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Titlebook: Clustering-Based Support for Software Architecture Restructuring; Niels Streekmann Book 2011 Vieweg+Teubner Verlag | Springer Fachmedien W

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https://doi.org/10.1007/978-3-663-19653-2ncepts as e.g. the terms model and metamodel. Section 5.2 describes model transformations, while Section 5.3 examines the role of architecture in current model-driven software development approaches. Section 5.4 presents interoperability metamodels, which are a conceptual basis for the metamodels us
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https://doi.org/10.1007/978-3-663-02911-3n Section 6.1, it introduces typical application scenarios in Section 6.2. Based on these, the goals (Section 6.3) and research questions (Section 6.4) of MARE are discussed. Finally, Section 6.5 defines basic terms of MARE.
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Schwesterninteraktionen im Lebensverlauf,riteria of MARE Clustering. Section 8.2 introduces the actual clustering algorithm and its underlying graph model. Section 8.3 discusses the impact of dependencies and their weights on the clustering, while Section 8.4 examines the role of arbitrary decisions taken by the clustering algorithm. Secti
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Badepflege. (Wärme- und Kältebehandlung.) MARE clustering. Section 10.1 describes a preliminary case study with a small Java reference implementation, that was used to examine and accentuate the concepts of MARE and create initial versions of the prototypical implementation.
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Tätigkeit der Operationsschwesterware architecture restructuring. The chapter is organised following the main contributions of MARE: the MARE Method (Section 12.1), which represents the overall process model for architecture restructuring, MARE Clustering (Section 12.2), which introduces an adjusted clustering algorithm to create t
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https://doi.org/10.1007/978-3-642-99254-4ities. The main topics for future work are the automated restructuring of the implementation (Section 13.1), the definition of cohesion for coarse-grained modules (Section 13.2), and the further evaluation of the MARE approach (Section 13.3).
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