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Watch a 23-minute conference talk from SLE 2023 exploring a methodology for reusing and integrating recommenders into modeling tools. Learn about a proposed approach that considers four dimensions: target modeling language, tool, recommendation source, and recommended items. Discover the IronMan Eclipse plugin that automates recommender integration for Sirius and tree-based editors, enabling reuse across different modeling languages. Examine the evaluation of this tool, which demonstrates the reuse of 2 recommenders across 4 languages and integration into 6 modeling tools. Gain insights into addressing challenges in recommender system development and integration for model-driven engineering.
