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Learn about metaheuristic test case generation for modern AI-powered systems in this 33-minute conference talk from the ISTA Conference. Discover how the Testimize engine addresses the combinatorial explosion of inputs in testing by applying a hybrid Artificial Bee Colony (ABC) algorithm that combines boundary value analysis, equivalence partitioning, and optimized pairwise coverage to create smaller test suites with greater input diversity and 20-70% higher quality compared to standard pairwise testing. Explore metaheuristics concepts through simple explanations and practical analogies, including autonomous vehicles with thousands of factors, to understand why combinatorial explosion matters in testing. Watch a live demonstration of Testimize in action, showing how it works directly in code or through its new MCP Server by reading requirements from Confluence, generating optimized test cases, creating step-by-step scenarios in Zephyr, and producing data-driven automated tests for practical day-to-day testing scenarios.
