A Question answering model for requirements elicitation in the context of software development

ilustraciones, gráficos

Autores:: Calle Gallego, Johnathan Mauricio

Tipo de recurso:: Doctoral thesis

Fecha de publicación:: 2022

Institución:: Universidad Nacional de Colombia

Repositorio:: Universidad Nacional de Colombia

Idioma:: eng

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dc.title.eng.fl_str_mv	A Question answering model for requirements elicitation in the context of software development
dc.title.translated.spa.fl_str_mv	Un modelo preguta-respuesta para la educción de requisitos en el contexto del desarrollo de software
title	A Question answering model for requirements elicitation in the context of software development
spellingShingle	A Question answering model for requirements elicitation in the context of software development 000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores Ingeniería de software Desarrollo del software Procesamiento del lenguaje natural (Ciencia de computador) Requirements elicitation Educción de requisitos Sistemas pregunta respuesta Procesamiento de lenguaje natural Reconocimiento de entidades nombradas Meta-ontología Question answering systems Natural language processing Named entity recognition Meta-ontology
title_short	A Question answering model for requirements elicitation in the context of software development
title_full	A Question answering model for requirements elicitation in the context of software development
title_fullStr	A Question answering model for requirements elicitation in the context of software development
title_full_unstemmed	A Question answering model for requirements elicitation in the context of software development
title_sort	A Question answering model for requirements elicitation in the context of software development
dc.creator.fl_str_mv	Calle Gallego, Johnathan Mauricio
dc.contributor.advisor.none.fl_str_mv	Zapata Jaramillo, Carlos Mario
dc.contributor.author.none.fl_str_mv	Calle Gallego, Johnathan Mauricio
dc.contributor.researchgroup.spa.fl_str_mv	Lenguajes Computacionales
dc.subject.ddc.spa.fl_str_mv	000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores
topic	000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores Ingeniería de software Desarrollo del software Procesamiento del lenguaje natural (Ciencia de computador) Requirements elicitation Educción de requisitos Sistemas pregunta respuesta Procesamiento de lenguaje natural Reconocimiento de entidades nombradas Meta-ontología Question answering systems Natural language processing Named entity recognition Meta-ontology
dc.subject.lemb.none.fl_str_mv	Ingeniería de software Desarrollo del software Procesamiento del lenguaje natural (Ciencia de computador)
dc.subject.proposal.spa.fl_str_mv	Requirements elicitation Educción de requisitos Sistemas pregunta respuesta Procesamiento de lenguaje natural Reconocimiento de entidades nombradas Meta-ontología
dc.subject.proposal.eng.fl_str_mv	Question answering systems Natural language processing Named entity recognition Meta-ontology
description	ilustraciones, gráficos
publishDate	2022
dc.date.issued.none.fl_str_mv	2022-04-04
dc.date.accessioned.none.fl_str_mv	2023-01-18T15:51:17Z
dc.date.available.none.fl_str_mv	2023-01-18T15:51:17Z
dc.type.spa.fl_str_mv	Trabajo de grado - Doctorado
dc.type.driver.spa.fl_str_mv	info:eu-repo/semantics/doctoralThesis
dc.type.version.spa.fl_str_mv	info:eu-repo/semantics/acceptedVersion
dc.type.coar.spa.fl_str_mv	http://purl.org/coar/resource_type/c_db06
dc.type.content.spa.fl_str_mv	Text
dc.type.redcol.spa.fl_str_mv	http://purl.org/redcol/resource_type/TD
format	http://purl.org/coar/resource_type/c_db06
status_str	acceptedVersion
dc.identifier.uri.none.fl_str_mv	https://repositorio.unal.edu.co/handle/unal/83008
dc.identifier.instname.spa.fl_str_mv	Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv	Repositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourl.spa.fl_str_mv	https://repositorio.unal.edu.co/
url	https://repositorio.unal.edu.co/handle/unal/83008 https://repositorio.unal.edu.co/
identifier_str_mv	Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv	eng
language	eng
dc.relation.indexed.spa.fl_str_mv	LaReferencia
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dc.publisher.spa.fl_str_mv	Universidad Nacional de Colombia
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spelling	Reconocimiento 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Zapata Jaramillo, Carlos Mario1f6ccc2b9bc8fd5381ffd55aef7e7d86Calle Gallego, Johnathan Mauricioe7674ecf77f58ed93f971d947a9711b6Lenguajes Computacionales2023-01-18T15:51:17Z2023-01-18T15:51:17Z2022-04-04https://repositorio.unal.edu.co/handle/unal/83008Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, gráficosRequirements Elicitation (RE) is focused on identifying and characterizing the stakeholders and their requirements. Such an activity may be challenging as the scope of the software product domain grows, generating errors and delays. Natural Language Processing (NLP) deals with automatically analyzing, understanding, and generating natural language. Software analysts use NLP-based approaches for improving RE, making it more efficient and