@incollection{tacas2022,
    author     = {{\'A}dam, Zs{\'o}fia and Levente, Bajczi and Dobos-Kov{\'a}cs, Mih{\'a}ly and Hajdu, {\'A}kos and Moln{\'a}r, Vince},
    title      = {{T}heta: portfolio of {CEGAR}-based analyses with dynamic algorithm selection (Competition Contribution)},
    year       = {2022},
    booktitle  = {Tools and Algorithms for the Construction and Analysis of Systems},
    series     = {Lecture Notes in Computer Science},
    volume     = {13244},
    pages      = {474--478},
    publisher  = {Springer},
    doi        = {10.1007/978-3-030-99527-0_34},

    type       = {Conference},

    url_pdf    = {https://hajduakos.github.io/publications/tacas2022.pdf},
    url_link   = {https://link.springer.com/chapter/10.1007/978-3-030-99527-0_34},
    abstract   = {Theta is a model checking framework based on abstraction refinement algorithms. In SV-COMP 2022, we introduce: 1) reasoning at the source-level via a direct translation from C programs; 2) support for concurrent programs with interleaving semantics; 3) mitigation for non-progressing refinement loops; 4) support for SMT-LIB-compliant solvers. We combine all of the aforementioned techniques into a portfolio with dynamic algorithm selection.},
}

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