Title :
Testability measures combining probablistic and sampling techniques
Author :
Favalli, M. ; Olivo, P. ; Ricco, B.
Author_Institution :
DEIS Univ. of Bologna, Italy
Abstract :
Probabilistic methodologies and sampling techniques are alternate approaches to the problem of determining quantitative testability measures. Unfortunately, both methods are not sufficiently accurate in treating hard-to-detect faults. An approach in which probabilistic methodologies are used to improve the effectiveness of testability measures obtained by means of the simulation of a few random vectors is presented. Results obtained on ISCAS benchmarks show relevant improvements on the accuracy in the evaluation of fault detection probabilities
Keywords :
built-in self test; fault diagnosis; logic design; logic testing; probability; BIST; ISCAS benchmarks; fault detection probabilities; hard-to-detect faults; probabilistic methodologies; quantitative testability measures; random vectors; sampling techniques; simulation; Circuit faults; Electrical fault detection; Error correction; Event detection; Fault detection; Marine vehicles; Probability; Sampling methods; Testing; Tree data structures;
Conference_Titel :
Design Automation, 1993, with the European Event in ASIC Design. Proceedings. [4th] European Conference on
Conference_Location :
Paris
Print_ISBN :
0-8186-3410-3
DOI :
10.1109/EDAC.1993.386438
