Semi-Automatic Mapping Technique Using Snowballing to Support Massive Literature Searches in Software Engineering

Systematic literature reviews represent an important methodology in Evidence-Based Software Engineering. To define the methodological route in these type of studies, in which a review of quantitative and qualitative aspects of primary studies is carried out to summarize the existing information rega...

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Autores:
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
eng
OAI Identifier:
oai:repositorio.uptc.edu.co:001/14339
Acceso en línea:
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14189
https://repositorio.uptc.edu.co/handle/001/14339
Palabra clave:
citation impact
evidence-based software engineering
massive literature searches
snowballing
software engineering
systematic mapping
búsquedas masivas de la literatura
impacto de la citación
ingeniería de software
ingeniería de software basada en evidencia
mapeo sistemático
snowballing
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License
http://creativecommons.org/licenses/by/4.0
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dc.title.en-US.fl_str_mv Semi-Automatic Mapping Technique Using Snowballing to Support Massive Literature Searches in Software Engineering
dc.title.es-ES.fl_str_mv Proceso de mapeo semiautomático guiado por snowballing para apoyar búsquedas masivas de literatura en ingeniería de software
title Semi-Automatic Mapping Technique Using Snowballing to Support Massive Literature Searches in Software Engineering
spellingShingle Semi-Automatic Mapping Technique Using Snowballing to Support Massive Literature Searches in Software Engineering
citation impact
evidence-based software engineering
massive literature searches
snowballing
software engineering
systematic mapping
búsquedas masivas de la literatura
impacto de la citación
ingeniería de software
ingeniería de software basada en evidencia
mapeo sistemático
snowballing
title_short Semi-Automatic Mapping Technique Using Snowballing to Support Massive Literature Searches in Software Engineering
title_full Semi-Automatic Mapping Technique Using Snowballing to Support Massive Literature Searches in Software Engineering
title_fullStr Semi-Automatic Mapping Technique Using Snowballing to Support Massive Literature Searches in Software Engineering
title_full_unstemmed Semi-Automatic Mapping Technique Using Snowballing to Support Massive Literature Searches in Software Engineering
title_sort Semi-Automatic Mapping Technique Using Snowballing to Support Massive Literature Searches in Software Engineering
dc.subject.en-US.fl_str_mv citation impact
evidence-based software engineering
massive literature searches
snowballing
software engineering
systematic mapping
topic citation impact
evidence-based software engineering
massive literature searches
snowballing
software engineering
systematic mapping
búsquedas masivas de la literatura
impacto de la citación
ingeniería de software
ingeniería de software basada en evidencia
mapeo sistemático
snowballing
dc.subject.es-ES.fl_str_mv búsquedas masivas de la literatura
impacto de la citación
ingeniería de software
ingeniería de software basada en evidencia
mapeo sistemático
snowballing
description Systematic literature reviews represent an important methodology in Evidence-Based Software Engineering. To define the methodological route in these type of studies, in which a review of quantitative and qualitative aspects of primary studies is carried out to summarize the existing information regarding a particular topic, researchers use protocols that guide the construction of knowledge from research questions. This article presents a process that uses forward Snowballing, which identifies the articles cited in the paper under study and the number of citations as inclusion criteria to complement systematic literature reviews. A process that relies on software tools was designed to apply the Snowballing strategy and to identify the most cited works and those who cite them. To validate the process, a review identified in the literature was used. After comparing the results, new works that were not taken into account but made contributions to the subject of study emerged. The citation index represents the number of times a publication has been referenced in other documents and is used as a mechanism to analyze, measure, or quantitatively assess the impact of said publication on the scientific community. The present study showed how applying Snowballing along with other strategies enables the emergence of works that may be relevant for an investigation given the citations rate. That is, implementing this proposal will allow updating or expanding systematic literature studies through the new works evidenced.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2024-07-05T19:12:07Z
dc.date.available.none.fl_str_mv 2024-07-05T19:12:07Z
dc.date.none.fl_str_mv 2022-05-21
dc.type.none.fl_str_mv info:eu-repo/semantics/article
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dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a434
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14189
10.19053/01211129.v31.n60.2022.14189
dc.identifier.uri.none.fl_str_mv https://repositorio.uptc.edu.co/handle/001/14339
url https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14189
https://repositorio.uptc.edu.co/handle/001/14339
identifier_str_mv 10.19053/01211129.v31.n60.2022.14189
dc.language.none.fl_str_mv eng
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14189/11721
dc.rights.en-US.fl_str_mv http://creativecommons.org/licenses/by/4.0
