(Re)configuration based on model generation
  Reconfiguration is an important activity for companies selling configurable products or services which have a long life time. However, identification of a set of required changes in a legacy configuration is a hard problem, since even small changes in the requirements might imply significant modifications. In this paper we show a solution based on answer set programming, which is a logic-based knowledge representation formalism well suited for a compact description of (re)configuration problems. Its applicability is demonstrated on simple abstractions of several real-world scenarios. The evaluation of our solution on a set of benchmark instances derived from commercial (re)configuration problems shows its practical applicability. 
Gerhard Friedrich (Alpen-Adria Universit\"at), Anna Ryabokon   (Alpen-Adria Universit\"at), Andreas A. Falkner (Siemens AG \...
cs.AI cs.LO