| dc.contributor.author | Carter, S. | |
| dc.contributor.author | Frank, R. | |
| dc.contributor.author | Tansley, D. | |
| dc.date.accessioned | 2010-10-07T10:37:01Z | |
| dc.date.available | 2010-10-07T10:37:01Z | |
| dc.date.issued | 1994 | |
| dc.identifier.citation | Carter , S , Frank , R & Tansley , D 1994 , Clone detection in telecommunications software systems : a neural net approach . Computer Science Technical Report , no. 208 , University of Hertfordshire . | |
| dc.identifier.other | dspace: 2299/4892 | |
| dc.identifier.uri | http://hdl.handle.net/2299/4892 | |
| dc.description.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 more favourable of these have been applied in a hybrid, modular tool architecture. The current result is a demonstration system in trial. | en |
| dc.format.extent | 11 | |
| dc.format.extent | 1298029 | |
| dc.language.iso | eng | |
| dc.publisher | University of Hertfordshire | |
| dc.relation.ispartofseries | Computer Science Technical Report | |
| dc.title | Clone detection in telecommunications software systems : a neural net approach | en |
| dc.contributor.institution | School of Computer Science | |
| dc.contributor.institution | Department of Marketing and Enterprise | |
| dc.contributor.institution | Science & Technology Research Institute | |
| rioxxterms.type | Other | |
| herts.preservation.rarelyaccessed | true | |
