Mining software repository to identify crosscutting concerns using combined techniques

Detalhes bibliográficos
Autor(a) principal: Marçal, Ingrid [UNESP]
Data de Publicação: 2013
Outros Autores: Garcia, Rogério Eduardo [UNESP], Correia, Ronaldo C. M. [UNESP], Olivete, Celso [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/228022
Resumo: Modularization is a goal difficult to achieve in software development. Aspect mining aims to identify crosscutting concerns in non aspect oriented software allowing organizing them into aspects and, thus, improve the modularization. Several techniques have been proposed to identify crosscutting concerns from software repositories, usually by analyzing static data or execution traces. In this paper we present an approach on mining crosscutting concerns using combined results from two techniques: Frequent Closed Itemset Mining and Commit Frequency Analysis, which is presented in this paper as well. We evaluated our approach and observed that combining both techniques lead to better sets of crosscutting concerns candidates.
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spelling Mining software repository to identify crosscutting concerns using combined techniquesAspect miningCode evolutionMining software repositoriesSoftware maintenanceModularization is a goal difficult to achieve in software development. Aspect mining aims to identify crosscutting concerns in non aspect oriented software allowing organizing them into aspects and, thus, improve the modularization. Several techniques have been proposed to identify crosscutting concerns from software repositories, usually by analyzing static data or execution traces. In this paper we present an approach on mining crosscutting concerns using combined results from two techniques: Frequent Closed Itemset Mining and Commit Frequency Analysis, which is presented in this paper as well. We evaluated our approach and observed that combining both techniques lead to better sets of crosscutting concerns candidates.Departamento de Matemática E Computação, Faculdade de Ciências E Tecnologia, Universidade Estadual Paulista Júlio de Mesquita Filho - UNESPDepartamento de Matemática E Computação, Faculdade de Ciências E Tecnologia, Universidade Estadual Paulista Júlio de Mesquita Filho - UNESPUniversidade Estadual Paulista (UNESP)Marçal, Ingrid [UNESP]Garcia, Rogério Eduardo [UNESP]Correia, Ronaldo C. M. [UNESP]Olivete, Celso [UNESP]2022-04-29T07:26:22Z2022-04-29T07:26:22Z2013-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject338-343Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE, v. 2013-January, n. January, p. 338-343, 2013.2325-90862325-9000http://hdl.handle.net/11449/2280222-s2.0-84937700496Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKEinfo:eu-repo/semantics/openAccess2024-06-19T14:32:18Zoai:repositorio.unesp.br:11449/228022Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:03:27.979149Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Mining software repository to identify crosscutting concerns using combined techniques
title Mining software repository to identify crosscutting concerns using combined techniques
spellingShingle Mining software repository to identify crosscutting concerns using combined techniques
Marçal, Ingrid [UNESP]
Aspect mining
Code evolution
Mining software repositories
Software maintenance
title_short Mining software repository to identify crosscutting concerns using combined techniques
title_full Mining software repository to identify crosscutting concerns using combined techniques
title_fullStr Mining software repository to identify crosscutting concerns using combined techniques
title_full_unstemmed Mining software repository to identify crosscutting concerns using combined techniques
title_sort Mining software repository to identify crosscutting concerns using combined techniques
author Marçal, Ingrid [UNESP]
author_facet Marçal, Ingrid [UNESP]
Garcia, Rogério Eduardo [UNESP]
Correia, Ronaldo C. M. [UNESP]
Olivete, Celso [UNESP]
author_role author
author2 Garcia, Rogério Eduardo [UNESP]
Correia, Ronaldo C. M. [UNESP]
Olivete, Celso [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Marçal, Ingrid [UNESP]
Garcia, Rogério Eduardo [UNESP]
Correia, Ronaldo C. M. [UNESP]
Olivete, Celso [UNESP]
dc.subject.por.fl_str_mv Aspect mining
Code evolution
Mining software repositories
Software maintenance
topic Aspect mining
Code evolution
Mining software repositories
Software maintenance
description Modularization is a goal difficult to achieve in software development. Aspect mining aims to identify crosscutting concerns in non aspect oriented software allowing organizing them into aspects and, thus, improve the modularization. Several techniques have been proposed to identify crosscutting concerns from software repositories, usually by analyzing static data or execution traces. In this paper we present an approach on mining crosscutting concerns using combined results from two techniques: Frequent Closed Itemset Mining and Commit Frequency Analysis, which is presented in this paper as well. We evaluated our approach and observed that combining both techniques lead to better sets of crosscutting concerns candidates.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-01
2022-04-29T07:26:22Z
2022-04-29T07:26:22Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE, v. 2013-January, n. January, p. 338-343, 2013.
2325-9086
2325-9000
http://hdl.handle.net/11449/228022
2-s2.0-84937700496
identifier_str_mv Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE, v. 2013-January, n. January, p. 338-343, 2013.
2325-9086
2325-9000
2-s2.0-84937700496
url http://hdl.handle.net/11449/228022
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 338-343
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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