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

dc.contributor.authorMarçal, Ingrid [UNESP]
dc.contributor.authorGarcia, Rogério Eduardo [UNESP]
dc.contributor.authorEler, Danilo Medeiros [UNESP]
dc.contributor.authorJunior, Celso Olivete [UNESP]
dc.contributor.authorCorreia, Ronaldo C. M. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T17:02:10Z
dc.date.available2018-12-11T17:02:10Z
dc.date.issued2016-04-01
dc.description.abstractModularization 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.en
dc.description.affiliationCollege of Science and Technology São Paulo State University - UNESP, Campus at Presidente Prudente
dc.description.affiliationUnespCollege of Science and Technology São Paulo State University - UNESP, Campus at Presidente Prudente
dc.format.extent569-579
dc.identifierhttp://dx.doi.org/10.1007/978-3-319-32467-8_50
dc.identifier.citationAdvances in Intelligent Systems and Computing, v. 448, p. 569-579.
dc.identifier.doi10.1007/978-3-319-32467-8_50
dc.identifier.issn2194-5357
dc.identifier.lattes8031012573259361
dc.identifier.lattes2616135175972629
dc.identifier.orcid0000-0003-1248-528X
dc.identifier.scopus2-s2.0-84962631375
dc.identifier.urihttp://hdl.handle.net/11449/172785
dc.language.isoeng
dc.relation.ispartofAdvances in Intelligent Systems and Computing
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectAspects
dc.subjectConcerns
dc.subjectCrosscutting-concerns
dc.subjectCrosscuttingness
dc.subjectReview
dc.titleTechniques for the identification of crosscutting concerns: A systematic literature reviewen
dc.typeCapítulo de livro
dspace.entity.typePublication
unesp.author.lattes8031012573259361[2]
unesp.author.lattes2616135175972629[4]
unesp.author.orcid0000-0003-1248-528X[2]
unesp.departmentEstatística - FCTpt

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