Semantic and multiple-view feature modelling: towards more meaningful product modelling (original) (raw)

Abstract

sparkles

AI

The paper addresses key shortcomings in current feature modelling systems, specifically the inadequate maintenance of feature semantics during the modelling process and the limited support for multiple feature views across various product development phases. By introducing an enhanced multiple-view feature modelling approach, the authors propose a framework that allows for the effective specification of feature classes with maintained semantics and support for high-level information across all stages of product development. The approach aims to enhance the functionality and usability of product modelling systems, ultimately leading to more meaningful and comprehensive product representations.

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