Title :
T2: Statistical Methods for VLSI Test and Burn-in Optimization
Author_Institution :
Auburn Univ., Montgomery, AL
Abstract :
VLSI circuits have been traditionally tested individually following manufacture; the same tests being applied to all ICs. However, as manufacturing test costs continue to show a disproportionate increase in relation to IC fabrication costs, innovative new statistical methods are being introduced to optimize testing. Such methods fall into two broad categories: those that exploit statistical information in regard to the variation of process parameters on wafers, and those that exploit the statistics of defect distributions on wafers. This tutorial presents test methodologies that span both these categories and illustrate their effectiveness with experimental results from a number of recent studies on production circuits from LSI Logic, IBM, Intel and TI
Keywords :
VLSI; integrated circuit manufacture; integrated circuit testing; statistical analysis; VLSI circuit testing; burn-in optimization; defect distributions; integrated circuit fabrication; manufacturing test cost; process parameters; production circuits; statistical methods; Circuit testing; Cost function; Fabrication; Integrated circuit testing; Logic testing; Manufacturing; Optimization methods; Statistical analysis; Statistical distributions; Very large scale integration;
Conference_Titel :
Test Symposium, 2005. Proceedings. 14th Asian
Conference_Location :
Calcutta
Print_ISBN :
0-7695-2481-8
DOI :
10.1109/ATS.2005.104