At the 54th DAC in Austin, June 2017 we demonstrated how PinDown can automatically debug regression failures down to the exact line of code. On the same topic we also presented a poster with the title "Automatic Debug with Fine Adaptive Granularity" where we walked through the principles of how the algorithms work. There was great interest and we had more traffic to our booth than we have ever had before at any show so far.

 

Axel Österman completed his bachelor thesis titled "Data Visualization" at Lund Institute of Technology, using obfuscated data provided by Verifyter. The purpose was to understand how to best present the unqiue type of data gathered by PinDown, Verifyter's automatic debug tool, in order for customers to understand the project status and the quality of their design and testbenches. The result of this thesis will contribute to the next generation PinDown GUI.

 

Poster (mixed English/Swedish)

Daniel Hansson and Patrik Granath from Verifyter were awarded "Best Poster - 2nd Place" at DVCon US, San Jose, for the poster with the title "Automatic Debug Down to the Line of Code". The poster explained how to automatically debug regression failures down to exact line of code that causes a test to fail. In the photo below, the award is announced by Tom FitzPatrick (to the right), Technical Program Chair at DVCon US and Verification Technologist at Mentor Graphics. Daniel Hansson (to the left) from Verifyter humbly accepts it.

 

 

 

Below is a picture of the award-winning poster