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Activity Number:
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347
- Machine Learning and Applications in Complex Engineering Systems
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2018 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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Abstract #330365
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Presentation
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Title:
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Covering Arrays: An Efficient Tool for Validating Complex Engineered Systems
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Author(s):
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Ryan Lekivetz* and Joseph Morgan
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Companies:
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SAS Institute, Inc. and SAS Institute, Inc.
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Keywords:
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Covering Arrays;
Design of Experiments
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Abstract:
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Validating complex engineered systems is proving to be an increasingly difficult task for test engineers given the tight budgetary constraints that they usually face. The behavior of such systems is typically due to many inputs, each of which may have several possible settings. As a consequence, the input space for these systems is often so large that only a small fraction of the input space can be used for testing. The challenge for the test engineer is to find a way to sample from the input space in such a way that testing effectiveness is maximized. As it turns out, covering arrays can be used to address this challenge. In this talk, we introduce the concept of covering arrays and illustrate how they may be used to validate engineered systems with examples taken from the software development industry.
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Authors who are presenting talks have a * after their name.
