Assured Autonomy Through Combinatorial Methods

Many conventional software engineering methods for high-trust software are not well suited to assured autonomy, but concepts from combinatorial testing can add confidence by providing a quantitative measure of the usefulness of a dataset.

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Bibliographic Details
Published inComputer (Long Beach, Calif.) Vol. 57; no. 5; pp. 86 - 90
Main Authors Kuhn, D. Richard, Raunak, M. S., Kacker, Raghu N., Chandrasekaran, Jaganmohan, Lanus, Erin, Cody, Tyler, Freeman, Laura, Michael, James Bret
Format Journal Article
LanguageEnglish
Published New York IEEE 01.05.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Autonomy
Combinatorial analysis
Combinatorial testing
Software engineering
Software measurement
Trusted computing
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Summary:Many conventional software engineering methods for high-trust software are not well suited to assured autonomy, but concepts from combinatorial testing can add confidence by providing a quantitative measure of the usefulness of a dataset.
ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2024.3363808