Enrique Flores
ABSTRACT
Source code re-use has been usually faced from a compiler perspective. Considering the source code as a piece of text, we are able to use natural language techniques for the detection of source code re-use. This paper describes the use of ensemble models in the task of source code re-use detection. Ensembles of Information Retrieval (IR) models are constructed using common classifiers. The IR-inspired models are compared with the ensembles in C and Java programming languages. The use of ensemble classifiers shows promising results for detecting source code re-use.
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