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Erschienen in:
2013 | OriginalPaper | Buchkapitel
The Strategy Challenge in SMT Solving
verfasst von : Leonardo de Moura, Grant Olney Passmore
Erschienen in: Automated Reasoning and Mathematics
Verlag: Springer Berlin Heidelberg
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High-performance SMT solvers contain many tightly integrated, hand-crafted heuristic combinations of algorithmic proof methods. While these heuristic combinations tend to be highly tuned for known classes of problems, they may easily perform badly on classes of problems not anticipated by solver developers. This issue is becoming increasingly pressing as SMT solvers begin to gain the attention of practitioners in diverse areas of science and engineering. We present a challenge to the SMT community: to develop methods through which users can exert strategic control over core heuristic aspects of SMT solvers. We present evidence that the adaptation of ideas of strategy prevalent both within the Argonne and LCF theorem proving paradigms can go a long way towards realizing this goal.