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Characteristics of the context-driven meta-modeling paradigm (CDMM-P)

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Zabawa P., Stanuszek M.
Czasopismo Techniczne
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PL
The paper introduces a novel Context-Driven Meta-Modeling Paradigm (CDMM-P) and discusses its properties. The CDMM-P changes the traditional division of responsibilities within the data layer in software systems. It facilitates the interchangeable usage of both objects representing data and objects representing relationships. The decomposition of specific responsibilities results in the weakening of internal data model dependencies. This in turn allows for run-time construction of the whole data model. The proposed paradigm facilitates exceptional flexibility in the implementation of the data layer in software systems. It may be applied to domain modeling in enterprise applications as well as to the modeling of any ontology, including the construction of modeling and meta-modeling languages. As such, CDMM-P underpins a broad domain of Context-Driven Meta-Modeling Technology (CDMM-T).
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Parallelization of the Levenshtein distance algorithm

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Niewiarowski A., Stanuszek M.
Czasopismo Techniczne
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PL
This paper presents a method for the parallelization of the Levenshtein distance algorithm deployed on very large strings. The proposed approach was accomplished using .NET Framework 4.0 technology with a specific implementation of threads using the System. Threading.Task namespace library. The algorithms developed in this study were tested on a high performance machine using Xamarin Mono (for Linux RedHat/Fedora OS). The computational results demonstrate a high level of efficiency of the proposed parallelization procedure.
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