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dc.contributor.author | Alpuente Frasnedo, María | es_ES |
dc.contributor.author | Ballis, Demis | es_ES |
dc.contributor.author | Escobar Román, Santiago | es_ES |
dc.contributor.author | Galán-Pascual, Daniel | es_ES |
dc.contributor.author | Sapiña-Sanchis, Julia | es_ES |
dc.date.accessioned | 2023-10-17T18:01:24Z | |
dc.date.available | 2023-10-17T18:01:24Z | |
dc.date.issued | 2022 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/198248 | |
dc.description.abstract | [EN] Partial evaluation (PE) is a branch of computer science that achieves code optimization via specialization. This article describes a PE methodology for optimizing rewrite theories that encode concurrent as well as nondeterministic systems by means of the Maude language. The main advantages of the proposed methodology can be summarized as follows: An automatic program optimization technique for rewrite theories featuring several PE criteria that support the specialization of a broad class of rewrite theories. An incremental partial evaluation modality that allows the key specialization components to be encapsulated at the desired granularity level to facilitate progressive refinements of the specialization. All executability theory requirements are preserved by the PE transformation. Also the transformation ensures the semantic equivalence between the original rewrite theory and the specialized theory under rather mild conditions. | es_ES |
dc.description.sponsorship | This work was partially supported by TAILOR, a project funded by the EU Horizon 2020 research and innovation programme under GA No 952215, grant PID2021-122830OB-C42 funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe", and by the Generalitat Valenciana under grant PROMETEO/2019/098. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | MethodsX | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | A Partial Evaluation Methodology for Optimizing Rewrite Theories Incrementally | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.mex.2022.101802 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/952215/EU | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2019%2F098//DEEPTRUST/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//PID2021-122830OB-C42/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica | es_ES |
dc.description.bibliographicCitation | Alpuente Frasnedo, M.; Ballis, D.; Escobar Román, S.; Galán-Pascual, D.; Sapiña-Sanchis, J. (2022). A Partial Evaluation Methodology for Optimizing Rewrite Theories Incrementally. MethodsX. 9:1-10. https://doi.org/10.1016/j.mex.2022.101802 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.mex.2022.101802 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 10 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 9 | es_ES |
dc.identifier.eissn | 2215-0161 | es_ES |
dc.identifier.pmid | 36034524 | es_ES |
dc.identifier.pmcid | PMC9400080 | es_ES |
dc.relation.pasarela | S\469609 | es_ES |
dc.contributor.funder | GENERALITAT VALENCIANA | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | COMISION DE LAS COMUNIDADES EUROPEA | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
upv.costeAPC | 550 | es_ES |