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Welcome to SAMURAI

 

Samurai is an automatic approach proposed and developed by Eric Enslen, Emily Hill, Lori Pollock, and K. Vijay-Shanker to split identifiers into sequences of terms by mining terms frequencies in a large source code base. SOCCER Samurai implementation is based on the original paper:

Eric Enslen, Emily Hill, Lori Pollock, and K. Vijay-Shanker. 2009. Mining source code to automatically split identifiers for software analysis. In Proceedings of the 2009 6th IEEE International Working Conference on Mining Software Repositories (MSR '09). IEEE Computer Society, Washington, DC, USA, 71-80. DOI=10.1109/MSR.2009.5069482 http://dx.doi.org/10.1109/MSR.2009.5069482 Thanks to the authors of:

Eric Enslen, Emily Hill, Lori Pollock, and K. Vijay-Shanker. 2009. Mining source code to automatically split identifiers for software analysis. In Proceedings of the 2009 6th IEEE International Working Conference on Mining Software Repositories (MSR '09). IEEE Computer Society, Washington, DC, USA, 71-80. DOI=10.1109/MSR.2009.5069482 http://dx.doi.org/10.1109/MSR.2009.5069482

SOCCER implementation uses the same global frequency table of the original paper above. The user has to upload his/her local frequency table. If needed also the global frequency can be uploaded too.
 
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