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    ML Test Selection

    Optimization
    Phase: test
    CFR
    LT

    Quick Reference

    Phase
    test
    Epic
    AI-Generated Testing & Intelligent Quality
    Milestone
    Optimization
    Target
    >= 70% test time reduction, 99% defect detection
    Implementation Time
    Part of AI-Generated Testing & Intelligent Quality epic: 5.5 weeks (44 hours per capability avg)

    What & Why

    Definition

    >= 80% of PRs run only affected tests (ML predicts impact) reducing test time by >= 70% while maintaining 99% defect detection.

    Business Value

    Generates 70% of test cases automatically with 90% assertion quality and discovers 3x more edge cases through AI-powered test generation Achieving >= 70% test time reduction, 99% defect detection is a key milestone toward this goal.

    Context

    This capability is part of the Optimization milestone's focus on ai enablement, predictive ops, self-healing. Essential for teams targeting CFR, LT improvements.

    Success Criteria

    Target

    >= 70% test time reduction, 99% defect detection

    Measurement

    Test selection accuracy + time savings + missed defects

    Evidence

    • Test impact analysis model
    • Test selection metrics
    • Escaped defect analysis

    In Practice

    Real-World Implementation

    ML analyzes code changes, traces impact through call graph, selects affected tests. Runs 30% of tests, catches 99% of defects, 70% time savings.

    Concrete Example

    PR changes payment.service.ts. ML selects: payment.test.ts, checkout.e2e.ts, integration.payment.test.ts (150 tests, 5min). Skips 450 tests (15min saved).

    Implementation Guide

    Prerequisites

    Code Coverage Baseline
    >= 70% branch coverage

    Implementation Steps

    Follow the measurement approach: Test selection accuracy + time savings + missed defects

    For detailed step-by-step guidance, refer to the AI-Generated Testing & Intelligent Quality Implementation Kit.

    Resources

    Implementation Kit

    AI-Generated Testing & Intelligent Quality Kit

    Templates

    Browse all templates

    Related Resources

    View learning paths

    Related Capabilities

    Prerequisites

    Implement these first

    Code Coverage Baseline

    Complementary

    Often adopted together, from the AI-Generated Testing & Intelligent Quality epic

    AI Test Scenario Generation
    Self-Healing Test Automation
    AI Test Data Synthesis
    ML-Driven Chaos Experiments

    Troubleshooting & FAQs

    Common Issues

    Issue: Target metric not improving

    Solution: Verify measurement is accurate, check if prerequisites are fully implemented, review evidence artifacts for completeness

    Issue: Team resistance to adoption

    Solution: Start with pilot team, demonstrate value with metrics, provide training and support during transition

    Issue: Inconsistent implementation across teams

    Solution: Create shared templates and guidelines, establish regular sync meetings, use automation to enforce standards

    Frequently Asked Questions

    Can we implement this before completing prerequisites?

    While possible, it's not recommended. Prerequisites ensure foundational practices are in place, making this capability more effective and easier to adopt.

    How long does implementation typically take?

    Most capabilities can be implemented within 185 days when tackled as part of the Optimization milestone. Individual timelines vary based on team size and existing practices.

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    Way of Working

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