Configuration Representation and Modeling Using Configuration Spaces

Abstract

Configuration spaces facilitate the useful presentation of data, particularly configuration data used for representing configured products. Products include features, and common features can be grouped by families. Configuration spaces can be achieved by consolidating selected data without losing useful information. Configuration spaces break down the “universe” of possible configurations into constituent spaces defined by groups of rules for a selected feature. Common dependencies between the selected feature and related features can be consolidated to produce a more minimal form of the data used for representing the selected features and related features. Configuration spaces can provide a useful graphical view of the breakdown of all rules written for a single feature or multiple features. The data present in this view can be analyzed to, for example, study the dependency paths of an existing configuration and better understand the impact of revising configuration relationships.

Dependencies are inferred from the claim text.