Efficient scoping with CaVE: A case study

Successful scoping - the planning instrument for introduction of product line engineering - requires information about products, features, domains, and envisioned business goals. The information needed for product line scoping is usually elicited interactively with high involvement of domain experts of the application domain. In this chapter we present a case study that applies the PuLSE-CaVE approach that extracts input to scoping from user documentation. We shortly sketch the CaVE extraction approach that gives guidance on how to elicit knowledge from existing user documentation and its role in scoping. The industrial case study shows that the approach produces results with a correctness of over 79% and a completeness between 37% and 89%. We also give evidence for reducing the expert load by more than 60% (3-9 hours) per subdomain analysis.