Evolutionary Approach to Test Generation for Functional BIST

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Skobtsov:2005:ETSinformal,
  author =       "Y. A. Skobtsov and D. E. Ivanov and V. Y. Skobtsov and 
                 R. Ubar and J. Raik",
  title =        "Evolutionary Approach to Test Generation for
                 Functional {BIST}",
  booktitle =    "10th European Test Symposium",
  year =         "2005",
  editor =       "R. Ubar and P. Prinetto",
  pages =        "151--156",
  address =      "Reval Hotel Olumpia, Tallinn, Estonia",
  month =        may # " 22-25",
  note =         "Comment: 10 European Test Symposium. Informal Digest
                 of Papers",
  keywords =     "genetic algorithms, genetic programming: poster, sbse,
                 built-in self-test",
  URL =          "http://arxiv.org/abs/1008.0063",
  size =         "5 pages",
  abstract =     "In the paper, an evolutionary approach to test
                 generation for functional BIST is considered. The aim
                 of the proposed scheme is to minimise the test data
                 volume by allowing the device's microprogram to test
                 its logic, providing an observation structure to the
                 system, and generating appropriate test data for the
                 given architecture. Two methods of deriving a
                 deterministic test set at functional level are
                 suggested. The first method is based on the classical
                 genetic algorithm with binary and arithmetic crossover
                 and mutation operators. The second one uses genetic
                 programming, where test is represented as a sequence of
                 microoperations. In the latter case, we apply two-point
                 crossover based on exchanging test subsequences and
                 mutation implemented as random replacement of
                 microoperations or operands. Experimental data of the
                 program realisation showing the efficiency of the
                 proposed methods are presented.",
  bibsource =    "OAI-PMH server at export.arxiv.org",
  oai =          "oai:arXiv.org:1008.0063",
  notes =        "http://ati.ttu.ee/ETS/index.php
                 http://ati.ttu.ee/ETS/index.php?page=41 May 2011 Does
                 not appear in the online proceedings published by the
                 IEEE
                 http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=1429992",
}

Genetic Programming entries for Y A Skobtsov Dmitry E Ivanov V Y Skobtsov Raimund Ubar Jaan Raik

Citations