Combining configuration and recommendation to enable an interactive guidance of product line configuration

Abstract

This chapter presents a partial recommendation approach combined with the product line (PL) configuration. The proposed approach consists of combination between the knowledge-based recommendation and the content-based recommendation. In the context of PLs, the model that represents the relationships of commonality and variability between the valid products is called a product line model (PLM). One of the most popular notations to specify the common and variable requirements of a PL is the feature models (FMs). The proposed approach was implemented in a case study for a company R. The case study consists of combining the configuration and the recommendation for an "electric board" PL. The combination of the content-based recommendation and the knowledge-based recommendation, in the case study, shows that several questions are raised such as the question on the order of features.