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Extracting Knowledge from Software Artefacts to Assist Software Project Stakeholders

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Τίτλος: Extracting Knowledge from Software Artefacts to Assist Software Project Stakeholders
Συγγραφείς: Gil Pascual, Miriam, Torres Bosch, Maria Victoria, Albert Albiol, Manuela, Pelechano Ferragud, Vicente
Συνεισφορές: Departamento de Sistemas Informáticos y Computación, Escuela Politécnica Superior de Gandia, Escuela Técnica Superior de Ingeniería Informática, Instituto Universitario Valenciano de Investigación en Inteligencia Artificial
Στοιχεία εκδότη: Universitat Politècnica de València
Έτος έκδοσης: 2021
Συλλογή: Universitat Politécnica de Valencia: RiuNet / Politechnical University of Valencia
Θεματικοί όροι: Software development methods, Knowledge base, Knowledge extraction, Knowledge retrieval, Software artefacts
Περιγραφή: [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. ; 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 ; 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. https://riunet.upv.es/handle/10251/181478 ; S ; 1 ; 12
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conference object
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: ISD2021 Proceedings; 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/; info:eu-repo/grantAgreement/EC/H2020/824231/EU/DEveloper COmpanion for Documented and annotatEd code Reference/; 29th International Conference on Information Systems Development (ISD2021); Septiembre 08-10,2021; Valencia, Spain; https://aisel.aisnet.org/isd2014/proceedings2021/; https://riunet.upv.es/handle/10251/181478
Διαθεσιμότητα: https://riunet.upv.es/handle/10251/181478
Rights: http://rightsstatements.org/vocab/InC/1.0/ ; info:eu-repo/semantics/openAccess
Αριθμός Καταχώρησης: edsbas.6C347203
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  Data: Extracting Knowledge from Software Artefacts to Assist Software Project Stakeholders
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  Data: <searchLink fieldCode="AR" term="%22Gil+Pascual%2C+Miriam%22">Gil Pascual, Miriam</searchLink><br /><searchLink fieldCode="AR" term="%22Torres+Bosch%2C+Maria+Victoria%22">Torres Bosch, Maria Victoria</searchLink><br /><searchLink fieldCode="AR" term="%22Albert+Albiol%2C+Manuela%22">Albert Albiol, Manuela</searchLink><br /><searchLink fieldCode="AR" term="%22Pelechano+Ferragud%2C+Vicente%22">Pelechano Ferragud, Vicente</searchLink>
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  Data: Departamento de Sistemas Informáticos y Computación<br />Escuela Politécnica Superior de Gandia<br />Escuela Técnica Superior de Ingeniería Informática<br />Instituto Universitario Valenciano de Investigación en Inteligencia Artificial
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  Data: Universitat Politécnica de Valencia: RiuNet / Politechnical University of Valencia
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  Data: <searchLink fieldCode="DE" term="%22Software+development+methods%22">Software development methods</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+base%22">Knowledge base</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+extraction%22">Knowledge extraction</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+retrieval%22">Knowledge retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Software+artefacts%22">Software artefacts</searchLink>
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  Data: [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. ; 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 ; 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. https://riunet.upv.es/handle/10251/181478 ; S ; 1 ; 12
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  Data: ISD2021 Proceedings; 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/; info:eu-repo/grantAgreement/EC/H2020/824231/EU/DEveloper COmpanion for Documented and annotatEd code Reference/; 29th International Conference on Information Systems Development (ISD2021); Septiembre 08-10,2021; Valencia, Spain; https://aisel.aisnet.org/isd2014/proceedings2021/; https://riunet.upv.es/handle/10251/181478
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