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Zephyr Twister tool allows to apply data-driven approach in firmware development - with extended test data collection as input for trends visualization, performance impact and root cause analysis, anomaly detection, ML/LLM applications, etc.
This session provides an overview of the recently added Twister features for extended data collection as well as several use cases including Zephyr benchmarks, memory footprint, and test coverage analysis.
It should be interesting and insightful for a wide range of Zephyr practitioners: for vendors dealing with huge amount of test data from their CI pipelines as well as for individual contributors.
