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Extracting Knowledge from Software Artefacts to Assist Software Project Stakeholders

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Extracting Knowledge from Software Artefacts to Assist Software Project Stakeholders

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dc.contributor.author Gil Pascual, Miriam es_ES
dc.contributor.author Torres Bosch, Maria Victoria es_ES
dc.contributor.author Albert Albiol, Manuela es_ES
dc.contributor.author Pelechano Ferragud, Vicente es_ES
dc.date.accessioned 2022-03-22T07:41:48Z
dc.date.available 2022-03-22T07:41:48Z
dc.date.issued 2021-09-10 es_ES
dc.identifier.isbn 978-1-908358-98-1 es_ES
dc.identifier.uri http://hdl.handle.net/10251/181478
dc.description.abstract [EN] Software development methods should foster the exploitation of artefacts from existing code bases in order to improve software development productivity. These artefacts are commonly stored in repositories from which extracting knowledge is very difficult for several reasons, i.e., the stored data is represented in a wide variety of formats or is not usually linked properly to all the related artefacts. In this work, we address the challenge of extracting knowledge from different artefacts that can be produced within a software project. To this end, we present a Persistent Knowledge Monitor (PKM) for handling several kinds of knowledge and information related to a software project. The PKM bases on the JSON format to structure and store the different artefacts. By using a common representation format, we are able to extract knowledge more easily. Also, we provide a query language for searching and reasoning on the stored data. es_ES
dc.description.sponsorship This work has been developed with the financial support of the European Union's Horizon 2020 research and innovation programme under grant agreement No. 824231 and the Spanish State Research Agency under the project TIN2017-84094-R and co-financed with ERDF es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof ISD2021 Proceedings es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Software development methods es_ES
dc.subject Knowledge base es_ES
dc.subject Knowledge extraction es_ES
dc.subject Knowledge retrieval es_ES
dc.subject Software artefacts es_ES
dc.title Extracting Knowledge from Software Artefacts to Assist Software Project Stakeholders es_ES
dc.type Comunicación en congreso es_ES
dc.type Capítulo de libro es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-84094-R/ES/DISEÑO DE SISTEMAS AUTO-ADAPTATIVOS INVOLUCRANDO AL HUMANO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/824231/EU/DEveloper COmpanion for Documented and annotatEd code Reference/
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Gil Pascual, M.; Torres Bosch, MV.; Albert Albiol, M.; Pelechano Ferragud, V. (2021). Extracting Knowledge from Software Artefacts to Assist Software Project Stakeholders. Universitat Politècnica de València. 1-12. http://hdl.handle.net/10251/181478 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 29th International Conference on Information Systems Development (ISD2021) es_ES
dc.relation.conferencedate Septiembre 08-10,2021 es_ES
dc.relation.conferenceplace Valencia, Spain es_ES
dc.relation.publisherversion https://aisel.aisnet.org/isd2014/proceedings2021/ es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\453358 es_ES


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