Techniques for the identification of crosscutting concerns: A systematic literature review

Detalhes bibliográficos
Autor(a) principal: Marçal, Ingrid [UNESP]
Data de Publicação: 2016
Outros Autores: Garcia, Rogério Eduardo [UNESP], Eler, Danilo Medeiros [UNESP], Junior, Celso Olivete [UNESP], Correia, Ronaldo C. M. [UNESP]
Tipo de documento: Capítulo de livro
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/978-3-319-32467-8_50
http://hdl.handle.net/11449/172785
Resumo: Modularization is a goal difficult to achieve in software development. Some requirements, named crosscutting concerns, cannot be clearly mapped into isolated source code units, and their implementations tend to cut across multiple units. Although several researches propose new approaches to identify crosscutting concerns, few works aim to provide analysis, synthesis and documentation of the aspect mining literature. To address this research gap, we conducted a systematic literature review to provide researchers with a state-of-the-art of the existing aspect mining techniques. We point out challenges and open issues on most of the techniques analyzed that could be improved in further researches.
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spelling Techniques for the identification of crosscutting concerns: A systematic literature reviewAspectsConcernsCrosscutting-concernsCrosscuttingnessReviewModularization is a goal difficult to achieve in software development. Some requirements, named crosscutting concerns, cannot be clearly mapped into isolated source code units, and their implementations tend to cut across multiple units. Although several researches propose new approaches to identify crosscutting concerns, few works aim to provide analysis, synthesis and documentation of the aspect mining literature. To address this research gap, we conducted a systematic literature review to provide researchers with a state-of-the-art of the existing aspect mining techniques. We point out challenges and open issues on most of the techniques analyzed that could be improved in further researches.College of Science and Technology São Paulo State University - UNESP, Campus at Presidente PrudenteCollege of Science and Technology São Paulo State University - UNESP, Campus at Presidente PrudenteUniversidade Estadual Paulista (Unesp)Marçal, Ingrid [UNESP]Garcia, Rogério Eduardo [UNESP]Eler, Danilo Medeiros [UNESP]Junior, Celso Olivete [UNESP]Correia, Ronaldo C. M. [UNESP]2018-12-11T17:02:10Z2018-12-11T17:02:10Z2016-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPart569-579http://dx.doi.org/10.1007/978-3-319-32467-8_50Advances in Intelligent Systems and Computing, v. 448, p. 569-579.2194-5357http://hdl.handle.net/11449/17278510.1007/978-3-319-32467-8_502-s2.0-84962631375803101257325936126161351759726290000-0003-1248-528XScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAdvances in Intelligent Systems and Computinginfo:eu-repo/semantics/openAccess2024-06-18T18:18:24Zoai:repositorio.unesp.br:11449/172785Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:11:25.699318Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Techniques for the identification of crosscutting concerns: A systematic literature review
title Techniques for the identification of crosscutting concerns: A systematic literature review
spellingShingle Techniques for the identification of crosscutting concerns: A systematic literature review
Marçal, Ingrid [UNESP]
Aspects
Concerns
Crosscutting-concerns
Crosscuttingness
Review
title_short Techniques for the identification of crosscutting concerns: A systematic literature review
title_full Techniques for the identification of crosscutting concerns: A systematic literature review
title_fullStr Techniques for the identification of crosscutting concerns: A systematic literature review
title_full_unstemmed Techniques for the identification of crosscutting concerns: A systematic literature review
title_sort Techniques for the identification of crosscutting concerns: A systematic literature review
author Marçal, Ingrid [UNESP]
author_facet Marçal, Ingrid [UNESP]
Garcia, Rogério Eduardo [UNESP]
Eler, Danilo Medeiros [UNESP]
Junior, Celso Olivete [UNESP]
Correia, Ronaldo C. M. [UNESP]
author_role author
author2 Garcia, Rogério Eduardo [UNESP]
Eler, Danilo Medeiros [UNESP]
Junior, Celso Olivete [UNESP]
Correia, Ronaldo C. M. [UNESP]
author2_role author
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]
Eler, Danilo Medeiros [UNESP]
Junior, Celso Olivete [UNESP]
Correia, Ronaldo C. M. [UNESP]
dc.subject.por.fl_str_mv Aspects
Concerns
Crosscutting-concerns
Crosscuttingness
Review
topic Aspects
Concerns
Crosscutting-concerns
Crosscuttingness
Review
description Modularization is a goal difficult to achieve in software development. Some requirements, named crosscutting concerns, cannot be clearly mapped into isolated source code units, and their implementations tend to cut across multiple units. Although several researches propose new approaches to identify crosscutting concerns, few works aim to provide analysis, synthesis and documentation of the aspect mining literature. To address this research gap, we conducted a systematic literature review to provide researchers with a state-of-the-art of the existing aspect mining techniques. We point out challenges and open issues on most of the techniques analyzed that could be improved in further researches.
publishDate 2016
dc.date.none.fl_str_mv 2016-04-01
2018-12-11T17:02:10Z
2018-12-11T17:02:10Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/978-3-319-32467-8_50
Advances in Intelligent Systems and Computing, v. 448, p. 569-579.
2194-5357
http://hdl.handle.net/11449/172785
10.1007/978-3-319-32467-8_50
2-s2.0-84962631375
8031012573259361
2616135175972629
0000-0003-1248-528X
url http://dx.doi.org/10.1007/978-3-319-32467-8_50
http://hdl.handle.net/11449/172785
identifier_str_mv Advances in Intelligent Systems and Computing, v. 448, p. 569-579.
2194-5357
10.1007/978-3-319-32467-8_50
2-s2.0-84962631375
8031012573259361
2616135175972629
0000-0003-1248-528X
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Advances in Intelligent Systems and Computing
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 569-579
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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