Wagenmann, SteffenSteffenWagenmannBursac, NikolaNikolaBursacRapp, SimonSimonRappAlbers, AlbertAlbertAlbers2023-03-012023-03-012022-0517th International design conference (DESIGN 2022)http://hdl.handle.net/11420/14929This paper investigates which activities and success factors can be identified for the data-driven validation of functional requirements. For this purpose, a case study is conducted at a machine tool manufacturer. To validate functional requirements by analyzing data of reference products, these activities must be performed iteratively: basic work, interdisciplinary work, programming and check results. For the successful execution of data-driven validation, the success factors: data origin, acceptance, data quality, knowledge about data and combination of domain knowledge must be considered.en2732-527X202218051814decision makingdigital twinindustry 4.0internet of things (IoT)product generation engineering (PGE)Conference Paper10.1017/pds.2022.183Conference Paper