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Probabilistic networks for verifying automated testing of high speed telecommunication equipment through the development lifecycle

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4 Author(s)
Sterritt, R. ; Ulster Univ., Jordanstown, UK ; Adamson, K. ; Curran, E.P. ; Shapcott, C.M.

Learning probabilistic networks for expert system applications has seen a great surge of research activity in recent years. The paper reports on the adoption of probabilistic networks for verifying the pass/fail result of automated testing at the software verification stage in the development lifecycle of high-speed telecommunications equipment. The focus is on learning Bayesian belief networks (BBNs) from automated test data on a per test execution basis. This facilitates result classification and assurance, taking advantage of their graphical nature to provide accountability for the decision

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Systems, Man, and Cybernetics, 2000 IEEE International Conference on  (Volume:1 )

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