Published April 28, 2023
| Version v1
Software
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Artifact of "Active Learning of Deterministic Timed Automata with Myhill-Nerode Style Characterization"
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)
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md5:d9ebb6d66543dcdf1bf6cf567c0b25ef
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4.8 GB | Preview Download |
md5:1ebbd3e34237af26da5dc08a4e440464
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35.1 kB | Download |