Abstract
Product Comparison Matrices (PCMs) provide a simple way to express variability in a product family, but sometimes need to be completed by more formal alternatives like Feature Models (FMs). In this paper, we focus on concept lattices, another alternative already explored in several works to express variability. Besides, an extension of Formal Concept Analysis (FCA) can represent the case where a product family is described by other product families. We propose a way to translate data from PCMs to be analyzed by FCA-based approaches. Because of the combinatorial aspect of these approaches, we evaluate the scalability of the produced structures. We show that a particular structure (AOC-poset) possesses interesting properties for the studies that we envision.