Text analytics for discovering concerns in requirements documents

Autores
Rago, Alejandro; Marcos, Claudia A.; Diaz Pace, Andrés
Año de publicación
2012
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Recent trends in the software engineering community advocate for the improvement of textual requirements using (semi-)automated tools. In particular, the detection of incomplete or understated concerns at early development stages hold potential, due to the negative effects of untreated concerns on the development. Assistive tools can be of great help for analysts to get a quick picture of the requirements and narrow down the search for latent concerns. In this article, we present a tool called REAssistant that supports the process of discovering concerns in textual specifications. To do so, the tool relies on the UIMA framework and EMF-based technologies to provide an extensible architecture for concern-related analyses. Currently, the tool is configured to process textual use cases by using a number of textual analytics modules that identify lexical, syntactical and semantic entities in the specifications.We have conducted a preliminary evaluation of our tool in two case studies, obtaining promising results when comparing to manual inspections and to another tool.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
software requirement
tool-support,
Natural language processing
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/123892
Acceder
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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Text analytics for discovering concerns in requirements documentsRago, AlejandroMarcos, Claudia A.Diaz Pace, AndrésCiencias Informáticassoftware requirementtool-support,Natural language processingRecent trends in the software engineering community advocate for the improvement of textual requirements using (semi-)automated tools. In particular, the detection of incomplete or understated concerns at early development stages hold potential, due to the negative effects of untreated concerns on the development. Assistive tools can be of great help for analysts to get a quick picture of the requirements and narrow down the search for latent concerns. In this article, we present a tool called REAssistant that supports the process of discovering concerns in textual specifications. To do so, the tool relies on the UIMA framework and EMF-based technologies to provide an extensible architecture for concern-related analyses. Currently, the tool is configured to process textual use cases by using a number of textual analytics modules that identify lexical, syntactical and semantic entities in the specifications.We have conducted a preliminary evaluation of our tool in two case studies, obtaining promising results when comparing to manual inspections and to another tool.Sociedad Argentina de Informática e Investigación Operativa2012-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf185-198http://sedici.unlp.edu.ar/handle/10915/123892enginfo:eu-repo/semantics/altIdentifier/issn/1850-2792info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:10:35Zoai:sedici.unlp.edu.ar:10915/123892Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:10:35.308SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Text analytics for discovering concerns in requirements documents
title Text analytics for discovering concerns in requirements documents
spellingShingle Text analytics for discovering concerns in requirements documents
Rago, Alejandro
Ciencias Informáticas
software requirement
tool-support,
Natural language processing
title_short Text analytics for discovering concerns in requirements documents
title_full Text analytics for discovering concerns in requirements documents
title_fullStr Text analytics for discovering concerns in requirements documents
title_full_unstemmed Text analytics for discovering concerns in requirements documents
title_sort Text analytics for discovering concerns in requirements documents
dc.creator.none.fl_str_mv Rago, Alejandro
Marcos, Claudia A.
Diaz Pace, Andrés
author Rago, Alejandro
author_facet Rago, Alejandro
Marcos, Claudia A.
Diaz Pace, Andrés
author_role author
author2 Marcos, Claudia A.
Diaz Pace, Andrés
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
software requirement
tool-support,
Natural language processing
topic Ciencias Informáticas
software requirement
tool-support,
Natural language processing
dc.description.none.fl_txt_mv Recent trends in the software engineering community advocate for the improvement of textual requirements using (semi-)automated tools. In particular, the detection of incomplete or understated concerns at early development stages hold potential, due to the negative effects of untreated concerns on the development. Assistive tools can be of great help for analysts to get a quick picture of the requirements and narrow down the search for latent concerns. In this article, we present a tool called REAssistant that supports the process of discovering concerns in textual specifications. To do so, the tool relies on the UIMA framework and EMF-based technologies to provide an extensible architecture for concern-related analyses. Currently, the tool is configured to process textual use cases by using a number of textual analytics modules that identify lexical, syntactical and semantic entities in the specifications.We have conducted a preliminary evaluation of our tool in two case studies, obtaining promising results when comparing to manual inspections and to another tool.
Sociedad Argentina de Informática e Investigación Operativa
description Recent trends in the software engineering community advocate for the improvement of textual requirements using (semi-)automated tools. In particular, the detection of incomplete or understated concerns at early development stages hold potential, due to the negative effects of untreated concerns on the development. Assistive tools can be of great help for analysts to get a quick picture of the requirements and narrow down the search for latent concerns. In this article, we present a tool called REAssistant that supports the process of discovering concerns in textual specifications. To do so, the tool relies on the UIMA framework and EMF-based technologies to provide an extensible architecture for concern-related analyses. Currently, the tool is configured to process textual use cases by using a number of textual analytics modules that identify lexical, syntactical and semantic entities in the specifications.We have conducted a preliminary evaluation of our tool in two case studies, obtaining promising results when comparing to manual inspections and to another tool.
publishDate 2012
dc.date.none.fl_str_mv 2012-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
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dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1850-2792
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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185-198
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