Clone Detection in Telecommunications Software Systems:A Neural Net Approach

S. Carter, R.J. Frank*, D.S.W. Tansley

BNR Europe LimitedLondon Road, Harlow, Essex, UK, CM 17 9NA sc@bnr.co.uk, dswt@bnr.co.uk* University of HertfordshireCollege Lane, Hatfield, Herts, UK, AL10 9ABcomqrjf@herts.ac.uk

Abstract

We report on the development of a tool which uses neural nets to help in the detection of ’clone’ software in large telecommunication software systems. Cloning is a primitive form of software re-use, whereby existing blocks of source code are copied and adapted, for use elsewhere in the system or to implement new functionality. A number of representation schemes for presenting the source code to Self-Organising Maps (SOMs) have been tried. The ...

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