Utility-Based Repair of Inconsistent Requirements

  • Authors:

  • Alexander Felfernig;Markus Mairitsch;Monika Mandl;Monika Schubert;Erich Teppan

  • Affiliations:

  • Applied Software Engineering, Graz University of Technology, Graz, Austria A-8010;Intelligent Systems and Business Informatics, University Klagenfurt, Klagenfurt, Austria A-9020;Applied Software Engineering, Graz University of Technology, Graz, Austria A-8010;Applied Software Engineering, Graz University of Technology, Graz, Austria A-8010;Intelligent Systems and Business Informatics, University Klagenfurt, Klagenfurt, Austria A-9020

  • Venue:
  • IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Knowledge-based recommender applications support the customer-individual identification of products from large and complex assortments. Recommendations are derived from customer requirements by interpreting filter constraints which reduce the set of possible products to those relevant for the customer. If no solution could be found for the requirements, repair actions are proposed which support customers in finding a way out of the "no solution could be found" dilemma. State-of-the-art systems support the identification of repair actions based on minimality assumptions, i.e., repair alternatives with low-cardinality changes are favored compared to alternatives including a higher number of changes. Consequently, repairs are calculated using breadth-first conflict resolution which not necessarily results in the most relevant changes. In this paper we present the concept of utility-based repairs which integrates utility-based recommendation with efficient conflict detection algorithms and the ideas of model-based diagnosis (MBD).