Research and Application of Code Similarity Based on Submission

Yu Lang

doi:10.18282/jnt.v2i1.810

Yu Lang Shanghai Maritime University

Article ID: 810

312 Views

DOI: https://doi.org/10.18282/jnt.v2i1.810

Keywords: Commit, Incremental Analysis, Code Similarity, Code Recommendation

Abstract

With the continuous accumulation of resources, the similarity detection of code is becoming more difficult, and the difficulty of code reusingÂ and rechecking is also increasing. In view of this problem, this paper proposes a code recommendation and check-research based on submission,Â which usesÂ differential code cloning and word vector methods to find candidate code sets that are similar to incremental text, and usesÂ feature extraction and clustering to select the most relevant codes from the candidate code sets to obtain repetitive codes. At the same time,Â it isÂ recommended toÂ programmersÂ combined with relevance scores. Experimental results show that this method isÂ feasible to some extent.

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