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Description
Overview
Create comprehensive A/B testing framework with statistical analysis and automated winner selection.
Background
Data-driven decisions require sophisticated A/B testing capabilities for features, UI changes, and business logic.
Specifications
Modules to Create:
- ABTestingModule with experiment management
- ExperimentService for test execution
- StatisticalAnalysisService for result evaluation
- AutomatedDecisionService for winner selection
Tasks:
- Implement experiment design and configuration
- Create statistical significance calculation
- Add automated traffic allocation and balancing
- Implement multivariate testing capabilities
- Create experiment result analysis and reporting
Impacted Files:
- src/ab-testing/ab-testing.module.ts (new)
- src/ab-testing/ab-testing.service.ts (new)
- src/ab-testing/experiments/experiment.service.ts (new)
- src/ab-testing/analysis/statistical-analysis.service.ts (new)
- src/ab-testing/automation/automated-decision.service.ts (new)
- src/ab-testing/reporting/ab-testing-reports.service.ts (new)
Labels: backend, ab-testing, statistics, experimentation, priority-medium
Acceptance Criteria
- Experiments can be configured with multiple variants
- Statistical significance is calculated accurately
- Traffic allocation balances fairly across variants
- Multivariate testing supports complex experiments
- Automated winner selection follows statistical best practices
🙌Contribution Guidelines:
Assignment required before PR submission
Timeframe: 24-48 hours
PR description must include: Close #[issue-number]
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For more context, please refer to the project README here 🚀