Phase 01
Requirement Analysis LLMs parse requirements, detect ambiguity, generate testability scoring and traceability matrices.
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Phase 02
Test Planning AI suggests scope, risk-based prioritization, effort estimation and resource allocation.
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Phase 03
Test Case Design Auto-generate positive, negative, boundary and edge cases from requirements and historical defects.
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Phase 04
Test Environment Setup Infrastructure-as-code templates and AI-assisted configuration validation for HIL/SIL/MIL benches.
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Phase 05
Test Execution Self-healing scripts, intelligent retries, anomaly detection on logs and signal traces.
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Phase 06
Defect Reporting & Triage AI clusters duplicates, predicts severity, and suggests root-cause hypotheses with linked evidence.
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Phase 07
Test Closure Automated coverage reports, lessons-learned summarization, and metrics-driven release readiness.
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