Source code similarity

We propose a detection method for plagiarised source code in programs written by students. The purpose of this work is to present state of-the-art solutions, evaluate them and then construct a new method for detection of plagiarism in source code. Method constructed uses the ideas and data representation found in text mining. Every program is presented with keywords from a program. The number of variables and their types are included as attributes. The method extracts subsets of programs (the clusters of plagiarism) such that each program within a particular subset has been derived from the same original. A set of plagiarized programming assignments is created to test and improve our method. Finally the method is tested on real programming assignments. The results are analysed and improvements are suggested