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
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http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
dc.publisher.en-US.fl_str_mv Universidad Pedagógica y Tecnológica de Colombia
dc.source.en-US.fl_str_mv Revista Facultad de Ingeniería; Vol. 31 No. 60 (2022): April-June 2022 (Continuous Publication); e14189
dc.source.es-ES.fl_str_mv Revista Facultad de Ingeniería; Vol. 31 Núm. 60 (2022): Abril-Junio 2022 (Publicación Continua); e14189
dc.source.none.fl_str_mv 2357-5328
0121-1129
institution Universidad Pedagógica y Tecnológica de Colombia
repository.name.fl_str_mv Repositorio Institucional UPTC
repository.mail.fl_str_mv repositorio.uptc@uptc.edu.co
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spelling 2022-05-212024-07-05T19:12:07Z2024-07-05T19:12:07Zhttps://revistas.uptc.edu.co/index.php/ingenieria/article/view/1418910.19053/01211129.v31.n60.2022.14189https://repositorio.uptc.edu.co/handle/001/14339Systematic literature reviews represent an important methodology in Evidence-Based Software Engineering. To define the methodological route in these type of studies, in which a review of quantitative and qualitative aspects of primary studies is carried out to summarize the existing information regarding a particular topic, researchers use protocols that guide the construction of knowledge from research questions. This article presents a process that uses forward Snowballing, which identifies the articles cited in the paper under study and the number of citations as inclusion criteria to complement systematic literature reviews. A process that relies on software tools was designed to apply the Snowballing strategy and to identify the most cited works and those who cite them. To validate the process, a review identified in the literature was used. After comparing the results, new works that were not taken into account but made contributions to the subject of study emerged. The citation index represents the number of times a publication has been referenced in other documents and is used as a mechanism to analyze, measure, or quantitatively assess the impact of said publication on the scientific community. The present study showed how applying Snowballing along with other strategies enables the emergence of works that may be relevant for an investigation given the citations rate. That is, implementing this proposal will allow updating or expanding systematic literature studies through the new works evidenced.Los estudios sistemáticos de literatura representan una metodología importante en Ingeniería de Software Basada en Evidencias, para definir la ruta metodológica en este tipo de estudios, en los cuales se realiza una revisión de aspectos cuantitativos y cualitativos de estudios primarios, con el fin de resumir la información existente sobre un tema en particular los investigadores utilizan protocolos que guían la construcción del conocimiento a partir de las preguntas de investigación. Este artículo presenta un proceso que utiliza la propuesta conocida como Snowballing hacia adelante, que identifica los artículos citados por el artículo en estudio y el número de citas como criterios de inclusión para complementar los estudios sistemáticos de literatura. Se diseñó un proceso que se apoya en herramientas de software para aplicar la estrategia Snowballing e identificar los trabajos más citados y quienes los citan. Se validó el proceso por comparación y surgieron nuevos trabajos que hicieron aportes al tema de estudio, que no habían sido considerados inicialmente. El índice de citas representa el número de veces que una publicación ha sido referenciada en otros documentos y se utiliza como mecanismo para analizar, medir o evaluar cuantitativamente el impacto de dicha publicación en la comunidad científica. La presente propuesta mostró cómo la aplicación del Snowballing con otras estrategias permite evidenciar nuevos de trabajos que pueden ser relevantes para una investigación dada la tasa de citas. Es decir, el uso de la presente propuesta permitirá actualizar o ampliar los estudios bibliográficos sistemáticos por los nuevos trabajos evidenciados.application/pdfengengUniversidad Pedagógica y Tecnológica de Colombiahttps://revistas.uptc.edu.co/index.php/ingenieria/article/view/14189/11721Copyright (c) 2022 Elizabeth Suescún-Monsalve, Julio-Cesar Sampaio-do-Prado-Leite, César-Jesús Pardo-Calvachehttp://creativecommons.org/licenses/by/4.0http://purl.org/coar/access_right/c_abf351http://purl.org/coar/access_right/c_abf2Revista Facultad de Ingeniería; Vol. 31 No. 60 (2022): April-June 2022 (Continuous Publication); e14189Revista Facultad de Ingeniería; Vol. 31 Núm. 60 (2022): Abril-Junio 2022 (Publicación Continua); e141892357-53280121-1129citation impactevidence-based software engineeringmassive literature searchessnowballingsoftware engineeringsystematic mappingbúsquedas masivas de la literaturaimpacto de la citacióningeniería de softwareingeniería de software basada en evidenciamapeo sistemáticosnowballingSemi-Automatic Mapping Technique Using Snowballing to Support Massive Literature Searches in Software EngineeringProceso de mapeo semiautomático guiado por snowballing para apoyar búsquedas masivas de literatura en ingeniería de softwareinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a434http://purl.org/coar/version/c_970fb48d4fbd8a85Suescún-Monsalve, ElizabethSampaio-do-Prado-Leite, Julio-CesarPardo-Calvache, César-Jesús001/14339oai:repositorio.uptc.edu.co:001/143392025-07-18 11:53:51.287metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co