Implementation of Enhanced CloSpan Algorithm for CP-Miner
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 8
Abstract
Copy-pasted code is very common in large software and product line software because programmers prefer reusing code via copy-paste in order to reduce programming effort. Copy pasted code is prone to introducing errors. Unfortunately, it is challenging to efficiently identify copy-pasted code in large software. Existing copy-paste detection tools are either not scalable to large software, or cannot handle small modifications in copy-pasted code. In this paper we propose an enhanced CloSpan algorithm for CPMiner tool that uses data mining techniques to efficiently identify copy-pasted code in large software including operating systems. Specifically, it takes less than 20 minutes for CP-Miner with enhanced CloSpan Algorithm to identify 190,000 copy pasted segments in Linux and 150,000 in FreeBSD
Authors and Affiliations
Amita Kiran , Soujanya K. L. S. , Raju . G received
Keywords
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