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Model Driven Software Reconfiguration by Exploiting Grammar Based Genetic Programming
| dc.rights.license | open | en_US |
| hal.structure.identifier | ESTIA INSTITUTE OF TECHNOLOGY | |
| dc.contributor.author | MUNANTE, Denisse | |
| dc.contributor.author | KIFETEW, Fitsum Meshesha | |
| dc.contributor.author | GORRONOGOITIA, Jesus | |
| dc.contributor.author | SCHANIEL, Ronnie | |
| dc.contributor.author | PERINI, Anna | |
| dc.contributor.author | SUSI, Angelo | |
| dc.contributor.editor | Ana Moreira | |
| dc.contributor.editor | Gunter Mussbacher | |
| dc.contributor.editor | João Araujo | |
| dc.contributor.editor | Pablo Sanchez | |
| dc.date.accessioned | 2024-06-10T07:18:03Z | |
| dc.date.available | 2024-06-10T07:18:03Z | |
| dc.date.conference | 2018-08-20 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/200352 | |
| dc.description.abstractEn | Dynamic reconfiguration of software systems can be achieved by exploiting variability models of such systems, combined with mechanisms for selecting and instantiating the appropriate system configuration. We developed a model-driven approach for dynamic software reconfiguration, which uses a component profile-oriented feature model for representing different configurations of a software system, and a grammar based genetic programming tool that, at run-time, automatically generates an optimal system configuration. The resulting feature configuration is transformed to a target format such as JSON, SQL or other specification that allows us to instantiate the new system configuration. In this paper we focus on the run-time reasoning and propagation aspect, and discuss our experience on applying the approach to a use case. | |
| dc.language.iso | EN | en_US |
| dc.publisher | IEEE | en_US |
| dc.subject.en | Genetic programming | |
| dc.subject.en | Feature model | |
| dc.subject.en | models@runtime | |
| dc.title.en | Model Driven Software Reconfiguration by Exploiting Grammar Based Genetic Programming | |
| dc.type | Communication dans un congrès | en_US |
| dc.identifier.doi | 10.1109/MoDRE.2018.00009 | en_US |
| dc.subject.hal | Informatique [cs]/Génie logiciel [cs.SE] | en_US |
| dc.subject.hal | Informatique [cs]/Modélisation et simulation | en_US |
| dc.subject.hal | Informatique [cs]/Intelligence artificielle [cs.AI] | en_US |
| dc.description.sponsorshipEurope | SUpporting evolution and adaptation of PERsonalized Software by Exploiting contextual Data and End-user feedback | en_US |
| bordeaux.page | 21-25 | en_US |
| bordeaux.hal.laboratories | ESTIA - Recherche | en_US |
| bordeaux.issue | ISBN 978-1-5386-8406-1 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.conference.title | 8th International Model-Driven Requirements Engineering Workshop (MoDRE) | en_US |
| bordeaux.country | ca | en_US |
| bordeaux.title.proceeding | 8th IEEE International Model-Driven Requirements Engineering Workshop, MoDRE@RE 2018, Banff, AB, Canada | en_US |
| bordeaux.conference.city | Banff | en_US |
| bordeaux.import.source | hal | |
| hal.identifier | hal-01987217 | |
| hal.version | 1 | |
| hal.invited | non | en_US |
| hal.proceedings | oui | en_US |
| hal.conference.end | 2018-08-20 | |
| hal.popular | non | en_US |
| hal.audience | Internationale | en_US |
| hal.export | false | |
| workflow.import.source | hal | |
| dc.rights.cc | Pas de Licence CC | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.issue=ISBN%20978-1-5386-8406-1&rft.spage=21-25&rft.epage=21-25&rft.au=MUNANTE,%20Denisse&KIFETEW,%20Fitsum%20Meshesha&GORRONOGOITIA,%20Jesus&SCHANIEL,%20Ronnie&PERINI,%20Anna&rft.genre=unknown |
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