On Dependent Variables in Reactive Synthesis

Abstract

AbstractGiven a Linear Temporal Logic (LTL) formula over input and output variables, reactive synthesis requires us to design a deterministic Mealy machine that gives the values of outputs at every time step for every sequence of inputs, such that the LTL formula is satisfied. In this paper, we investigate the notion of dependent variables in the context of reactive synthesis. Inspired by successful pre-processing techniques in Boolean functional synthesis, we define dependent variables in reactive synthesis as output variables that are uniquely assigned, given an assignment to all other variables and the history so far. We describe an automata-based approach for finding a set of dependent variables. Using this, we show that dependent variables are surprisingly common in reactive synthesis benchmarks. Next, we develop a novel synthesis framework that exploits dependent variables to construct an overall synthesis solution. By implementing this framework using the widely used library , we show that reactive synthesis that exploits dependent variables can solve some problems beyond the reach of existing techniques. Furthermore, we observe that among benchmarks with dependent variables, if the count of non-dependent variables is low ($$\le 3$$≤3in our experiments), our method outperforms state-of-the-art tools for synthesis.