Analysis of fault coverage and simulation of test data compactors for online testing control units

Serge N. Demidenko

doi:10.1117/12.405404

24 October 2000 Analysis of fault coverage and simulation of test data compactors for online testing control units

Serge N. Demidenko

Proceedings Volume 4228, Design, Modeling, and Simulation in Microelectronics; (2000) https://doi.org/10.1117/12.405404
Event: International Symposium on Microelectronics and Assembly, 2000, Singapore, Singapore

Abstract

This paper is related to synthesis of concurrently self- testing control units providing pre-defined level of fault coverage. Compaction of test data is one of the core elements of on-line monitoring over control flow execution in terms of its integrity and correctness. Traditionally, the most widely employed compression algorithm is so-called Signature Compression. It is based on the well-established theory on cyclic coding. Cyclic coding and related error correction are very efficient tools when errors lead to inversion of some bits in the initial bit sequence. However, error types and corresponding fault models in case of control unit monitoring are different. Two new fault models for control unit test data are introduced in the paper - shortening and lengthening of the bit sequence being compressed. Results of simulation and comparison of several compression algorithms for these fault models are presented in the paper. The control units of micro-programmed type are considered through out the paper though the results can be applicable to other control unit architectures.

Citation Download Citation

Serge N. Demidenko "Analysis of fault coverage and simulation of test data compactors for online testing control units", Proc. SPIE 4228, Design, Modeling, and Simulation in Microelectronics, (24 October 2000); https://doi.org/10.1117/12.405404

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available