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    Complexity analysis for term rewriting by integer transition systems

    Naaf, M. and Frohn, F. and Brockschmidt, M. and Fuhs, Carsten and Giesl, J. (2017) Complexity analysis for term rewriting by integer transition systems. In: Dixon, C. and Finger, M. (eds.) Frontiers of Combining Systems: 11th International Symposium, FroCoS 2017, Brasília, Brazil, September 27-29, 2017, Proceedings. Lecture Notes in Artificial Intelligence 10483. Springer. ISBN 9783319661667.

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    Abstract

    We present a new method to infer upper bounds on the innermost runtime complexity of term rewrite systems (TRSs), which benefits from recent advances on complexity analysis of integer transition systems (ITSs). To this end, we develop a transformation from TRSs to a generalized notion of ITSs with (possibly non-tail) recursion. To analyze their complexity, we introduce a modular technique which allows us to use existing tools for standard ITSs in order to infer complexity bounds for our generalized ITSs. The key idea of our technique is a summarization method that allows us to analyze components of the transition system independently. We implemented our contributions in the tool AProVE, and our experiments show that one can now infer bounds for significantly more TRSs than with previous state-of-the-art tools for term rewriting.

    Metadata

    Item Type: Book Section
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Dr. Carsten Fuhs
    Date Deposited: 02 Oct 2017 14:58
    Last Modified: 27 Jul 2019 20:15
    URI: http://eprints.bbk.ac.uk/id/eprint/19182

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