Design pattern modeling and extraction for CAD models. (March 2016)

• Record Type: Journal Article
• Authors: Bai, Jing; Luo, Haonan; Qin, Feiwei
• Is Part Of: Advances in engineering software. Volume 93(2016)
• Page Start: 30
• Page End: 43
• Publication Date: 2016-03
• Subjects: Design pattern -- Design reuse -- Design patterns modeling -- Graph-oriented agglomerative hierarchical clustering -- Design semantics -- Reusable region; Computer-aided engineering -- Periodicals; Engineering -- Computer programs -- Periodicals; Engineering -- Software -- Periodicals; Periodicals; 620.0028553
• DOI: 10.1016/j.advengsoft.2015.12.005
• Languages: English
• ISSNs: 0965-9978

Abstract

Highlights: Design pattern is introduced into the CAD field. The characteristics and conditions of a good design pattern are defined. A platform-independent design pattern model is constructed. A multi-phases design pattern extraction approach is proposed. The design pattern extraction approach is efficient and effective. Abstract: Design pattern is widely used in the software engineering field, which enables designers to reuse existing mature designs from a high level perspective. Inspired by this idea, a novel approach is proposed to extract design patterns in the CAD field. First, the characteristics for a good design pattern are analyzed and the model for representing design patterns is elaborated. Then, given a set of 3D feature-based CAD models, the corresponding extraction approach is proposed, which includes three important phases: (1) extracting reusable regions with high cohesion, low coupling and moderate complexity so as to form a relative integrated function; (2) constructing candidate design patterns by clustering reusable regions using a graph-oriented agglomerative hierarchical clustering algorithm; (3) determining the final design patterns by choosing those candidate design patterns with high frequency and sufficient information. Finally, a design pattern extraction prototype system is developed, and the experimental results are presented to demonstrate the effectiveness of the approach.