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A Quality Framework to Check the Applicability of Engineering and Statistical Assumptions for Automated Gauges

Abstract

In high-volume part manufacturing, interactions between program data and program flow can depart significantly from the initial statistical assumptions used during software development. This is a particular challenge for industrial gauging systems used in automotive part production where the applicability of statistical models affects system correctness. This paper uses a Quality Framework to track high-level engineering and statistical …

Authors

Bering TPK; Veldhuis SC

Pagination

pp. 319-325

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

August 1, 2010

DOI

10.1109/coase.2010.5584605

Name of conference

2010 IEEE International Conference on Automation Science and Engineering