UMLDiff: an algorithm for object-oriented design differencing

By Zhenchang Xing, Eleni Stroulia. International Conference on Automated Software Engineering, 2005

488 citations recorded by the source corpus.

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Why we refactor? confessions of GitHub contributors (2016, methodology): “The tool, named RefactoringMiner in this paper, implements a lightweight version of the UMLDiff [42] algorithm for differencing object-oriented models.”
Fine-grained and accurate source code differencing (2014, methodology): “Finally there are also several algorithms that go beyond the AST structure and compute edit scripts on graphs representing the source code [24, 26, 2, 9].”
Accurate and Efficient Refactoring Detection in Commit History (2018, methodology): “Xing and Stroulia [78] developed a tool, JDEvAn [80], which detects and classifies refactorings based on the design-level changes reported by UMLDiff [77].”
Change Distilling:Tree Differencing for Fine-Grained Source Code Change Extraction (2007, methodology): “In combination with source code, bigrams have been used by Xing and Stroulia for their UMLDiff approach [42] and trigrams by Weidl and Gall for their CORET approach [38].”