Author

Dipin Khati

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Preprint Aug 2026

ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering

This study presents the first causally grounded structured methodology for embedding LLMs within the scientific method in SE, designed around the epistemological demands of empirical SE research, establishing a basis for rigorous AI-assisted research.

Alejandro Velasco, Daniel Rodríguez-Cárdenas, Dipin Khati et al. · 0 citations