Dynamic competitive learning applied to the clone detection problem

P. Barson, N. Davey, R. Frank, D. Tansley

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    Abstract

    A novel neural network architecture, 'Dynamic Competitive Learning', has been applied to the software clone detection problem in telecommunications systems. A software clone is a copy (subsequently modified), of a piece of existing code; it is common practice in large systems to obtain similar code via reuse of fully tested code. This paper discusses a hierarchical network with dramatically reduced training time compared to a Self Organising Map, but with at least as good a classification performance.
    Original languageEnglish
    PublisherUniversity of Hertfordshire
    Publication statusPublished - 1995

    Publication series

    NameUH Computer Science Technical Report
    PublisherUniversity of Hertfordshire
    Volume220

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