Modern Regression Reality faces a critical dilemma:
- New features breaking existing functionality
- Growing test complexity with every release
- Mounting technical debt from inadequate coverage
- Release delays from manual regression testing cycles
- New features breaking existing functionality
- Growing test complexity with every release
- Mounting technical debt from inadequate coverage
- Release delays from manual regression testing cycles
Our Intelligent Approach: Shift from reactive to predictive QE
Strategic Layer:
For Robust Regression Testing
- AI-Powered risk-based test optimization
- Automatic test regression suite design
- Coverage analytics and gaps assessment
- Release readiness intelligence
Execution Layer:
For Effective Regression Testing
- AI-powered test selection
- Continuous regression testing
- Automated impact analysis
- Real-time quality insights
Strategic Layer:
For Robust Regression Testing
- AI-Powered risk-based test optimization
- Automatic test regression suite design
- Coverage analytics and gaps assessment
- Release readiness intelligence
Execution Layer:
For Effective Regression Testing
- AI-powered test selection
- Continuous regression testing
- Automated impact analysis
- Real-time quality insights
Measurable Impact:
70%
Faster regression cycles
85%
Reduction in production defects
60%
lower testing costs
90%
automated coverage of critical paths
What Sets Us Apart: AI Driven
- Risk-based test prioritization
- Intelligent test selection
- Continuous regression testing strategy
- Predictive quality analytics
- Cross-platform coverage
- Risk-based test prioritization
- Intelligent test selection
- Continuous regression testing strategy
- Predictive quality analytics
- Cross-platform coverage
Ticking Minds Engagement Model and Methodology for Functional and Regression Services
