会议专题

Research of Adjustment Strategy on Semantic Feature Modelling

In current feature modelling systems, an invalid feature model always has to be manually adjusted in order to make it valid again, and a feature model for which a consistent feature model in another view does not exist also has to be manually adjusted in order to make such a consistent feature model possible. The main disadvantage of manually adjusting a feature model is that it can be a lot of tedious work for a designer to get a model that satisfies all requirements, A way to avoid this is to have the system automatically adjust the feature model. An automatic model adjustment approach for the feature modelling is presented. To allow automatic adjustment of a model, it should contain information on which parameters are allowed to change,and which are not because they represent a hard requirement on the represented product. At last, An example was introduced.

semantic feature modelling automatic adjustment dependency graph, constraint solver

WANG Yuanzhi SUN Lijuan

Department of Computer Anqing Normal College AnHui Province 246003, China College of Computer Harbin University of Science and Technology HeiLongJiang Province 150080, China

国际会议

第二届国际计算机新科技与教育学术会议(Proceedings of the Second International Conference on Computer Science & Education ICCSE2007)

武汉

英文

177-180

2007-07-25(万方平台首次上网日期,不代表论文的发表时间)