Tool for Determinization of Streett Automata
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    Abstract:

    Determinization of an automaton refers to the transformation of a nondeterministic automaton into a deterministic automaton recognizing the same language, which is one of the fundamental notions in automata theory. Determinization of ω automata serves as a basic step in the decision procedures of SnS, CTL*, and μ-calculus. Meanwhile, it is also the key to solving infinite games. Therefore, studies on the determinization of ω automata are of great significance. This study focuses on a kind of ω automata called Streett automata. Nondeterministic Streett automata can be transformed into equivalent deterministic Rabin or Parity automata. In the previous work, the study has obtained algorithms with optimal state complexity and optimal asymptotical performance, respectively. Furthermore, it is necessary to develop a tool supporting Streett determinization, so as to evaluate the actual effect of proposed algorithms and show the procedure of determinization visually. This study first introduces four different Streett determinization structures including μ-Safra trees, H-Safra trees, compact Streett Safra trees, and LIR-H-Safra trees. By H-Safra trees, which are optimal, and μ-Safra trees, deterministic Rabin transformation automata are obtained. In addition, deterministic parity transformation automata are constructed via another two structures, where LIR-H-Safra trees are asymptotically optimal. Furthermore, based on the open source software named graphical tool for omega-automata and logics (GOAL), the study develops a tool for Streett determinization and names it NS2DR&PT to support the four structures. Besides, corresponding test sets are constructed by randomly generating 100 Streett automata, and comparative experiments are carried out. Results show that the actual effect of state complexity in each structure is consistent with theoretical analysis. Moreover, the efficiency of different algorithms is compared and analyzed.

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王文胜,田聪,段振华. Streett自动机确定化工具.软件学报,2023,34(8):3659-3673

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History
  • Received:August 24,2021
  • Revised:October 14,2021
  • Adopted:
  • Online: January 28,2022
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