A deep learning-based approach to similarity calculation for UML use case models

Shizhe Song, Ye Wang, Xiaoyang Wang, Chengyi Lin, Kun Hu

Abstract: Highlights•A novel deep learning-based approach to calculate similarity of use case diagrams.•The integration of both semantic and structural information of use case diagrams.•A set of comparison experiments on a real dataset of use case diagrams.•Our approach is both effective and efficient.•Useful for model reuse, model validation, model retrieval and pattern detection.