reliable. However, domain scope and limitation for understanding the writing styles of requirements documents generate significant drawbacks for such approaches. In this Ph.D. Thesis we propose SQUARE (Scalable QUestion Answering for Requirements Elicitation), a novel approach for improving the NLP-based approaches for RE based on Question Answering Systems (QASs), comprising a meta-restricted domain for RE and a rule-based approach for generating RE-related questions and answers. QASs are used for extracting precise and concise answers to natural language questions. The SQUARE model represents a contribution for the NLP-based approaches for RE, allowing software analysts for identifying, extracting, and structuring key abstractions from requirements documents such as actors, actions, and concepts in a more natural way due to its proximity to a real-life RE domain. We validate our proposal by using an experimental process. The SQUARE model is included as a new work product for eliciting requirements. Therefore, the SQUARE model is intended to be an NLP-based approach to RE for software analysts.La Educción de Requisitos (ER) se enfoca en identificar y caracterizar a los interesados y sus requisitos. Esta actividad puede ser desafiante a medida que el alcance del dominio del producto de software crece, generando errores y retrasos. El Procesamiento de Lenguaje Natural (PLN) se usa para analizar, entender y generar lenguaje natural automáticamente. Los analistas de software usan enfoques basados en PLN para mejorar la ER, haciéndola más eficiente y confiable. Sin embargo, el alcance del dominio y la limitación para comprender los estilos de escritura de los documentos de requisitos generan inconvenientes importantes para estos enfoques. En esta Tesis Doctoral se presenta SQUARE (Scalable QUestion Answering for Requirements Elicitation por sus siglas en inglés), un enfoque novedoso para mejorar los enfoques basados en PLN para ER basado en Sistemas Pregunta-Respuesta (SPR), que comprende un dominio meta-restringido para ER y un enfoque basado en reglas para generar preguntas y respuestas relacionadas con la ER. Los SPR se usan para extraer respuestas precisas y concisas a preguntas en lenguaje natural. El modelo SQUARE representa una contribución a los enfoques basados en PLN para ER, permitiendo a los analistas de software identificar, extraer y estructurar abstracciones clave a partir de documentos de requisitos tales como actores, acciones y conceptos de una manera más natural debido a su proximidad con un dominio real de ER. Esta propuesta se valida usando un proceso experimental. El modelo SQUARE se incluye como un nuevo producto de trabajo para educir requisitos. Por lo tanto, el modelo SQUARE se espera que sea un enfoque de ER basado en PLN para analistas de software. (texto tomado de la fuente)Convocatoria Doctorados nacionales 785 de 2017, ColcienciasDoctoradoDoctor en IngenieríaIngeniería de requisitosProcesamiento de lenguaje naturalÁrea Curricular de Ingeniería de Sistemas e Informáticaxv, 115 páginasapplication/pdfengUniversidad Nacional de ColombiaMedellín - Minas - Doctorado en Ingeniería - SistemasDepartamento de la Computación y la DecisiónFacultad de MinasMedellín, ColombiaUniversidad Nacional de Colombia - Sede Medellín000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadoresIngeniería de softwareDesarrollo del softwareProcesamiento del lenguaje natural (Ciencia de computador)Requirements elicitationEducción de requisitosSistemas pregunta respuestaProcesamiento de lenguaje naturalReconocimiento de entidades nombradasMeta-ontologíaQuestion answering systemsNatural language processingNamed entity recognitionMeta-ontologyA Question answering model for requirements elicitation in the context of software developmentUn modelo preguta-respuesta para la educción de requisitos en el contexto del desarrollo de softwareTrabajo de grado - Doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06Texthttp://purl.org/redcol/resource_type/TDLaReferenciaAbbott, R. 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ASE2009 - 24th IEEE/ACM International Conference on Automated Software Engineering, 307–318. https://doi.org/10.1109/ASE.2009.94A question answering model for eliciting requirements in the context of software developmentMincienciasEstudiantesInvestigadoresPúblico generalLICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/83008/1/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD51ORIGINAL1128443432.2022.pdf1128443432.2022.pdfTesis Doctorado en Ingeniería - Sistemas e Informáticaapplication/pdf3098728https://repositorio.unal.edu.co/bitstream/unal/83008/2/1128443432.2022.pdfd44ac2b087cc64d905cf4cc716154503MD52THUMBNAIL1128443432.2022.pdf.jpg1128443432.2022.pdf.jpgGenerated Thumbnailimage/jpeg4823https://repositorio.unal.edu.co/bitstream/unal/83008/3/1128443432.2022.pdf.jpg7e4f08f2a9947125b9a771115cd4ce11MD53unal/83008oai:repositorio.unal.edu.co:unal/830082024-08-05 23:10:47.667Repositorio Institucional Universidad Nacional de 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A Question answering model for requirements elicitation in the context of software development

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