Constructing and Testing Data Models for LHC Electrical Quality Assurance

Constructing and testing various data models is a highly iterative and creative process. It requires the work of a team in an interdisciplinary way and a good understanding of the domain within which the models are developed. In this paper, we showed an approach for the construction and the estimation of various data models for hardware commissioning of the Large Hadron Collider (LHC). We reported the development of the methodology for constructing and testing the data models for electrical quality assurance (ELQA) and presented the outputs of the iterative processes of various models intended for the development of a software analysis tool for the ELQA campaigns, which will be used to discover similar patterns of low quality tests on circuits when dealing with non-conformities of the LHC hardware commissioning in the future.