Matching UML class models using graph edit distance

作者：

Highlights：

• UML class model distance computation framework is presented.

• Relational structure and element features incorporated into one distance measure.

• Graph Edit Distance and Hungarian algorithm is applied.

• Experiments indicate low false positive rate.

摘要

•UML class model distance computation framework is presented.•Relational structure and element features incorporated into one distance measure.•Graph Edit Distance and Hungarian algorithm is applied.•Experiments indicate low false positive rate.

论文关键词：UML class model matching,Graph edit distance,Design pattern detection

论文评审过程：Received 18 September 2018, Revised 14 March 2019, Accepted 4 April 2019, Available online 16 April 2019, Version of Record 23 April 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.04.008