Mining Architectural Responsibilities and Components from Textual Specifications Written in Natural Language
- Autores
- Casamayor, A.; Godoy, D.; Campo, M.
- Año de publicación
- 2011
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Given the enormous growth and complexity of modern software systems, architectural design has become an essential concern for almost every software development project. One of the most challenging steps for designing the best architecture for a certain piece of software is the analysis of requirements, usually written in natural language by engineers not familiar with specific design formalisms. The Use Case Map (UCM) notation can be used to map requirements into proper design concerns, usually known as responsibilities. In this paper, we introduce an approachfor mining candidate architectural responsibilities and components from textual descriptions of requirements using natural language processing (NLP) techniques, in order to relieve software designers of this complex and time-consuming task. High accuracy and precision rates achieved by applying part-of-speech (POS) tagging with domain rules and semantic clustering to textual requirement documents, suggest a great potential for providing assistance to software designers during early stages of development.
Sociedad Argentina de Informática e Investigación Operativa - Materia
-
Ciencias Informáticas
software design
architectural responsibilities
architectural components
requirements engineering
text mining techniques
part-of-speech tagging - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/135381
Ver los metadatos del registro completo
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Mining Architectural Responsibilities and Components from Textual Specifications Written in Natural LanguageCasamayor, A.Godoy, D.Campo, M.Ciencias Informáticassoftware designarchitectural responsibilitiesarchitectural componentsrequirements engineeringtext mining techniquespart-of-speech taggingGiven the enormous growth and complexity of modern software systems, architectural design has become an essential concern for almost every software development project. One of the most challenging steps for designing the best architecture for a certain piece of software is the analysis of requirements, usually written in natural language by engineers not familiar with specific design formalisms. The Use Case Map (UCM) notation can be used to map requirements into proper design concerns, usually known as responsibilities. In this paper, we introduce an approachfor mining candidate architectural responsibilities and components from textual descriptions of requirements using natural language processing (NLP) techniques, in order to relieve software designers of this complex and time-consuming task. High accuracy and precision rates achieved by applying part-of-speech (POS) tagging with domain rules and semantic clustering to textual requirement documents, suggest a great potential for providing assistance to software designers during early stages of development.Sociedad Argentina de Informática e Investigación Operativa2011-06-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf4-19http://sedici.unlp.edu.ar/handle/10915/135381enginfo:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/64info:eu-repo/semantics/altIdentifier/issn/1514-6774info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:34:01Zoai:sedici.unlp.edu.ar:10915/135381Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:34:01.643SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Mining Architectural Responsibilities and Components from Textual Specifications Written in Natural Language |
title |
Mining Architectural Responsibilities and Components from Textual Specifications Written in Natural Language |
spellingShingle |
Mining Architectural Responsibilities and Components from Textual Specifications Written in Natural Language Casamayor, A. Ciencias Informáticas software design architectural responsibilities architectural components requirements engineering text mining techniques part-of-speech tagging |
title_short |
Mining Architectural Responsibilities and Components from Textual Specifications Written in Natural Language |
title_full |
Mining Architectural Responsibilities and Components from Textual Specifications Written in Natural Language |
title_fullStr |
Mining Architectural Responsibilities and Components from Textual Specifications Written in Natural Language |
title_full_unstemmed |
Mining Architectural Responsibilities and Components from Textual Specifications Written in Natural Language |
title_sort |
Mining Architectural Responsibilities and Components from Textual Specifications Written in Natural Language |
dc.creator.none.fl_str_mv |
Casamayor, A. Godoy, D. Campo, M. |
author |
Casamayor, A. |
author_facet |
Casamayor, A. Godoy, D. Campo, M. |
author_role |
author |
author2 |
Godoy, D. Campo, M. |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas software design architectural responsibilities architectural components requirements engineering text mining techniques part-of-speech tagging |
topic |
Ciencias Informáticas software design architectural responsibilities architectural components requirements engineering text mining techniques part-of-speech tagging |
dc.description.none.fl_txt_mv |
Given the enormous growth and complexity of modern software systems, architectural design has become an essential concern for almost every software development project. One of the most challenging steps for designing the best architecture for a certain piece of software is the analysis of requirements, usually written in natural language by engineers not familiar with specific design formalisms. The Use Case Map (UCM) notation can be used to map requirements into proper design concerns, usually known as responsibilities. In this paper, we introduce an approachfor mining candidate architectural responsibilities and components from textual descriptions of requirements using natural language processing (NLP) techniques, in order to relieve software designers of this complex and time-consuming task. High accuracy and precision rates achieved by applying part-of-speech (POS) tagging with domain rules and semantic clustering to textual requirement documents, suggest a great potential for providing assistance to software designers during early stages of development. Sociedad Argentina de Informática e Investigación Operativa |
description |
Given the enormous growth and complexity of modern software systems, architectural design has become an essential concern for almost every software development project. One of the most challenging steps for designing the best architecture for a certain piece of software is the analysis of requirements, usually written in natural language by engineers not familiar with specific design formalisms. The Use Case Map (UCM) notation can be used to map requirements into proper design concerns, usually known as responsibilities. In this paper, we introduce an approachfor mining candidate architectural responsibilities and components from textual descriptions of requirements using natural language processing (NLP) techniques, in order to relieve software designers of this complex and time-consuming task. High accuracy and precision rates achieved by applying part-of-speech (POS) tagging with domain rules and semantic clustering to textual requirement documents, suggest a great potential for providing assistance to software designers during early stages of development. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-06-04 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/135381 |
url |
http://sedici.unlp.edu.ar/handle/10915/135381 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/64 info:eu-repo/semantics/altIdentifier/issn/1514-6774 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
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openAccess |
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http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
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application/pdf 4-19 |
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