We describe how to use propositional model counting for a quantitative
analysis of product configuration data. Our approach computes valuable meta
information such as the total number of valid configurations or the relative
frequency of components. This information can be used to assess the severity of
documentation errors or to measure documentation quality. As an application
example we show how we apply these methods to product documentation formulas of
the Mercedes-Benz line of vehicles. In order to process these large formulas we
developed and implemented a new model counter for non-CNF formulas. Our model
counter can process formulas, whose CNF representations could not be processed
up till now.