The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 23, 2018
Filed:
Sep. 01, 2016
Cadence Design Systems, Inc., San Jose, CA (US);
Yael Kinderman, Givat Shmuel, IL;
Ohad Givaty, Shoham, IL;
Cadence Design Systems, Inc., San Jose, CA (US);
Abstract
A method for performing a regression session when testing a device under test (DUT), may include a. obtaining a coverage model of the DUT, and a verification session input file (VSIF) relating to a plurality of tests to be run on the DUT, the VSIF including an initial number of runs associated with each of the tests of the plurality of tests; b. performing a first iteration of the regression session in which each of the tests of the plurality of tests is run the initial number of runs associated with that test; c. calculating for that iteration an effectiveness grade of each run of the tests of the plurality of tests, and assigning a weight to each of the runs of the tests of the plurality of tests corresponding to the calculated effectiveness grade of that test run; an d. Iteratively performing further iterations of the regression session in each of which each of the tests of the plurality of tests is run a number of runs corresponding to the weight assigned to that test run in a previous iteration; and calculating for that iteration a new effectiveness grade of each run of the tests of the plurality of tests, and assigning a new weight to each of the runs of the tests of the plurality of tests, wherein the new effectiveness grade and the new weight are used as the effectiveness grade and the weight, respectively, in a consecutive iteration of the iteratively performed further iterations.