Cost-Efficient Mixed-Level Covering Designs for Testing Experiments

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 o...

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Veröffentlicht in:Journal of statistical theory and practice Jg. 14; H. 1
Hauptverfasser: Akhtar, Yasmeen, Phoa, Frederick Kin Hing
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cham Springer International Publishing 01.03.2020
Schlagworte:
Algorithms
Analysis and Advanced Methodologies in the Design of Experiments
Mathematics and Statistics
Original Article
Probability Theory and Stochastic Processes
Statistical Theory and Methods
Statistics
Covering designs
Mixed covering array on hypergraph
Near-continuous factors
62K15
Hyperedge coloring
ISSN:1559-8608, 1559-8616
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
ISSN:1559-8608
1559-8616
DOI:10.1007/s42519-019-0062-7