Synthesis of Temporal Causality
<|reference_start|>Synthesis of Temporal Causality: We present an automata-based algorithm to synthesize omega-regular causes for omega-regular effects on executions of a reactive system, such as counterexamples uncovered by a model checker. Our theory is a generalization of temporal causality, which has recently been proposed as a framework for drawing causal relationships between trace properties on a given trace. So far, algorithms exist only for verifying a single causal relationship and, as an extension, cause synthesis through enumeration, which is complete only for a small fragment of effect properties. This work presents the first complete cause-synthesis algorithm for the class of omega-regular effects. We show that in this case, causes are guaranteed to be omega-regular themselves and can be computed as, e.g., nondeterministic B\"uchi automata. We demonstrate the practical feasibility of this algorithm with a prototype tool and evaluate its performance for cause synthesis and cause checking.<|reference_end|>
@article{finkbeiner2024synthesis,
    title={Synthesis of Temporal Causality},
    author={Bernd Finkbeiner, Hadar Frenkel, Niklas Metzger, Julian Siber},
    journal={Computer Aided Verification: 36th International Conference, CAV
  2024, Proceedings, Part III, Lecture Notes in Computer Science, vol 14683,
  Springer},
    year={2024},
    doi={10.1007/978-3-031-65633-0_5},
    archivePrefix={arXiv},
    eprint={2405.10912},
    primaryClass={cs.LO}
}