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International Conference on Computer Aided Verification

CAV 2013: Computer Aided Verification pp 883–889Cite as

GOAL for Games, Omega-Automata, and Logics

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 8044)

Abstract

This paper introduces the second generation of GOAL, which is a graphical interactive tool for games, ω-automata, and logics. It is a complete redesign with an extensible architecture, many enhancements to existing functions, and new features. The extensible architecture allows easy integration of third-party plugins. The enhancements provide more automata conversion, complementation, simplification, and testing algorithms, translation of full QPTL formulae, and better automata navigation with more layout algorithms and utility functions. The new features include game solving, manipulation of two-way alternating automata, translation of ACTL formulae and ω-regular expressions, test of language star-freeness, classification of ω-regular languages into the temporal hierarchy of Manna and Pnueli, and a script interpreter.

Keywords

  • Model Check
  • Linear Temporal Logic
  • Computation Tree Logic
  • Layout Algorithm
  • Translation Algorithm

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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Author information

Authors and Affiliations

  1. National Taiwan University, Taiwan

    Ming-Hsien Tsai, Yih-Kuen Tsay & Yu-Shiang Hwang

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  1. Ming-Hsien Tsai
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  2. Yih-Kuen Tsay
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  3. Yu-Shiang Hwang
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Editor information

Editors and Affiliations

  1. University of Lugano, 6900, Lugano, Switzerland

    Natasha Sharygina

  2. University of Technology, 1040, Vienna, Austria

    Helmut Veith

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Tsai, MH., Tsay, YK., Hwang, YS. (2013). GOAL for Games, Omega-Automata, and Logics. In: Sharygina, N., Veith, H. (eds) Computer Aided Verification. CAV 2013. Lecture Notes in Computer Science, vol 8044. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39799-8_62

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  • DOI: https://doi.org/10.1007/978-3-642-39799-8_62

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