Heuristics and Experiments on BDD Representation of Boolean Functions for Expert Systems in Software Verification Domains

  • Authors:
  • Masahito Kurihara;Hisashi Kondo

  • Affiliations:
  • -;-

  • Venue:
  • AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
  • Year:
  • 1999

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Abstract

Binary decision diagrams (BDDs) are graph-theoretical, compact representation of Boolean functions, successfully applied in the domain of expert systems for practiced VLSI design. The authors have been developing the methods of using BDDs for expert systems that mechanically try to prove the termination of rule-based computer programs. To make BDD representation reeJly practiced, however, we need good heuristics for ordering Booleem variables and operations. In this paper, we will present some heuristic methods that could affect the performance and evaluate them through the comprehensive experiments on sample rule-based programs taken from practical domains such as hatrdwaxe diagnosis, software specification, and mathematics. The results show the big difference among the heuristics and provide us useful information for optimizing the overall systems.