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Watermelon – Analyst Speaks
Improve Software Quality by Building Digital Immunity.
Observability
User production data to create/update test cases
Chaos Engineering
Create controlled random breakages using defined attack vectors to update test cases
Autonomous Testing
Functional and performance testing should be automated and reusable
Auto Remediation
Fixes to common problems should be executed automatically on triggers
Continuous Validation
Need to have traceability between design/dev and post prod
Watermelon – AI Led Unified Platform
No Code automation
Ease of licensing
Single Unified Platform
AI Driven
Functional & API Test Automation:
• 100+ no code automation blocks
• Auto healing
• Doman Tester Friendly
• Reusable Code snippets
• Integrates with existing Testing Ecosystem
• Supports API, mobile, Web & green terminal apps
• In-built browser grid and integration with device farms like Lambda Test / Browser stack
• Early performance insights
Chaos Engg:
• 200+ chaos experiments prepackaged
• Ability to create experiments at application, journey or platform level
• Ability to overlay chaos attacks with functional test scripts, enabling exact journey impact to be seen
SLO Management:
• Ability to define SLO for application level, service level or journey level
• Support for all market standard monitoring/log/db data sources
• Track business targets in real time as SLIs
• Command center view to enable L0 to trigger on reliability under currents
• View impact of change on reliability goals
• Suggest next action for ops, to have maximum impact on customer reliability
Persona Based Testing
Architects
o Defining System Requirements and specs
o Architecture Review and Approval
o Evaluate New Tech and Solutions
o Disaster Recovery and BC planning
Current
Testers
o Design Test Scenarios
o Test Automation
o Regression Testing
o Load and Performance Testing
o Security Testing
App Owners
o Write Code
o Code review
o Automated testing
o Bug Fixing
o Performance Optimization
Influence of CHAOS
Architects
o Validate architecture
o Eliminate architectural weaknesses
o Robust infrastructure
o Improve critical path for applications
o Leverage for new product/technology assessment
Testers
o New dimension to Non-Functional Testing
o Look beyond Pass/Fail of Functionality
o Couple with load testing for deeper insights
o Pre-empt customer experience earlier in the life- cycle
o Influence Design and Code Quality beyond functional bugs
App Owners
o Improve Code Quality from Reliability perspective
o Focus on CX in addition to functionality
o Improve Observability
o Prepare for better incident response
o Understand and manage 3rd party dependencies better
o Reproduce Production issues
Watermelon Working Model
Biz
Requirement
Self Test Approve
UAT Testing Closure
Approve SIT Testing Closure
Testing COE
Test Comprehensively ,Fast
Create a test plan & Cycle
Result
Pass/Fail
CX Performance Metrics
Early Tech Insights
Validations for various scenarios
Raise Defect Easily
Fix
SIT Testing
Ownership + Code + Unit Test
Testing Team
Dev
Self Test Approve
UAT Testing Closure
Test Comprehensively ,Fast
Create a test plan & Cycle
Raise Defect Easily
Result
Pass/Fail
CX Performance Metrics
Early Tech Insights
Validations for various scenarios
Fix
UAT ToMD, Performance Testing
Release with Confidence
No Code
Run On Pipeline
Maintenance
Automated Executions
Data Driven
Ease Of
AI Led Platform - Potential Savings
Saving with Automated Test Case Creation
Development, Coding & Integration
Generative AI Based Test Creation
~80%
Requirement
Test Case
Test Data
SIT
UAT
PT
100% Reusability
100% Script Reusability
~60%
Performance Testing
Production
Reliability Testing
AI Led Automation
Domain Tester
Enhance Coverage
Automation Script Execution & Maintenance
Auto Healing
Unattended Executions
Domain Tester Friendly Scripts
Migration Testing
No Code Automation
API & UI Automation
~50%
~30%
~70%
~40%
Saving with Enhanced Coverage
Regression Testing
Saving with Reusable scripts across env
Savings with Democratized Automation
Savings with Scheduled Executions
~20% Overall Reduced Cost
Savings owing to Reduced maintenance
Cost Efficiency with AI led Testing
AI Led Automation Development
• Automation First Approach
• In Sprint Automation
• E2E Automation
• API & UI Automation
• NFR Automation
AI Led Self Healing
• Automated Regression
• Script Maintenance
• Service Virtualization
• CI/CD Integration
• Tool Integration
AI Led Coverage
• End to End Automation
• Scheduled Script Executions
• Multi Env Executions
• Multi Device Executions
• Multi Data Set Executions
Autonomous Testing
• Auto Remediation
• Context Driven Testing
• Observability
