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Publicação:
Design of frameworks for self-adaptive service-oriented applications: A systematic analysis

dc.contributor.authorFilisbino Passini, William [UNESP]
dc.contributor.authorAparecida Lana, Cristiane
dc.contributor.authorPfeifer, Vinicius [UNESP]
dc.contributor.authorAffonso, Frank José [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2022-05-01T09:31:03Z
dc.date.available2022-05-01T09:31:03Z
dc.date.issued2022-01-01
dc.description.abstractSelf-adaptive service-oriented Applications (Self-Apps) must be able to understand themselves or the environment in which they are executed, and propose solutions to meet changing conditions. The development of these applications is not a trivial task, since it encompasses issues from different research areas. Despite the importance of frameworks for Self-Apps, there is a lack of comprehensive analysis of how the design of such applications is performed, and regarding the standardization of concepts and coverage of minimum requirements for Self-Apps. The main contribution of this article is to present this comprehensive analysis, providing the state of the art for this subject. This analysis was built through a Systematic Mapping Study, based on a total of 65 studies, from which we identify the main attributes for Quality of Service (QoS), search strategies, and service management strategies employed in the design of frameworks for Self-Apps. The main aspects of requirements involved in the design of Self-Apps were pointed out to stakeholders. For example, these applications must implement a method for evaluation of QoS based on metrics. We also put forward the S-Frame, a modular solution that brings together the main features for the design of Self-Apps, and describe the main challenges concerning these applications.en
dc.description.affiliationDepartment of Statistics Applied Mathematics and Computation São Paulo State University - UNESP
dc.description.affiliationInstitute of Mathematics and Computer Sciences University of São Paulo - USP
dc.description.affiliationUnespDepartment of Statistics Applied Mathematics and Computation São Paulo State University - UNESP
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 2015/06195-3
dc.format.extent5-38
dc.identifierhttp://dx.doi.org/10.1002/spe.3013
dc.identifier.citationSoftware - Practice and Experience, v. 52, n. 1, p. 5-38, 2022.
dc.identifier.doi10.1002/spe.3013
dc.identifier.issn1097-024X
dc.identifier.issn0038-0644
dc.identifier.scopus2-s2.0-85116697458
dc.identifier.urihttp://hdl.handle.net/11449/233633
dc.language.isoeng
dc.relation.ispartofSoftware - Practice and Experience
dc.sourceScopus
dc.subjectframework
dc.subjectself-adaptive service
dc.subjectself-apps
dc.subjectsystematic mapping
dc.titleDesign of frameworks for self-adaptive service-oriented applications: A systematic analysisen
dc.typeArtigo
dspace.entity.typePublication
unesp.author.orcid0000-0002-5784-6248[4]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Geociências e Ciências Exatas, Rio Claropt
unesp.departmentEstatística, Matemática Aplicada e Computação - IGCEpt

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