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We address the problem of design-for-diagnosability, i.e., improving the accuracy of fault diagnosis or reducing its complexity through the insertion of observation points. To perform design-for-diagnosability efficiently, we use a procedure developed earlier for computing the number of fault pairs, NP , that are not guaranteed to be distinguished by a given test set. By using the concept of z - detection, NP can be computed efficiently without enumerating fault pairs and without performing non-fault dropping fault simulation. We study the possibility of increasing the diagnosability of a circuit by inserting observation points so as to reduce NP . Our results include the following. (1) We find experimentally the number of observation points that need to be inserted in order to achieve a close-to-minimum value for NP . (2) We describe an efficient procedure for inserting a given number of observation points so as to reduce NP. We present experimental results for benchmark circuits to demonstrate the accuracy of using NP to guide a designfor- diagnosability process.

Z-DFD: DESIGN-FOR-DIAGNOSABILITY BASED ON THE CONCEPT OF Z-DETECTION