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Cost-Efficient Mixed-Level Covering Designs for Testing Experiments

  • Yasmeen Akhtar
  • Frederick Kin Hing PhoaEmail author
Original Article
  • 15 Downloads
Part of the following topical collections:
  1. Algorithms, Analysis and Advanced Methodologies in the Design of Experiments

Abstract

A covering design is a traditional class of experimental plans for hardware and software testing purposes. This paper presents a class of size-optimal covering designs for testing experiments with mixed-level factors. Among all the factors of different levels, one or two factors have a high number of levels while other factors form a full factorial so that all level combinations among factor pairs are “covered” at least once and appeared almost equally frequent. We use the coloring techniques for hypergraphs to construct such near-balanced mixed-level covering designs with the minimum run size.

Keywords

Covering designs Near-continuous factors Hyperedge coloring Mixed covering array on hypergraph 

Mathematics Subject Classification

62K15 

Notes

Acknowledgements

This work was supported by Career Development Award of Academia Sinica (Taiwan) Grant Number 103-CDA-M04, Ministry of Science and Technology (Taiwan) Grant Numbers 107-2118-M-001-011-MY3, 107-2321-B-001-038, and 108-2321-B-001-016. On behalf of all authors, the corresponding author states that there is no conflict of interest. The authors are grateful to anonymous reviewers for their valuable suggestions and comments.

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Copyright information

© Grace Scientific Publishing 2019

Authors and Affiliations

  1. 1.School of Computing, Informatics and Decision Systems EngineeringArizona State UniversityTempeUSA
  2. 2.Institute of Statistical ScienceAcademia SinicaTaipeiTaiwan

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