caozixuan / epfinder

An Efficient Plagiarism Code Detection Approach For Large Scale Student Assignments

EPFinder User Manual

1. Compare code pairs

detect_pair(code1, code2)

code1 and code2 is the the string representation of codes.

from EPFiner.compare import detect_pair
code1 = ""    # read code content from files
code2 = ""    # read code content from files
print(detect_pair(code1,code2)) 

2. Compare within directory

detect_directory(root, number, th)

root is the source directory of all codes that need to be detected. number is the number of clustering centers. th is the similarity threshold. Similarity larger than th will be print.

from EPFiner.compare import detect_directory
detect_directory('C:\\codes', 4, 0.7)

3. Compare codes with labels

detect_content(notes,codes,number,th)

notes is the labels that each code has. For example, notes = ['Tom','Jerry','Mike'] means the code in codes belongs to Tom, Jerry, Mike separately. codes is an array that contents all codes. number is the number of clustering centers. th is the similarity threshold. Similarity larger than th will be print.

from EPFiner.compare import detect_content
code1 = ""    # read code content from files
code2 = ""    # read code content from files
cpde3 = ""    # read code content from files
notes = ['Tom','Jerry','Mike']
codes = [code1, code2, code3]
detect_content(notes, codes, 4, 0.5)