Alexander, Rob orcid.org/0000-0003-3818-0310, Hawkins, Heather Rebecca and Rae, Andrew John (2015) Situation coverage – a coverage criterion for testing autonomous robots. Report. Department of Computer Science, University of York
Abstract
Autonomous robots (AR) can get themselves into a wide range of situations, and they do not have a human to look after them in fine detail all the time. When we test autonomous robots, we must therefore care deeply about the range and diversity of the situations in which we have simulated and tested them – we must make sure that the situation coverage of our testing is adequate. Situation coverage measures can be implemented quantitatively, and so unlock a range of automated testing strategies. There are epistemic challenges to justifying the confidence we should attach to test results driven by situation coverage, but they are not fundamentally more difficult than those faced by other coverage criteria.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 17 Dec 2015 12:43 |
Last Modified: | 01 Apr 2025 23:12 |
Status: | Published |
Publisher: | Department of Computer Science, University of York |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:88736 |