Name
Abstract | ||
|---|---|---|
Source code re-use has become an important problem in academia. The amount of code available makes necessary to develop systems supporting education that could address the problem of detection of source code re-use. We present the DeSoCoRe tool based on techniques of Natural Language Processing (NLP) applied to detect source code re-use. DeSoCoRe compares two source codes at the level of methods or functions even when written in different programming languages. The system provides an understandable output to the human reviewer in order to help a teacher to decide whether a source code is re-used. |
Year | Venue | Keywords |
|---|---|---|
2012 | HLT-NAACL | source code re-use,human reviewer,desocore tool,different programming language,important problem,source code,understandable output,natural language processing,programming language |
Field | DocType | Citations |
Unreachable code,Code bloat,Programming language,Source code,Computer science,Redundant code,Code generation,KPI-driven code analysis,Computer programming,Source lines of code | Conference | 6 |
PageRank | References | Authors |
0.54 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enrique Flores | 1 | 25 | 3.04 |
| Alberto Barrón-Cedeño | 2 | 346 | 29.35 |
| paolo rosso | 3 | 1831 | 188.74 |
| Lidia Moreno | 4 | 125 | 20.25 |