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Automatically Proving and Disproving Feasibility Conditions

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Automatically Proving and Disproving Feasibility Conditions

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dc.contributor.author Gutiérrez Gil, Raúl es_ES
dc.contributor.author Lucas Alba, Salvador es_ES
dc.date.accessioned 2021-12-21T06:57:12Z
dc.date.available 2021-12-21T06:57:12Z
dc.date.issued 2020-07-06 es_ES
dc.identifier.isbn 978-3-030-51053-4 es_ES
dc.identifier.issn 0302-9743 es_ES
dc.identifier.uri http://hdl.handle.net/10251/178662
dc.description.abstract [EN] In the realm of term rewriting, given terms s and t, a reachability condition s>>t is called feasible if there is a substitution O such that O(s) rewrites into O(t) in zero or more steps; otherwise, it is called infeasible. Checking infeasibility of (sequences of) reachability conditions is important in the analysis of computational properties of rewrite systems like confluence or (operational) termination. In this paper, we generalize this notion of feasibility to arbitrary n-ary relations on terms defined by first-order theories. In this way, properties of computational systems whose operational semantics can be given as a first-order theory can be investigated. We introduce a framework for proving feasibility/infeasibility, and a new tool, infChecker, which implements it. es_ES
dc.description.sponsorship Supported by EU (FEDER), and projects RTI2018-094403-B-C32, PROMETEO/2019/098, and SP20180225. Also by INCIBE program "Ayudas para la excelencia de los equipos de investigación avanzada en ciberseguridad" (Raul Gutiérrez). es_ES
dc.language Inglés es_ES
dc.publisher Springer Nature es_ES
dc.relation.ispartof Automated Reasoning. 10th International Joint Conference, IJCAR 2020, Paris, France, July 1-4, 2020, Proceedings, Part II es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;12167 es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Conditional rewriting es_ES
dc.subject Feasibility es_ES
dc.subject Program analysis es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Automatically Proving and Disproving Feasibility Conditions es_ES
dc.type Comunicación en congreso es_ES
dc.type Artículo es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-030-51054-1_27 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094403-B-C32/ES/RAZONAMIENTO FORMAL PARA TECNOLOGIAS FACILITADORAS Y EMERGENTES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//SP20180225/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement///PROMETEO%2F2019%2F098//DEEPTRUST/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Gutiérrez Gil, R.; Lucas Alba, S. (2020). Automatically Proving and Disproving Feasibility Conditions. Springer Nature. 416-435. https://doi.org/10.1007/978-3-030-51054-1_27 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 10th International Joint Conference on Automated Reasoning (IJCAR 2020) es_ES
dc.relation.conferencedate Junio 29-Julio 06,2020 es_ES
dc.relation.conferenceplace Paris, France es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-030-51054-1_27 es_ES
dc.description.upvformatpinicio 416 es_ES
dc.description.upvformatpfin 435 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\428792 es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Instituto Nacional de Ciberseguridad es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
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