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Automated coverage feedback

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Automated coverage feedback is feature that the first generation of intelligent verification tools used to optimize the regression testing process.[1]

With automated coverage feedback, the test description is [[Hyperparameter optimization|automatically adjusted] to target design functionality that has not been previously verified (or "covered") by other tests existing tests.

A key property of automated coverage feedback is that, given the same test environment, the software will automatically change the tests to improve functional design coverage in response to changes in the design.

See also

External resources

Machine Learning Techniques for Improving the Performance Metrics of Functional Verification https://www.romjist.ro/full-texts/paper682.pdf

References

  1. ^ Automating Regression Verification https://formal.iti.kit.edu/~klebanov/pubs/ase2014.pdf
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