Replication Data for: A Systematic Mapping Study on Automatic Simulation Model Generation for Digital Twins

This dataset contains the extracted, classified, and analyzed data collected for the systematic mapping study titled “Automatic Simulation Model Generation for Digital Twins.” The dataset supports the investigation of existing approaches, methods, tools, and research trends related to the automated generation of simulation models within Digital Twin environments. It includes bibliographic metadata of the selected studies, study classifications, application domains, modeling and simulation techniques, automation approaches, validation methods, and identified research challenges and gaps.

The data was compiled through a systematic literature review process following established systematic mapping study guidelines to ensure transparency and reproducibility. The dataset is provided in Microsoft Excel format and is intended to support replication, secondary analyses, and future research in the fields of Digital Twins, simulation engineering, and automated model generation.