs nice-to-have coverage
- Business rule validation status
- Compliance requirement tracking
9. Release Quality Summary
- Overall system health score
- Critical defect summary
- Go/no-go recommendation
10. Trend Analysis Report
- Quality improvement trends
- Performance degradation tracking
- Regression test effectiveness
Report Category 11-17: Operations & Management Focus
11. Test Execution Efficiency
- Test case execution times
- Resource utilization optimization
- Test environment utilization
12. Defect Lifecycle Tracking
- Bug discovery rates
- Resolution time tracking
- Defect prevention metrics
13. Risk Assessment Dashboard
- High-risk area identification
- Mitigation strategy effectiveness
- Risk trend analysis
14. Stakeholder Communication
- Executive summary reports
- Customer success metrics
- Support team readiness
15. Compliance & Audit Trail
- Test evidence documentation
- Regulatory requirement coverage
- Audit trail completeness
16. Cross-Team Collaboration
- Engineering-QA handoff metrics
- Product-QA alignment tracking
- Support escalation patterns
17. Strategic Planning Support
- Test strategy effectiveness
- Resource planning insights
- Technology debt identification
Test Metrics Collection Framework
// Test Metrics Collection Example
const testMetrics = {
executionMetrics: {
totalTests: 12,
passedTests: 11,
failedTests: 1,
executionTime: '3.5 hours',
averageTestTime: '17.5 minutes'
},
performanceMetrics: {
apiResponseTime: '0.8 seconds',
pageLoadTime: '2.4 seconds',
realTimeUpdates: '1.6 seconds'
},
businessMetrics: {
criticalPathCoverage: '100%',
revenueImpactingFeatures: '95% tested',
customerSegmentCoverage: 'All segments'
},
qualityMetrics: {
defectDetectionRate: '94%',
falsePositiveRate: '2%',
testStabilityScore: '97%'
}
};
Execution Schedule & Resource Planning
Weekly Test Execution Calendar
Day | Test Suite | Duration | Resources | Environment |
---|---|---|---|---|
Monday | Smoke Tests | 30 min | Automated | Staging |
Tuesday | Regression Suite | 3 hours | QA Team + Automation | Staging |
Wednesday | Performance Tests | 2 hours | Performance Engineer | Perf Environment |
Thursday | Integration Tests | 2.5 hours | QA + DevOps | Integration Environment |
Friday | Full Test Suite | 5 hours | Full QA Team | Pre-Production |
Resource Allocation Matrix
Test Type | Manual Effort | Automation Effort | Tools Required | Skill Level |
---|---|---|---|---|
Functional Tests | 40% | 60% | Selenium, TestNG | Mid-level QA |
API Tests | 20% | 80% | Postman, Newman | Senior QA |
Performance Tests | 10% | 90% | JMeter, New Relic | Performance Engineer |
Integration Tests | 50% | 50% | Custom tools | Senior QA + DevOps |
Mobile Tests | 70% | 30% | Appium, Device lab | Mobile QA Specialist |
Success Criteria & Exit Conditions
Release Go/No-Go Criteria
✅ Smoke Test Suite: 100% pass rate
✅ Critical Test Cases (P1): 100% pass rate
✅ High Priority Test Cases (P2): 95% pass rate
✅ Performance SLAs: All targets met
✅ Integration Tests: 95% pass rate
✅ No critical or high-severity open defects
✅ Mobile integration: Core flows working
✅ Security validation: No high-risk issues
Test Completion Criteria
✅ All planned test cases executed
✅ Defect backlog reviewed and prioritized
✅ Performance benchmarks documented
✅ Risk assessment completed
✅ Stakeholder sign-off obtained
✅ Test evidence archived
✅ Lessons learned documented
Conclusion
This comprehensive test suite for Read Cycle Management (MX02US02) provides complete coverage of functional, integration, performance, and mobile testing requirements. The test cases are designed to support all 17 BrowserStack test management reports while ensuring high-quality delivery for small and medium utility companies.
Key Deliverables Summary:
- 12 Detailed Test Cases with comprehensive validation points
- 4 Test Suite Configurations for different execution scenarios
- Performance Benchmarks with specific SLA targets
- Integration Testing Strategy for CX/MX/ONB systems
- Mobile Integration Validation for field operations
- Risk Assessment Matrix with mitigation strategies
- Complete Test Data Management approach
- Execution Analytics Framework for continuous improvement
The test suite ensures robust validation of the Read Cycle Management system while maintaining focus on business value, customer impact, and operational efficiency for utility companies.