Empirical studies conducted with software collections: a mapping study

Software projects are inputs in Evidence-Based Software Engineering, although they are selected without following a specific strategy, which decreases the generalization and replication of the results. One option is to use collections of existing projects, but these must have explicit construction a...

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Autores principales: Carruthers, Juan Andrés, Díaz-Pace, Jorge Andrés, Irrazábal, Emanuel Agustín
Formato: Articulo
Lenguaje:Español
Publicado: 2023
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Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/156924
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spelling I19-R120-10915-1569242023-08-26T04:02:59Z http://sedici.unlp.edu.ar/handle/10915/156924 Empirical studies conducted with software collections: a mapping study Estudios empíricos realizados con colecciones de proyectos software: un mapeo sistemático Carruthers, Juan Andrés Díaz-Pace, Jorge Andrés Irrazábal, Emanuel Agustín 2023-05 2023-08-25T17:29:04Z es Ciencias Informáticas Colecciones Proyectos software Ingeniería del software basada en evidencia Software projects are inputs in Evidence-Based Software Engineering, although they are selected without following a specific strategy, which decreases the generalization and replication of the results. One option is to use collections of existing projects, but these must have explicit construction and maintenance rules. The objective of this work was to perform a secondary study on software project selection strategies in empirical studies, and learn about: the rules considered, project characteristics, code metrics, extraction tools and statistical analyses employed. A systematic mapping was used to identify articles from January 2013 to December 2021. We selected 150 studies in which 67% used their own rules for project selection and 31% worked with existing collections, and the majority (80%) used Java projects. Furthermore, there was no evidence of a standardized framework for project selection for empirical studies in Software Engineering. Los proyectos software son insumos en la Ingeniería del Software Basada en Evidencias, aunque estos sean seleccionados sin seguir una estrategia específica, lo cual disminuye la generalización y replicación de los resultados. Una opción es usar colecciones de proyectos existentes, pero estas deben contar con reglas explícitas de construcción y mantenimiento. El objetivo de este trabajo fue realizar un estudio secundario sistematizado sobre las estrategias de selección de los proyectos software en estudios empíricos, y conocer: las reglas consideradas, las características de los proyectos, las métricas de código, las herramientas de extracción y los análisis estadísticos practicados. Se utilizó un mapeo sistemático para identificar artículos desde enero de 2013 a diciembre de 2021. Se seleccionaron 150 estudios de los cuales el 67% utilizó reglas propias para la selección de los proyectos y el 31% trabajó con colecciones existentes, y la mayoría (80%) empleó proyectos Java. Asimismo, no se encontraron evidencias de un marco estandarizado para la selección de proyectos para estudios empíricos en Ingeniería de Software. Sociedad Argentina de Informática e Investigación Operativa Articulo Articulo http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) application/pdf 82-107
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ciencias Informáticas
Colecciones
Proyectos software
Ingeniería del software basada en evidencia
spellingShingle Ciencias Informáticas
Colecciones
Proyectos software
Ingeniería del software basada en evidencia
Carruthers, Juan Andrés
Díaz-Pace, Jorge Andrés
Irrazábal, Emanuel Agustín
Empirical studies conducted with software collections: a mapping study
topic_facet Ciencias Informáticas
Colecciones
Proyectos software
Ingeniería del software basada en evidencia
description Software projects are inputs in Evidence-Based Software Engineering, although they are selected without following a specific strategy, which decreases the generalization and replication of the results. One option is to use collections of existing projects, but these must have explicit construction and maintenance rules. The objective of this work was to perform a secondary study on software project selection strategies in empirical studies, and learn about: the rules considered, project characteristics, code metrics, extraction tools and statistical analyses employed. A systematic mapping was used to identify articles from January 2013 to December 2021. We selected 150 studies in which 67% used their own rules for project selection and 31% worked with existing collections, and the majority (80%) used Java projects. Furthermore, there was no evidence of a standardized framework for project selection for empirical studies in Software Engineering.
format Articulo
Articulo
author Carruthers, Juan Andrés
Díaz-Pace, Jorge Andrés
Irrazábal, Emanuel Agustín
author_facet Carruthers, Juan Andrés
Díaz-Pace, Jorge Andrés
Irrazábal, Emanuel Agustín
author_sort Carruthers, Juan Andrés
title Empirical studies conducted with software collections: a mapping study
title_short Empirical studies conducted with software collections: a mapping study
title_full Empirical studies conducted with software collections: a mapping study
title_fullStr Empirical studies conducted with software collections: a mapping study
title_full_unstemmed Empirical studies conducted with software collections: a mapping study
title_sort empirical studies conducted with software collections: a mapping study
publishDate 2023
url http://sedici.unlp.edu.ar/handle/10915/156924
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