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dc.contributor.author | Torres Bosch, Maria Victoria | es_ES |
dc.contributor.author | Gil Pascual, Miriam | es_ES |
dc.contributor.author | Pelechano Ferragud, Vicente | es_ES |
dc.date.accessioned | 2019-12-09T08:58:44Z | |
dc.date.available | 2019-12-09T08:58:44Z | |
dc.date.issued | 2019-11-18 | |
dc.identifier.isbn | 978-3-030-35332-2 | |
dc.identifier.uri | http://hdl.handle.net/10251/132515 | |
dc.description.abstract | A software development process involves numerous persons, including customers, domain experts, software engineers, managers, evaluators and certifiers. Together, they produce some software that satisfies its requirements and its quality criteria at a certain point in time. This software contains faults and flaws of different levels of severity and at different phases of its production (specification, design, etc.) so maintenance is needed in order to correct it. Perfective and adaptive maintenance is also needed to cope with changes in the environment or with new requirements, e.g. new functionalities. In this work, we introduce the Persistent Knowledge Monitor (PKM), which is being developed within the DECODER H2020 project for handling (i.e. storing, retrieving, merging and checking for consistency) all kinds of knowledge and information related to a software project. The PKM will be part of a platform capable of taking advantage of all the artefacts available in a software ecosystem, not only the source code, but also its version control system, abstract specifications, informal documents or reports, etc. for representing the software knowledge and improving the workflow of software developers. | 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.format.extent | 8 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Springer | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Persistent Knowledge Monitor | es_ES |
dc.subject | Software engineering | es_ES |
dc.subject | Traceability | es_ES |
dc.subject.classification | BIBLIOTECONOMIA Y DOCUMENTACION | es_ES |
dc.subject.classification | CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Software Knowledge Representation to Understand Software Systems | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.1007/978-3-030-35333-9_10 | |
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/ | 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 | Torres Bosch, MV.; Gil Pascual, M.; Pelechano Ferragud, V. (2019). Software Knowledge Representation to Understand Software Systems. Springer. 137-144. https://doi.org/10.1007/978-3-030-35333-9_10 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 20th International Conference of Product-Focused Software Development and Process Improvement (PROFES 2019) | es_ES |
dc.relation.conferencedate | Noviembre 27-29,2019 | es_ES |
dc.relation.conferenceplace | Barcelona, Spain | es_ES |
dc.relation.publisherversion | https://doi.org/10.1007/978-3-030-35333-9_10 | es_ES |
dc.description.upvformatpinicio | 137 | es_ES |
dc.description.upvformatpfin | 144 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | S\398458 | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |