Clone Detection Using Abstract Syntax Trees
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INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
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SCAM '04 Proceedings of the Source Code Analysis and Manipulation, Fourth IEEE International Workshop
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INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
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ICSE '07 Proceedings of the 29th international conference on Software Engineering
SoftGUESS: Visualization and Exploration of Code Clones in Context
ICSE '07 Proceedings of the 29th international conference on Software Engineering
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EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
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EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
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We present a method to detect and visualize evolution patterns in C++ source code. Our method consists of three steps. First, we extract an annotated syntax tree (AST) from each version of a given C++ source code. Next, we hash the extracted syntax nodes based on a metric combining structure and type information, and construct matches (correspondences) between similar-hash subtrees. Our technique detects code fragments which have not changed, or changed little, during the software evolution. By parameterizing the similarity metric, we can flexibly decide what is considered to be identical or not during the software evolution. Finally, we visualize the evolution of the code structure by emphasizing both changing and constant code patterns. We demonstrate our technique on a versioned code base containing a variety of changes ranging from simple to complex.