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Encodings of bounded synthesis. (English) Zbl 1452.68118
Legay, Axel (ed.) et al., Tools and algorithms for the construction and analysis of systems. 23rd international conference, TACAS 2017, held as part of the European joint conferences on theory and practice of software, ETAPS 2017, Uppsala, Sweden, April 22–29, 2017. Proceedings. Part I. Berlin: Springer. Lect. Notes Comput. Sci. 10205, 354-370 (2017).
Summary: The reactive synthesis problem is to compute a system satisfying a given specification in temporal logic. Bounded synthesis is the approach to bound the maximum size of the system that we accept as a solution to the reactive synthesis problem. As a result, bounded synthesis is decidable whenever the corresponding verification problem is decidable, and can be applied in settings where classic synthesis fails, such as in the synthesis of distributed systems. In this paper, we study the constraint solving problem behind bounded synthesis. We consider different reductions of the bounded synthesis problem of linear-time temporal logic (LTL) to constraint systems given as Boolean formulas (SAT), quantified Boolean formulas (QBF), and dependency quantified Boolean formulas (DQBF). The reductions represent different trade-offs between conciseness and algorithmic efficiency. In the SAT encoding, both inputs and states of the system are represented explicitly; in QBF, inputs are symbolic and states are explicit; in DQBF, both inputs and states are symbolic. We evaluate the encodings systematically using benchmarks from the reactive synthesis competition (SYNTCOMP) and state-of-the-art solvers. Our key, and perhaps surprising, empirical finding is that QBF clearly dominates both SAT and DQBF.
For the entire collection see [Zbl 1360.68015].

68Q60 Specification and verification (program logics, model checking, etc.)
03B44 Temporal logic
ABC; Acacia+; Bloqqer; CAQE
Full Text: DOI
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