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Author Identification: An Approach based on Code Feature Metrics using Decision Trees
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 66 - Number 4 |
| Year of Publication: 2013 |
| Authors: Rohit R. Joshi, Rajesh V. Argiddi, Sulabha S. Apte |
10.5120/11074-5995
|
Rohit R. Joshi, Rajesh V. Argiddi, Sulabha S. Apte . Author Identification: An Approach based on Code Feature Metrics using Decision Trees. International Journal of Computer Applications. 66, 4 ( March 2013), 34-39. DOI=10.5120/11074-5995
Abstract
Now a day's, cases of piracies, copyrights, legal disputes, and allegations are increasing as far as field of software is concerned. In such cases it is difficult to say who is right and who is wrong between the two quarreling parties due to insufficient evidences. So, what could be done in such cases is the question? The field called as software forensic can help in such cases by giving the right direction towards the case. Software forensic is the field which can analyze the code from different viewpoints and helps in extracting the code metrics which can be syntactic, semantic, structural, behavioral, stylometric etc. These metrics can help in doing author identification, discrimination, characterization etc. Author identification plays very important role in most of the cases such as plagiarism detection, masquerade detection, software maintainability and resolving authorship disputes. This paper focuses on author identification, source code metrics, related work, proposed work and applications of author identification.
References
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