Reducing Test Execution Cost of Integrated, Heterogeneous Systems Using Continuous Test Data

• Published in: IEEE transactions on computer-aided design of integrated circuits and systems Vol. 30; no. 1; pp. 148 - 158
• Main Authors: Biswas, S, Blanton, R D
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2011; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accelerometers; Acceptability; Accuracy; Binary decision forest; Compaction; Correlation; Cost engineering; Design engineering; Hypercubes; integrated system test; Radio frequencies; Redundant; Semiconductor device measurement; Specifications; statistical learning; test compaction; Training; Training data; Transceivers
• ISSN: 0278-0070; 1937-4151
• DOI: 10.1109/TCAD.2010.2066630

Integrated, heterogeneous systems are comprehensively tested to verify whether their performance specifications fall within some acceptable ranges. However, explicitly testing every manufactured instance against all of its specifications can be expensive due to the complex requirements for test setup, stimulus application, and response measurement. To reduce manufacturing test cost, we have developed a methodology that uses binary decision forests and several test-specific enhancements for identifying redundant tests of an integrated system. Feasibility is empirically demonstrated using test data from over 70 000 manufactured instances of an in-production microelectromechanical system accelerometer, and over 4 500 manufactured instances of an RF transceiver. Through our analysis, we have shown that the expensive cold-mechanical test of the accelerometer and nine out of the 22 RF tests of the transceiver are likely redundant.