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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

  1. User has valid Meter Reading Supervisor credentials
  2. At least 3 routes with active meters exist in the system
  3. Areas and Sub-areas are configured in the system
  4. Utility services are properly configured
  5. Test data for meters is available
  6. Database is in clean state with sample data
  7. 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

  1. Multiple read cycles exist in different states (Active, Completed, Delayed)
  2. User has dashboard access permissions
  3. WebSocket connection is functional
  4. Test data includes cycles with various completion percentages
  5. 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

  1. Read cycle exists and is available for scheduling
  2. Scheduler service is running and functional
  3. User has scheduling permissions
  4. Calendar component is functional
  5. Timezone configuration is correct
  6. 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

  1. Multiple routes exist with varying meter counts and conditions
  2. Routes contain meters with different categories and conditions
  3. Test data includes representative meter distribution
  4. Performance monitoring tools are available
  5. 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

  1. Audit logging service is active and functional
  2. Database audit triggers are properly configured
  3. User permissions for audit trail access are set
  4. Test users with different roles are available
  5. Time synchronization is working correctly
  6. 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

  • [ ] Only authorized users can view audit trails
  • [ ] Audit records cannot be deleted
  • [ ] Database audit tables are protected
  • [ ] Sensitive data is properly handled
  • [ ] User session tracking accurate

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

  1. Read cycles exist in different statuses (Scheduled, Active, Completed, Delayed)
  2. User has appropriate edit permissions
  3. Status transition logic is properly configured
  4. Business rule validation is active
  5. 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

  • [ ] Edit button disabled for active cycles
  • [ ] Edit button enabled for scheduled cycles
  • [ ] Visual indication of disabled state clear
  • [ ] Tooltip explains why editing is disabled
  • [ ] Consistent behavior across different browsers

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

  • [ ] Pause button state matches cycle status
  • [ ] Status transitions follow business rules
  • [ ] Data integrity maintained during status changes
  • [ ] Concurrent access handled properly
  • [ ] Database constraints enforced

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

  1. Representative test data with various meter conditions
  2. Meters distributed across different categories
  3. Route assignments properly configured
  4. Database views for analytics are optimized
  5. 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

  1. Access to multiple browsers and devices
  2. Stable internet connection on all devices
  3. Valid user credentials for all platforms
  4. Test data consistent across environments
  5. 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)

Enhanced Tags

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

Enhanced Tags

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)

Enhanced Tags

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

Enhanced Tags

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

PDF

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:

  1. 12 Detailed Test Cases with comprehensive validation points
  2. 4 Test Suite Configurations for different execution scenarios
  3. Performance Benchmarks with specific SLA targets
  4. Integration Testing Strategy for CX/MX/ONB systems
  5. Mobile Integration Validation for field operations
  6. Risk Assessment Matrix with mitigation strategies
  7. Complete Test Data Management approach
  8. 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.