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.
@article{arxiv.1109.0114,
title = {(Re)configuration based on model generation},
author = {Gerhard Friedrich and Anna Ryabokon and Andreas A. Falkner and Alois Haselböck and Gottfried Schenner and Herwig Schreiner},
journal= {arXiv preprint arXiv:1109.0114},
year = {2011}
}