Published February 3, 2023
| Version v0.1.1
Software
Open
Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replication Paper)
Description
New scipy versions changed the internals of the gaussion kde, making our changes incompatible.
To allow for the continuous functioning of dnn-tip, we fall back to the default (scipy) implementation of kde for recent versions of scipy.
Notes
When using this software, please cite paper from which this software is an artifact (
Simple Techniques Work Surprisingly Well for Neural
Network Test Prioritization and Active Learning
(Replication Paper), to appear at ISSTA 2022.
)
Files
testingautomated-usi/dnn-tip-v0.1.1.zip
Files
(34.5 kB)
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|---|---|---|
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md5:368b398906a5f59a6868158fceb40a6e
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Additional details
Related works
- Is supplement to
- https://github.com/testingautomated-usi/dnn-tip/tree/v0.1.1 (URL)