
doi: 10.1109/iptc.2010.90
In the instruction of computer courses, some students copy other’s source code as themselves. In order to detect this plagiarism accurately, researchers did a lot. In this paper, we described a source code plagiarism detection technologe based on AST, This technologe can detect the plagiarism accurately when the position of functions is changed by plagiarist. At first, transforming the programs to the AST using ANTLR, and then, abstracting the function subtrees from the AST, at last, compare the function subtree using LCS, get the simalarity between programs.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
