In the relentless pursuit of software quality, the role of Quality Assurance (QA) has never been more critical. As applications grow in complexity and data intensity, and as privacy regulations become increasingly stringent, a fundamental challenge persists: acquiring sufficient, realistic, and privacy-compliant test data. Traditional methods –...
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🔧 Generative AI for QA: 5 Ways Synthetic Data Solves Privacy and Coverage Gaps
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📆 28.01.2025 um 14:00 Uhr
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