Fine-grained, accurate and scalable source differencing
Author:
Affiliation:
1. Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, Talence, France
2. Institut Universitaire de France, Paris, France
3. Universitat Politècnica de Catalunya, Barcelona, Spain
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3597503.3639148
Reference42 articles.
1. Muhammad Asaduzzaman, Chanchal K. Roy, Kevin A. Schneider, and Massimiliano Di Penta. 2013. LHDiff: A Language-Independent Hybrid Approach for Tracking Source Code Lines. In 2013 IEEE International Conference on Software Maintenance, Eindhoven, The Netherlands, September 22--28, 2013. IEEE Computer Society, New York, NY, 230--239.
2. Getafix: learning to fix bugs automatically
3. A survey on tree edit distance and related problems
4. CODIT: Code Editing with Tree-Based Neural Models
5. Change detection in hierarchically structured information
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