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Highlights 2017

Model learning

Conference Abstract Invited session: Model learning, automata and its applications Logic in Computer Science ยท Theoretical Computer Science

Abstract

Model learning, a. k. a. active automata learning, is emerging as a effective technique for obtaining state machine models of software components. In this tutorial, I will give a brief introduction to the area, highlight how model learning helped to find standard violations in implementations of the TCP, TLS and SSH protocols, and discuss recent work on the use of SMT solvers for model learning and algorithms for model learning of timed systems.

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Context

Venue
Highlights of Logic, Games and Automata
Archive span
2013-2025
Indexed papers
1236
Paper id
696903171715409236