Title :
Application of statistical analysis to determine the priority for improving LSI technology
Author :
Saito, Kazuyuki ; Sakaue, Masahiro ; Okubo, Tsuneo ; Minegishi, Kazushige
Author_Institution :
NTT LSI Labs., Kanagawa, Japan
fDate :
2/1/1992 12:00:00 AM
Abstract :
LSI failures are classified into three categories: nonoperation failure, out-of-specification failure, and out-of-reliability failure. The first two are emphasized. The binomial-distribution model is applied for nonoperation failure, and the analysis-of-variance using the F -distribution is applied for the out-of-specification analysis where the distribution of each characteristic parameter is assumed to be the Gaussian distribution. The analysis is performed experimentally using a test chip. An independent evaluation of an elemental structure, which is defined as a critical structure, is the most important principle in test chip design. A new two-level database system is adopted for the statistical analysis based upon the analysis-of-variance. Methods to determine the priority for improving LSI technology are presented for both nonoperation and out-of-specification failures. This procedure effectively assists in improving LSI yield
Keywords :
CMOS integrated circuits; failure analysis; integrated circuit testing; large scale integration; statistical analysis; CMOS LSI; Gaussian distribution; LSI failures; LSI technology; LSI yield; analysis-of-variance; binomial-distribution model; nonoperation failure; out-of-reliability failure; out-of-specification failure; statistical analysis; test chip; two-level database system; Condition monitoring; Databases; Electric variables measurement; Failure analysis; Gaussian distribution; Large scale integration; Performance analysis; Quality control; Statistical analysis; Testing;
Journal_Title :
Semiconductor Manufacturing, IEEE Transactions on