By Topic

DYTEST: a self-learning algorithm using dynamic testability measures to accelerate test generation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Mao, W. ; Dept. of Electr. & Comput. Eng., Colorado Univ., Colorado Springs, CO, USA ; Ciletti, M.D.

A self-learning algorithm called DYTEST, which uses a dynamic testability measure (DTM) to accelerate test generation, is presented. DYTEST's DTM guides the choice of a potential main sensitizing path during test generation. A full-logic value label backward implication creates estimates of logic values for the primary inputs. Dependent and k-limited backtracks are used to further reduce the number of backtracks

Published in:

Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on  (Volume:9 ,  Issue: 8 )