Research of Adjustment Strategy on Semantic Feature Modelling

摘要

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.