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Automated Benchmarking of Incremental SAT and QBF Solvers

  • Uwe Egly
  • Florian Lonsing
  • Johannes Oetsch
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9450)

Abstract

Incremental SAT and QBF solving potentially yields improvements when sequences of related formulas are solved. An incremental application is usually tailored towards some specific solver and decomposes a problem into incremental solver calls. This hinders the independent comparison of different solvers, particularly when the application program is not available. As a remedy, we present an approach to automated benchmarking of incremental SAT and QBF solvers. Given a collection of formulas in (Q)DIMACS format generated incrementally by an application program, our approach automatically translates the formulas into instructions to import and solve a formula by an incremental SAT/QBF solver. The result of the translation is a program which replays the incremental solver calls and thus allows to evaluate incremental solvers independently from the application program. We illustrate our approach by different hardware verification problems for SAT and QBF solvers.

Keywords

Model Checker Application Program Truth Assignment Selector Variable Nest Level 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Institute of Information Systems 184/3Vienna University of TechnologyViennaAustria

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