Chip test pattern reordering method using adaptive test to reduce cost for testing of ICs

Author:

Song Tai1,Liang Huaguo1,Huang Zhengfeng1,Ni Tianming2,Sun Ying3

Affiliation:

1. School of Electronic Science and Applied Physics, Hefei University of Technology

2. Department of Electrical Engineering, Anhui Polytechnic University

3. Department of Computer Science and Technology, Pingdingshan Polytechnic college

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Reference30 articles.

1. [1] M.B. Alawieh, et al.: “Wafer map defect patterns classification using deep selective learning,” 2020 57th ACM/ESDA/IEEE Design Automation Conference (DAC) (2020) (DOI: 10.1109/dac18072.2020.9218580).

2. [2] T. Song, et al.: “Novel application of deep learning for adaptive testing based on long short-term memory,” 2019 IEEE 37th VTS (2019) (DOI: 10.1109/vts.2019.8758628).

3. [3] H.-G. Stratigopoulos and C. Streitwieser: “Adaptive test with test escape estimation for mixed-signal ICs,” IEEE Trans. Comput.-Aided Design Integr. Circuits Syst. 37 (2018) 2125 (DOI: 10.1109/TCAD.2017.2783302).

4. [4] Semiconductor Industry Association: “International roadmap for devices and system (IRDS),” (2020).

5. [5] T. Song, et al.: “Pattern reorder for test cost reduction through improved SVMRANK algorithm,” IEEE Access 8 (2020) 147965 (DOI: 10.1109/access.2020.3016039).

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