Presented as a poster at DVCon US 2019, Feb 2019, San Jose, CA.
This paper explores the feasibility of predicting bad commits before running any tests
Predicting Bad Commits
Automatic Debug - Powered by Machine Learning
An automatic regression failure debugger that has been proven in many real verification projects to accelerate the regression debug process by more than 4X
Latest News
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New Customer: A Major Semiconductor Company [Feb 2020]
We signed on a new customer to use PinDown, our automatic debugger of...
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At DAC: ML-Powered Automatic Debug [June 2019]
At DAC56 in Las Vegas we talked a lot about automatic debug powered by machine...
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Verification 3.0 Innovation Summit [Mar 2019]
We presented at a completely new show focused on innovation within the...
Papers
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Predicting Bad Commits
Presented as a poster at DVCon US 2019, Feb 2019, San Jose, CA. This paper...
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An Analytical View of Test Results using Cityscapes
Presented as a poster at DVCon US 2018, Feb 2018, San Jose, CA. A novel and...
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Optimal Usage of the Computer Farm for Regression Testing
Presented at DVCon US 2016, Mar 2016, San Jose, CA. How often should you...