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Cross-Language Clone Detection Research

Explore the cutting-edge research of detecting clones across various programming languages by Dr. Kraft and team, comparing C# and VB parsers in this preliminary study. Discover the approach using token sequences of CodeDOM graphs with Levenshtein distance for code file comparisons and limitations to address.

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Cross-Language Clone Detection Research

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  1. Clone Research • Detecting clones across multiple programming languages is on the cutting edge of research. • A preliminary version of this was done by Dr. Kraft and his students for C# and VB. • They compared the Mono C# parser (written in C#) to the Mono VB parser (written in VB). • Publication: • Nicholas A. Kraft, Brandon W. Bonds, Randy K. Smith: Cross-language Clone Detection. SEKE 2008: 54-59

  2. Dr. Kraft Approach • Token sequence of CodeDOM graphs with Levenshtein distance • The Levenshtein distance between two sequences is defined as the minimum number of edits needed to transform one sequence into the other • Performs Comparisons of code files • CodeDOM tree is tokenized • Based on Distances • Percentage of matching tokens in a sequence

  3. Dr. Kraft Approach (cont)

  4. Porting Clone Analysis • About 50% complete porting the analysis code • Dr. Kraft's code • AST, codeDOM and Tokenization's are woven tightly together

  5. Limitations • Only does file-to-file comparisons • Does not detect clones in same source file • Can only detect Type 1 and some Type 2 clones • Not very efficient (brute force)

  6. User Interface

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