2017
DOI: 10.1007/978-3-319-54430-4_39
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Genetic Algorithm for Self-Test Path and Circular Self-Test Path Design

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Cited by 2 publications
(4 citation statements)
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“…Every individual has to be simulated and this process is a great time-consuming task. In [7], the stochastic model of pseudo-random testing, which significantly reduces this problem, was described. Using the stochastic model, the simulation of each solution is well reduced due to the conversion of exploration FC in search of a suitable length of sequence.…”
Section: Genetic Algorithm As Nlfsr Design Methodsmentioning
confidence: 99%
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“…Every individual has to be simulated and this process is a great time-consuming task. In [7], the stochastic model of pseudo-random testing, which significantly reduces this problem, was described. Using the stochastic model, the simulation of each solution is well reduced due to the conversion of exploration FC in search of a suitable length of sequence.…”
Section: Genetic Algorithm As Nlfsr Design Methodsmentioning
confidence: 99%
“…It should be noted that both in linear and non-linear testing techniques, the circuit MM is typically included into self-testing structure registers as results from ability to improve testability and application of Design for Testability (DFT). An important observations was made in [7].…”
Section: Introductionmentioning
confidence: 99%
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“…In this scheme, test pattern is applied and its response is captured every test clock cycle. [6] proposed a circular self-test path (CSTP) method for test-per-clock test. [7] proposed an accumulator-based test-per-clock test generation.…”
Section: Introductionmentioning
confidence: 99%