Proving Non-Termination by Acceleration Driven Clause Learning (Short WST Version)
Florian Frohn, Jürgen Giesl · arXiv (Cornell University) · 2023
We recently proposed Acceleration Driven Clause Learning (ADCL), a novel calculus to analyze satisfiability of Constrained Horn Clauses (CHCs). Here, we adapt ADCL to disprove termination of transition systems, and we evaluate its implementation in our tool LoAT against the state of the art.