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Published April 28, 2023 | Version v1
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Artifact of "Active Learning of Deterministic Timed Automata with Myhill-Nerode Style Characterization"

  • 1. Kyoto University

Description

This is an artifact of our paper "Active Learning of Deterministic Timed Automata with Myhill-Nerode Style Characterization." The artifact contains LearnTA, a prototype tool implementing the proposed algorithm, and DOTALearningSMT (called OneSMT in the paper), an existing tool used in the experiment as a baseline method.
 

Files

LearnTA.zip

Files (4.8 GB)

Name Size Download all
md5:d9ebb6d66543dcdf1bf6cf567c0b25ef
4.8 GB Preview Download
md5:1ebbd3e34237af26da5dc08a4e440464
35.1 kB Download