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@Article{GuerraDiVéAgChSi:2021:MoEnRe,
               author = "Guerra, Eduardo and Dias, Antonio de Oliveira and V{\'e}ras, Luiz 
                         Gustavo D. O. and Aguiar, Ademar and Choma, Joelma and Silva, 
                         Tiago Silva da",
          affiliation = "{Free University of Bozen-Bolzano} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Federal de S{\~a}o 
                         Paulo (IFSP)} and {Faculdade de Engenharia da Universidade do 
                         Porto (FEUP)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Universidade Federal de S{\~a}o Paulo (UNIFESP)}",
                title = "A Model to Enable the Reuse of Metadata-Based Frameworks in 
                         Adaptive Object Model Architectures",
              journal = "IEEE Access",
                 year = "2021",
               volume = "9",
                pages = "85124--85143",
             keywords = "Adaptation modelsObject oriented 
                         modelingRuntimeAnnotationsComputer 
                         architectureJavaStandardsAdaptive architectureadaptive object 
                         modelmetadataobject-oriented designruntime environmentsoftware 
                         architecturesoftware engineeringsoftware frameworksoftware 
                         reusabilitysoftware tools.",
             abstract = "The Adaptive Object Model (AOM) is an architectural style in which 
                         domain entity types are represented as instances that can be 
                         changed at runtime. It can be used to achieve higher flexibility 
                         in domain classes. Due to AOM entities having a distinct 
                         structure, they are not compatible with most popular frameworks, 
                         especially those that use reflection and code annotations. To 
                         solve such limitations, this study aims to propose a model that 
                         enables the reuse of frameworks designed for classic 
                         object-oriented domain models in an AOM application. The proposed 
                         model uses dynamically-generated adapters for AOM entities that 
                         encapsulate them in a class with the format expected by the 
                         frameworks. A reference implementation was developed in the 
                         Esfinge AOM RoleMapper framework to evaluate the viability of the 
                         proposed model. Initially, to evaluate the solution feasibility, a 
                         case study was carried out using the Hibernate framework. Further, 
                         an experiment was conducted to assess how the participants 
                         perceived the framework functionality reuse through the proposed 
                         model. The feasibility study revealed that the solution could be 
                         applied in a complex setting for the chosen object-relational 
                         mapping frame. It raised some difficulties that can be addressed 
                         in future studies. In the experiment, the development time did not 
                         present a significant difference compared to the competing 
                         approach. Despite the considerable learning curve, most 
                         participants considered that the proposed approach has more 
                         advantages than the alternative. Based on the evaluations, we can 
                         conclude that the proposed model can be successfully employed to 
                         use AOM entities with frameworks that were not designed for AOM 
                         applications. The possibility of reusing existing frameworks can 
                         reduce the effort required to adopt an AOM architecture and, 
                         consequently, be a facilitator in implementing more flexible and 
                         adaptive approaches.",
                  doi = "10.1109/ACCESS.2021.3087795",
                  url = "http://dx.doi.org/10.1109/ACCESS.2021.3087795",
                 issn = "2169-3536",
             language = "en",
           targetfile = "guerra_model.pdf",
        urlaccessdate = "04 maio 2024"
}


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