Name
Title | ||
|---|---|---|
iSchood - a Tool Software for Identifying Suspicious Copied Homework Documents with Definitive Contents. |
Abstract | ||
|---|---|---|
For the homework that has a definitive result, identifying suspicious copied homework documents from a mass of submitted ones is usually a laborious work. Because the documents have almost the same contents, it is impossible to discover copied ones by reading and comparing their contents in detail. However, copied documents will have similar or even the same file properties to the original ones. That makes it possible to identify the suspicious copied documents with similar file properties. We develop a tool software to process the comparisons automatically. It is based on an open source third-party library, and is developed in .NET as a Windows Form application. It simply reads the file properties, and calculates the hash strings from them. It is not necessary to compare every pair of hash strings. It is just needed to sort all the files by their hash strings, then the files with the same hash strings will be put together. The tool software is named iSchood, which means Identifying Suspicious Copied HOmewOrk Documents. By this software, the suspicious copied documents can be identified in a fast and lightweight way. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ICCSE49874.2020.9201869 | ICCSE |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gang Lu | 1 | 0 | 0.34 |
| Jingyang Gao | 2 | 0 | 0.34 |
| Ruiqi Li | 3 | 0 | 0.34 |