TY - BOOK
T1 - Dynamic competitive learning applied to the clone detection problem
AU - Barson, P.
AU - Davey, N.
AU - Frank, R.
AU - Tansley, D.
PY - 1995
Y1 - 1995
N2 - 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.
AB - 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.
M3 - Other report
T3 - UH Computer Science Technical Report
BT - Dynamic competitive learning applied to the clone detection problem
PB - University of Hertfordshire
ER -