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When AI Defect Prediction Misses Critical Bugs: Our CI/CD Release Gate Learning Curve
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6
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0
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February 20, 2025
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AI spanning requirements, test management, and CI/CD—how are you connecting the dots?
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7
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0
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February 20, 2025
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Recovering 22K Builds with ML-Based Flaky Test Detection Platform
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3
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0
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February 19, 2025
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Managing AI fatigue in dev teams—how to build sustainable trust?
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4
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0
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February 19, 2025
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How do you balance GDPR deletion requirements with AI Act 10-year retention for audit trails?
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3
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0
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February 19, 2025
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AI code assistants everywhere, but dev teams still double-checking everything—how to bridge the trust gap?
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6
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0
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February 19, 2025
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Shipping AI-generated code at scale: how do you bridge the confidence gap?
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6
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0
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February 19, 2025
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How are teams balancing AI test prioritization with full regression coverage?
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4
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0
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February 19, 2025
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Continuous SOX Monitoring with AI in Our Financial Close Process
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4
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0
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February 19, 2025
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Choosing AI Test Automation Architecture: Multi-Model vs Single-Model vs Retrofitted
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6
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0
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February 18, 2025
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How do you validate AI-generated acceptance criteria before teams start building?
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7
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0
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February 18, 2025
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AI defect prediction letting critical bugs slip through—how to catch false negatives before production?
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7
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0
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February 18, 2025
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Balancing LLM-generated test coverage with execution time in CI/CD – how do you filter the noise?
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5
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0
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February 16, 2025
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Embedding Explainability and Audit Trails in AI-Driven ALM: How Are You Handling SOX and ISO Compliance?
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5
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0
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February 15, 2025
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Best approach to validate requirement quality before AI-generated tests
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6
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0
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February 15, 2025
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Recalibrating AI defect prediction after false-negative spike in production
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6
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0
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February 15, 2025
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Scaling requirements quality checks without drowning in manual reviews
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5
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0
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February 14, 2025
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Flaky test detection at scale: ML model vs heuristics vs hybrid?
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6
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0
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February 14, 2025
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